diff --git a/README.md b/README.md
index 2ea064b8..ace88d83 100644
--- a/README.md
+++ b/README.md
@@ -1,3 +1,7 @@
+## 2023-06-26
+|paper|code|
+|---|---|
+|[necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables](https://arxiv.org/abs/2102.10324)|[tigramite](https://github.com/jakobrunge/tigramite)|
 ## 2023-06-23
 |paper|code|
 |---|---|
@@ -17,6 +21,7 @@
 |[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[dnn-ha](https://github.com/hearingtechnology/dnn-ha)|
 |[tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis](https://arxiv.org/abs/2209.01992)|[tfn](https://github.com/chenqian0618/tfn)|
 |[bayesian optimization of sampling densities in mri](https://arxiv.org/abs/2209.07170)|[bindings-nufft-pytorch](https://github.com/albangossard/bindings-nufft-pytorch)|
+|[short-length ssvep data extension by a novel generative adversarial networks based framework](https://arxiv.org/abs/2301.05599)|[tegan](https://github.com/yudongpan/tegan)|
 |[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|
 |[lora backscatter communications: temporal, spectral, and error performance analysis](https://arxiv.org/abs/2306.02323)|[lora-backscatter-performance-analysis](https://github.com/slingovie/lora-backscatter-performance-analysis)|
 |[multiwave: multiresolution deep architectures through wavelet decomposition for multivariate time series prediction](https://arxiv.org/abs/2306.10164)|[multiwave](https://github.com/information-fusion-lab-umass/multiwave)|
diff --git a/daily.json b/daily.json
index 222f3a79..37eee17e 100644
--- a/daily.json
+++ b/daily.json
@@ -1 +1 @@
-{"2021-05-25": {"2101.03909": "|[deep joint source channel coding for wirelessimage transmission with ofdm](https://arxiv.org/abs/2101.03909)|[Deep-JSCC-for-images-with-OFDM](https://github.com/mingyuyng/Deep-JSCC-for-images-with-OFDM)|\n", "2105.07196": "|[joint learning of multiple granger causal networks via non-convex regularizations: inference of group-level brain connectivity](https://arxiv.org/abs/2105.07196)|[JGranger_ncvx](https://github.com/parinthorn/JGranger_ncvx)|\n", "2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n", "2012.13607": "|[deep active learning approach to adaptive beamforming for mmwave initial alignment](https://arxiv.org/abs/2012.13607)|[DL-ActiveLearning-BeamAlignment](https://github.com/foadsohrabi/DL-ActiveLearning-BeamAlignment)|\n", "2105.10883": "|[byzantine-resilient federated machine learning via over-the-air computation](https://arxiv.org/abs/2105.10883)|[Byzantine_AirComp](https://github.com/goldenBill/Byzantine_AirComp)|\n"}, "2021-05-24": {"2105.10398": "|[semi-supervised learning for identifying the likelihood of agitation in people with dementia](https://arxiv.org/abs/2105.10398)|[Agitation_detection](https://github.com/RoonakR/Agitation_detection)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-05-23": {}, "2021-05-26": {"2011.12121": "|[self-supervised transfer learning of physiological representations from free-living wearable data](https://arxiv.org/abs/2011.12121)|[Step2heart](https://github.com/sdimi/Step2heart)|\n", "1810.10625": "|[robust adversarial learning via sparsifying front ends](https://arxiv.org/abs/1810.10625)|[sparsity-based-defenses](https://github.com/soorya19/sparsity-based-defenses)|\n", "2105.11580": "|[npd entropy: a non-parametric differential entropy rate estimator](https://arxiv.org/abs/2105.11580)|[npd_entropy](https://github.com/afeutrill/npd_entropy)|\n", "2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the entropy of classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n"}, "2021-05-22": {}, "2021-05-21": {"2102.03814": "|[min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification](https://arxiv.org/abs/2102.03814)|[MIN2Net](https://github.com/IoBT-VISTEC/MIN2Net)|\n", "2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n"}, "2021-05-27": {"2011.07782": "|[learning to continuously optimize wireless resource in episodically dynamic environment](https://arxiv.org/abs/2011.07782)|[ICASSP2021](https://github.com/Haoran-S/ICASSP2021)|\n", "2102.05793": "|[lenient regret and good-action identification in gaussian process bandits](https://arxiv.org/abs/2102.05793)|[GoodAction](https://github.com/caitree/GoodAction)|\n"}, "2021-05-28": {"1910.14322": "|[multi-resolution csi feedback with deep learning in massive mimo system](https://arxiv.org/abs/1910.14322)|[CRNet](https://github.com/Kylin9511/CRNet)|\n", "2007.00038": "|[unsupervised deep learning for massive mimo hybrid beamforming](https://arxiv.org/abs/2007.00038)|[HBF-Net](https://github.com/HamedHojatian/HBF-Net)|\n", "2105.12916": "|[robust learning from corrupted eeg with dynamic spatial filtering](https://arxiv.org/abs/2105.12916)|[dynamic-spatial-filtering](https://github.com/hubertjb/dynamic-spatial-filtering)|\n"}, "2021-05-29": {}, "2021-05-30": {}, "2021-05-31": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.13864": "|[salientsleepnet: multimodal salient wave detection network for sleep staging](https://arxiv.org/abs/2105.13864)|[SalientSleepNet](https://github.com/ziyujia/SalientSleepNet)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2021-06-01": {"1910.09857": "|[an efficient and effective second-order training algorithm for lstm-based adaptive learning](https://arxiv.org/abs/1910.09857)|[EfficientEffectiveLSTM](https://github.com/nurimertvural/EfficientEffectiveLSTM)|\n", "2008.03612": "|[block deep neural network-based signal detector for generalized spatial modulation](https://arxiv.org/abs/2008.03612)|[B_DNN](https://github.com/hasanabs/B_DNN)|\n", "2011.00619": "|[support recovery for sparse multidimensional phase retrieval](https://arxiv.org/abs/2011.00619)|[Sparse-Multidimensional-PR](https://github.com/sew347/Sparse-Multidimensional-PR)|\n", "2011.14387": "|[overcoming measurement inconsistency in deep learning for linear inverse problems: applications in medical imaging](https://arxiv.org/abs/2011.14387)|[mri-tvtv](https://github.com/marijavella/mri-tvtv)|\n", "2012.09778": "|[interval propagation through the discrete fourier transform](https://arxiv.org/abs/2012.09778)|[Fourier-transform](https://github.com/marcodeangelis/Fourier-transform)|\n", "2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2101.12370": "|[an automated theorem proving framework for information-theoretic results](https://arxiv.org/abs/2101.12370)|[psitip](https://github.com/cheuktingli/psitip)|\n"}, "2021-06-02": {"2011.10282": "|[reconfigurable intelligent surface enabled federated learning: a unified communication-learning design approach](https://arxiv.org/abs/2011.10282)|[RIS-FL](https://github.com/liuhang1994/RIS-FL)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2106.00606": "|[dynamic-deep: ecg task-aware compression](https://arxiv.org/abs/2106.00606)|[Dynamic-Deep](https://github.com/eladwass/Dynamic-Deep)|\n", "2106.00613": "|[a compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel eeg](https://arxiv.org/abs/2106.00613)|[A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG](https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG)|\n", "2106.00615": "|[meta-har: federated representation learning for human activity recognition](https://arxiv.org/abs/2106.00615)|[Meta-HAR](https://github.com/Chain123/Meta-HAR)|\n"}, "2021-06-03": {"2104.01504": "|[adaptive self-interference cancellation for full-duplex wireless communication systems](https://arxiv.org/abs/2104.01504)|[Full-Duplex-Steepest-Descent](https://github.com/ebalti/Full-Duplex-Steepest-Descent)|\n", "2106.00941": "|[self-training sampling with monolingual data uncertainty for neural machine translation](https://arxiv.org/abs/2106.00941)|[UncSamp](https://github.com/wxjiao/UncSamp)|\n"}, "2021-06-04": {"2006.11435": "|[channel estimation for one-bit multiuser massive mimo using conditional gan](https://arxiv.org/abs/2006.11435)|[Channel_Estimation_cGAN](https://github.com/YudiDong/Channel_Estimation_cGAN)|\n", "2010.15120": "|[gender bias in depression detection using audio features](https://arxiv.org/abs/2010.15120)|[DepAudioNet_reproduction](https://github.com/adbailey1/DepAudioNet_reproduction)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/dahong/heteroscedastic-probabilistic-pca)|\n", "2103.04722": "|[sparse kronecker-product coding for unsourced multiple access](https://arxiv.org/abs/2103.04722)|[SKPC-UMA](https://github.com/Zeyu-Han01/SKPC-UMA)|\n", "2010.12461": "|[multi-uav path planning for wireless data harvesting with deep reinforcement learning](https://arxiv.org/abs/2010.12461)|[uav_data_harvesting](https://github.com/hbayerlein/uav_data_harvesting)|\n"}, "2021-06-05": {}, "2021-06-06": {}, "2021-06-07": {"2106.02352": "|[cold: concurrent loads disaggregator for non-intrusive load monitoring](https://arxiv.org/abs/2106.02352)|[cold-nilm](https://github.com/arx7ti/cold-nilm)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2106.02146": "|[the signed cumulative distribution transform for 1-d signal analysis and classification](https://arxiv.org/abs/2106.02146)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n"}, "2021-06-08": {"2006.13019": "|[optimal network slicing for service-oriented networks with flexible routing and guaranteed e2e latency](https://arxiv.org/abs/2006.13019)|[networkslicing](https://github.com/chenweikun/networkslicing)|\n", "2106.00639": "|[multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms](https://arxiv.org/abs/2106.00639)|[MuDiCov](https://github.com/iiscleap/MuDiCov)|\n", "2106.03497": "|[configuring an intelligent reflecting surface for wireless communications](https://arxiv.org/abs/2106.03497)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[BDforUavPath](https://github.com/Yuanliaoo/BDforUavPath)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-09": {"2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2106.04043": "|[dilated convolution based csi feedback compression for massive mimo systems](https://arxiv.org/abs/2106.04043)|[DCRNet](https://github.com/recusant7/DCRNet)|\n", "2012.14350": "|[deepbeam: deep waveform learning for coordination-free beam management in mmwave networks](https://arxiv.org/abs/2012.14350)|[deepbeam](https://github.com/wineslab/deepbeam)|\n", "2106.02796": "|[principal bit analysis: autoencoding with schur-concave loss](https://arxiv.org/abs/2106.02796)|[PBA](https://github.com/SourbhBh/PBA)|\n", "2106.04443": "|[robust generalization despite distribution shift via minimum discriminating information](https://arxiv.org/abs/2106.04443)|[PMDI_DRO](https://github.com/pmdidro/PMDI_DRO)|\n"}, "2021-06-10": {"2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2106.04280": "|[optimizing a binary intelligent reflecting surface for ofdm communications under mutual coupling](https://arxiv.org/abs/2106.04280)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.05148": "|[time-frequency phase retrieval for audio -- the effect of transform parameters](https://arxiv.org/abs/2106.05148)|[phaseRetrievalEvaluation](https://github.com/andimarafioti/phaseRetrievalEvaluation)|\n", "1905.09944": "|[unsupervised discovery of temporal structure in noisy data with dynamical components analysis](https://arxiv.org/abs/1905.09944)|[DynamicalComponentsAnalysis](https://github.com/BouchardLab/DynamicalComponentsAnalysis)|\n"}, "2021-06-11": {"2106.05377": "|[generating mimo channels for 6g virtual worlds using ray-tracing simulations](https://arxiv.org/abs/2106.05377)|[SSP-Raymobtime](https://github.com/lasseufpa/SSP-Raymobtime)|\n", "2106.05380": "|[aerial reconfigurable intelligent surface-aided wireless communication systems](https://arxiv.org/abs/2106.05380)|[Aerial-RIS](https://github.com/trinhudo/Aerial-RIS)|\n"}, "2021-06-12": {}, "2021-06-13": {}, "2021-06-14": {"2102.13416": "|[moreau-yosida $f$-divergences](https://arxiv.org/abs/2102.13416)|[moreau-yosida-f-divergences](https://github.com/renyi-ai/moreau-yosida-f-divergences)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-06-15": {"2106.07006": "|[towards fast region adaptive ultrasound beamformer for plane wave imaging using convolutional neural networks](https://arxiv.org/abs/2106.07006)|[cnnusbf](https://github.com/rpm1412/cnnusbf)|\n", "2106.07016": "|[wase: learning when to attend for speaker extraction in cocktail party environments](https://arxiv.org/abs/2106.07016)|[wase](https://github.com/aispeech-lab/wase)|\n", "2106.07066": "|[enhanced hyperspectral image super-resolution via rgb fusion and tv-tv minimization](https://arxiv.org/abs/2106.07066)|[hs-sr-tvtv](https://github.com/marijavella/hs-sr-tvtv)|\n", "2012.07983": "|[on continuous local bdd-based search for hybrid sat solving](https://arxiv.org/abs/2012.07983)|[GradSAT](https://github.com/vardigroup/GradSAT)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-16": {"2004.11468": "|[how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series](https://arxiv.org/abs/2004.11468)|[uniqed](https://github.com/phrenico/uniqed)|\n", "2005.08898": "|[accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent](https://arxiv.org/abs/2005.08898)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2104.02469": "|[speaker diarization using two-pass leave-one-out gaussian plda clustering of dnn embeddings](https://arxiv.org/abs/2104.02469)|[VBx](https://github.com/hltcoe/VBx)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2106.07939": "|[attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes](https://arxiv.org/abs/2106.07939)|[disco](https://github.com/nfurnon/disco)|\n", "2102.11086": "|[improving lossless compression rates via monte carlo bits-back coding](https://arxiv.org/abs/2102.11086)|[mcbits](https://github.com/ryoungj/mcbits)|\n", "2102.12675": "|[computing accurate probabilistic estimates of one-d entropy from equiprobable random samples](https://arxiv.org/abs/2102.12675)|[Entropy](https://github.com/rehsani/Entropy)|\n", "2106.07964": "|[improving the list decoding version of the cyclically equivariant neural decoder](https://arxiv.org/abs/2106.07964)|[code](https://github.com/improvedlistdecoder/code)|\n"}, "2021-06-17": {"2106.07785": "|[multivariate public key cryptosystem from sidon spaces](https://arxiv.org/abs/2106.07785)|[Sidon-Cryptosystem](https://github.com/b-langton/Sidon-Cryptosystem)|\n"}, "2021-06-18": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.00528": "|[a 1d-cnn based deep learning technique for sleep apnea detection in iot sensors](https://arxiv.org/abs/2105.00528)|[CNN_sleep_apnea](https://github.com/arlenejohn/CNN_sleep_apnea)|\n", "2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[PartiallyObservedVectorAutoRegressions](https://github.com/gdalle/PartiallyObservedVectorAutoRegressions)|\n", "2106.09594": "|[a factor graph em algorithm for inference of kinetic microstates from patch clamp measurements](https://arxiv.org/abs/2106.09594)|[PatchClampFactorGraphEM](https://github.com/andreweckford/PatchClampFactorGraphEM)|\n"}, "2021-06-19": {}, "2021-06-20": {}, "2021-06-21": {"2101.02452": "|[robustsleepnet: transfer learning for automated sleep staging at scale](https://arxiv.org/abs/2101.02452)|[RobustSleepNet](https://github.com/Dreem-Organization/RobustSleepNet)|\n", "2106.10108": "|[under the sand: navigation and localization of a small unmanned aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2010.07904": "|[probabilistic sequential shrinking: a best arm identification algorithm for stochastic bandits with corruptions](https://arxiv.org/abs/2010.07904)|[2021-ICML](https://github.com/zixinzh/2021-ICML)|\n"}, "2021-06-22": {"1912.05507": "|[automated pipeline for eeg artifact reduction (appear) recorded during fmri](https://arxiv.org/abs/1912.05507)|[appear](https://github.com/obada-alzoubi/appear)|\n", "2006.10159": "|[automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors](https://arxiv.org/abs/2006.10159)|[qkeras](https://github.com/google/qkeras)|\n", "2006.16671": "|[real elliptically skewed distributions and their application to robust cluster analysis](https://arxiv.org/abs/2006.16671)|[Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Distributions)|\n", "2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n"}, "2021-06-23": {"2103.09171": "|[interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones](https://arxiv.org/abs/2103.09171)|[DBA](https://github.com/fpetitjean/DBA)|\n", "2104.01293": "|[extraction of instantaneous frequencies and amplitudes in nonstationary time-series data](https://arxiv.org/abs/2104.01293)|[NFMD-ExtractionInstantaneous](https://github.com/sheadan/NFMD-ExtractionInstantaneous)|\n", "2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2106.10711": "|[transfer bayesian meta-learning via weighted free energy minimization](https://arxiv.org/abs/2106.10711)|[meta_learning_pacoh](https://github.com/jonasrothfuss/meta_learning_pacoh)|\n", "2106.11170": "|[transformer-based spatial-temporal feature learning for eeg decoding](https://arxiv.org/abs/2106.11170)|[EEG-Transformer](https://github.com/anranknight/EEG-Transformer)|\n", "2106.11595": "|[reinforcement learning for phy layer communications](https://arxiv.org/abs/2106.11595)|[malin-multi-armed-bandit-learning-for-iot-networks-with-grc](https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc)|\n", "2002.12873": "|[federated over-air subspace tracking from incomplete and corrupted data](https://arxiv.org/abs/2002.12873)|[distributed-pca](https://github.com/praneethmurthy/distributed-pca)|\n", "2106.11438": "|[instance-optimal compressed sensing via posterior sampling](https://arxiv.org/abs/2106.11438)|[code-cs-fairness](https://github.com/ajiljalal/code-cs-fairness)|\n", "2106.11723": "|[deep stereo image compression with decoder side information using wyner common information](https://arxiv.org/abs/2106.11723)|[DWSIC](https://github.com/ipc-lab/DWSIC)|\n"}, "2021-06-24": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2006.09461": "|[robust compressed sensing using generative models](https://arxiv.org/abs/2006.09461)|[csgm-robust-neurips](https://github.com/ajiljalal/csgm-robust-neurips)|\n"}, "2021-06-25": {"1912.01171": "|[universal adversarial perturbations for cnn classifiers in eeg-based bcis](https://arxiv.org/abs/1912.01171)|[UAP_EEG](https://github.com/ZihanLiu95/UAP_EEG)|\n", "2010.11991": "|[atlas fusion -- modern framework for autonomous agent sensor data fusion](https://arxiv.org/abs/2010.11991)|[Atlas-Fusion](https://github.com/Robotics-BUT/Atlas-Fusion)|\n", "2106.12728": "|[atp-net: an attention-based ternary projection network for compressed sensing](https://arxiv.org/abs/2106.12728)|[ATP-Net](https://github.com/MasonNie/ATP-Net)|\n", "2106.13083": "|[a declarative goal-oriented framework for smart environments with lpaas](https://arxiv.org/abs/2106.13083)|[Solomon](https://github.com/di-unipi-socc/Solomon)|\n", "2002.07844": "|[capacity-achieving spatially coupled sparse superposition codes with amp decoding](https://arxiv.org/abs/2002.07844)|[sparc_public](https://github.com/kuanhsieh/sparc_public)|\n"}, "2021-06-26": {}, "2021-06-27": {}, "2021-06-28": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2102.12525": "|[prior image-constrained reconstruction using style-based generative models](https://arxiv.org/abs/2102.12525)|[pic-recon](https://github.com/comp-imaging-sci/pic-recon)|\n", "2106.13358": "|[scalable perception-action-communication loops with convolutional and graph neural networks](https://arxiv.org/abs/2106.13358)|[VGAI](https://github.com/VITA-Group/VGAI)|\n", "2003.12006": "|[linearly self-equivalent apn permutations in small dimension](https://arxiv.org/abs/2003.12006)|[self_equivalent_apn](https://github.com/cbe90/self_equivalent_apn)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n", "2104.07006": "|[fast quantum state reconstruction via accelerated non-convex programming](https://arxiv.org/abs/2104.07006)|[MiFGD](https://github.com/gidiko/MiFGD)|\n"}, "2021-06-29": {"2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "1711.05519": "|[accelerated alternating projections for robust principal component analysis](https://arxiv.org/abs/1711.05519)|[AccAltProj_for_RPCA](https://github.com/caesarcai/AccAltProj_for_RPCA)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n", "2106.14866": "|[learning from an exploring demonstrator: optimal reward estimation for bandits](https://arxiv.org/abs/2106.14866)|[inverse-bandit-code-release](https://github.com/wenshuoguo/inverse-bandit-code-release)|\n"}, "2021-06-30": {}, "2021-07-01": {}, "2021-07-02": {"1912.05507": "|[automated pipeline for eeg artifact reduction (appear) recorded during fmri](https://arxiv.org/abs/1912.05507)|[appear](https://github.com/obada-alzoubi/appear)|\n", "2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2104.07388": "|[conditional independence for pretext task selection in self-supervised speech representation learning](https://arxiv.org/abs/2104.07388)|[Pseudo-Label-Selection](https://github.com/salah-zaiem/Pseudo-Label-Selection)|\n", "2106.11595": "|[reinforcement learning for physical layer communications](https://arxiv.org/abs/2106.11595)|[malin-multi-armed-bandit-learning-for-iot-networks-with-grc](https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc)|\n"}, "2021-07-03": {}, "2021-07-04": {}, "2021-07-05": {"2006.16671": "|[real elliptically skewed distributions and their application to robust cluster analysis](https://arxiv.org/abs/2006.16671)|[Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Distributions)|\n", "2103.11199": "|[joint analog beam selection and digital beamforming in millimeter wave cell-free massive mimo systems](https://arxiv.org/abs/2103.11199)|[JointDesigninmmWaveCellFreeNetworks](https://github.com/DrCMY/JointDesigninmmWaveCellFreeNetworks)|\n", "2107.00693": "|[inter-beat interval estimation with tiramisu model: a novel approach with reduced error](https://arxiv.org/abs/2107.00693)|[IBI_Tiramisu](https://github.com/Arefeen06088/IBI_Tiramisu)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2107.01152": "|[simpler, faster, stronger: breaking the log-k curse on contrastive learners with flatnce](https://arxiv.org/abs/2107.01152)|[FlatCLR](https://github.com/Junya-Chen/FlatCLR)|\n"}, "2021-07-06": {"2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2107.02027": "|[packing: towards 2x nlp bert acceleration](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n"}, "2021-07-07": {"2012.04358": "|[discrete signal processing on meet/join lattices](https://arxiv.org/abs/2012.04358)|[lattice-signal-processing](https://github.com/bseifert-HSA/lattice-signal-processing)|\n", "2102.05150": "|[rodnet: a real-time radar object detection network cross-supervised by camera-radar fused object 3d localization](https://arxiv.org/abs/2102.05150)|[RODNet](https://github.com/yizhou-wang/RODNet)|\n", "2107.02389": "|[learning semantic segmentation of large-scale point clouds with random sampling](https://arxiv.org/abs/2107.02389)|[RandLA-Net](https://github.com/QingyongHu/RandLA-Net)|\n", "2104.09460": "|[bayesian algorithm execution: estimating computable properties of black-box functions using mutual information](https://arxiv.org/abs/2104.09460)|[bayesian-algorithm-execution](https://github.com/willieneis/bayesian-algorithm-execution)|\n"}, "2021-07-08": {"2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2021-07-09": {"2101.03792": "|[diagnosis of intelligent reflecting surface in millimeter-wave communication systems](https://arxiv.org/abs/2101.03792)|[IRSdiagnosis](https://github.com/DestinationSR/IRSdiagnosis)|\n", "2107.03432": "|[iowarain: a statewide rain event dataset based on weather radars and quantitative precipitation estimation](https://arxiv.org/abs/2107.03432)|[IowaRain](https://github.com/uihilab/IowaRain)|\n"}, "2021-07-10": {}, "2021-07-11": {}, "2021-07-12": {"2006.04937": "|[interpretable classification of bacterial raman spectra with knockoff wavelets](https://arxiv.org/abs/2006.04937)|[raman-knockoffs](https://github.com/chicanagram/raman-knockoffs)|\n", "2107.04174": "|[easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments](https://arxiv.org/abs/2107.04174)|[EasyComDataset](https://github.com/facebookresearch/EasyComDataset)|\n", "2107.04395": "|[block alternating bregman majorization minimization with extrapolation](https://arxiv.org/abs/2107.04395)|[BMME](https://github.com/LeThiKhanhHien/BMME)|\n", "1906.12072": "|[multiple testing and variable selection along least angle regression's path](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n"}, "2021-07-13": {"2107.04973": "|[a deep-bayesian framework for adaptive speech duration modification](https://arxiv.org/abs/2107.04973)|[pytorch-speech-transformer](https://github.com/ravi-0841/pytorch-speech-transformer)|\n", "2107.05050": "|[neural waveshaping synthesis](https://arxiv.org/abs/2107.05050)|[neural-waveshaping-synthesis](https://github.com/ben-hayes/neural-waveshaping-synthesis)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2102.02541": "|[on fading channel dependency structures with a positive zero-outage capacity](https://arxiv.org/abs/2102.02541)|[zero-outage-joint-distributions](https://gitlab.com/klb2/zero-outage-joint-distributions)|\n"}, "2021-07-14": {"2107.06242": "|[low rate protograph-based ldpc codes for continuous variable quantum key distribution](https://arxiv.org/abs/2107.06242)|[Protograph_Optimization](https://github.com/kadirgumus/Protograph_Optimization)|\n"}, "2021-07-15": {"2107.06678": "|[optimal power allocation in downlink noma](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2107.06440": "|[trellis bma: coded trace reconstruction on ids channels for dna storage](https://arxiv.org/abs/2107.06440)|[clustered-nanopore-reads-dataset](https://github.com/microsoft/clustered-nanopore-reads-dataset)|\n"}, "2021-07-16": {"2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/kentgens/visualization-of-sh-domain-operations)|\n", "2107.07250": "|[a low-complexity radar detector outperforming os-cfar for indoor drone obstacle avoidance](https://arxiv.org/abs/2107.07250)|[RadarDetector](https://github.com/ali20480/RadarDetector)|\n"}, "2021-07-17": {}, "2021-07-18": {}, "2021-07-19": {"2007.00322": "|[kernel learning for high-resolution time-frequency distribution](https://arxiv.org/abs/2007.00322)|[KL-TFD](https://github.com/teki97/KL-TFD)|\n", "2107.07596": "|[depth estimation from monocular images and sparse radar using deep ordinal regression network](https://arxiv.org/abs/2107.07596)|[DORN_radar](https://github.com/lochenchou/DORN_radar)|\n", "2009.12789": "|[learning optimal representations with the decodable information bottleneck](https://arxiv.org/abs/2009.12789)|[Mini_Decodable_Information_Bottleneck](https://github.com/YannDubs/Mini_Decodable_Information_Bottleneck)|\n", "2102.07402": "|[information flows of diverse autoencoders](https://arxiv.org/abs/2102.07402)|[IPRL](https://github.com/Sungyeop/IPRL)|\n"}, "2021-07-20": {}, "2021-07-21": {"2008.09524": "|[change point detection in time series data using autoencoders with a time-invariant representation](https://arxiv.org/abs/2008.09524)|[TIRE](https://github.com/deryckt/TIRE)|\n", "2010.13677": "|[deep low-rank plus sparse network for dynamic mr imaging](https://arxiv.org/abs/2010.13677)|[LS-Net-Dynamic-MRI](https://github.com/wenqihuang/LS-Net-Dynamic-MRI)|\n", "2101.05206": "|[deep learning assisted calibrated beam training for millimeter-wave communication systems](https://arxiv.org/abs/2101.05206)|[DL-assisted-calibrated-beam-training](https://github.com/KeMa1998/DL-assisted-calibrated-beam-training)|\n", "2102.00196": "|[directional sparse filtering using weighted lehmer mean for blind separation of unbalanced speech mixtures](https://arxiv.org/abs/2102.00196)|[directional-sparse-filtering-tf](https://github.com/karnwatcharasupat/directional-sparse-filtering-tf)|\n", "2103.12177": "|[energy disaggregation using variational autoencoders](https://arxiv.org/abs/2103.12177)|[VAE-NILM](https://github.com/ETSSmartRes/VAE-NILM)|\n", "2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2104.12922": "|[one billion audio sounds from gpu-enabled modular synthesis](https://arxiv.org/abs/2104.12922)|[torchsynth](https://github.com/torchsynth/torchsynth)|\n", "2107.09202": "|[compressing multisets with large alphabets](https://arxiv.org/abs/2107.09202)|[multiset-compression](https://github.com/facebookresearch/multiset-compression)|\n"}, "2021-07-22": {"2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2107.09716": "|[regularized classification-aware quantization](https://arxiv.org/abs/2107.09716)|[rcaq](https://github.com/dsevero/rcaq)|\n", "2107.09869": "|[ecg heartbeat classification using multimodal fusion](https://arxiv.org/abs/2107.09869)|[ECG-Heartbeat-Classification-Using-Multimodal-Fusion](https://github.com/zaamad/ECG-Heartbeat-Classification-Using-Multimodal-Fusion)|\n"}, "2021-07-23": {"2004.08962": "|[high-dimensional fast convolutional framework (hicu) for calibrationless mri](https://arxiv.org/abs/2004.08962)|[HICU](https://github.com/OSU-CMR/HICU)|\n", "2102.07896": "|[a multispeaker dataset of raw and reconstructed speech production real-time mri video and 3d volumetric images](https://arxiv.org/abs/2102.07896)|[usc_speech_mri](https://github.com/usc-mrel/usc_speech_mri)|\n", "2107.10790": "|[interpretable sincnet-based deep learning for emotion recognition from eeg brain activity](https://arxiv.org/abs/2107.10790)|[SincNet-for-Autism-EEG-based-Emotion-Recognition](https://github.com/meiyor/SincNet-for-Autism-EEG-based-Emotion-Recognition)|\n"}, "2021-07-24": {}, "2021-07-25": {}, "2021-07-26": {}, "2021-07-27": {"2004.02494": "|[adaptive social learning](https://arxiv.org/abs/2004.02494)|[asl-it-2021](https://github.com/asl-epfl/asl-it-2021)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2102.02802": "|[federated mmwave beam selection utilizing lidar data](https://arxiv.org/abs/2102.02802)|[ITU_Beam_Selection_TF](https://github.com/galidor/ITU_Beam_Selection_TF)|\n", "2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://gitlab.com/klb2/ris-phase-hopping)|\n", "2102.12586": "|[fermi: fair empirical risk minimization via exponential r\\'enyi mutual information](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2021-07-28": {"2001.07620": "|[edgenets:edge varying graph neural networks](https://arxiv.org/abs/2001.07620)|[graph-neural-networks](https://github.com/alelab-upenn/graph-neural-networks)|\n", "2107.05050": "|[neural waveshaping synthesis](https://arxiv.org/abs/2107.05050)|[neural-waveshaping-synthesis](https://github.com/ben-hayes/neural-waveshaping-synthesis)|\n", "2102.07402": "|[information flows of diverse autoencoders](https://arxiv.org/abs/2102.07402)|[IPRL](https://github.com/Sungyeop/IPRL)|\n", "2103.02928": "|[straggler mitigation through unequal error protection for distributed approximate matrix multiplication](https://arxiv.org/abs/2103.02928)|[UEP-Straggler-Mitigation](https://github.com/HernandezEduin/UEP-Straggler-Mitigation)|\n"}, "2021-07-29": {"2009.11662": "|[eegdenoisenet: a benchmark dataset for end-to-end deep learning solutions of eeg denoising](https://arxiv.org/abs/2009.11662)|[Single-Channel-EEG-Denoise](https://github.com/ncclabsustech/Single-Channel-EEG-Denoise)|\n", "2107.13412": "|[on optimal quantization in sequential detection](https://arxiv.org/abs/2107.13412)|[QSPRT](https://github.com/mifauss/QSPRT)|\n"}, "2021-07-30": {}, "2021-07-31": {}, "2021-08-01": {}, "2021-08-02": {"2107.14398": "|[on the interpretation of linear riemannian tangent space model parameters in m/eeg](https://arxiv.org/abs/2107.14398)|[interpret_lin_rts_mdls](https://github.com/rkobler/interpret_lin_rts_mdls)|\n"}, "2021-08-03": {"2009.01423": "|[deep residual learning for channel estimation in intelligent reflecting surface-assisted multi-user communications](https://arxiv.org/abs/2009.01423)|[CDRN-channel-estimation-IRS](https://github.com/XML124/CDRN-channel-estimation-IRS)|\n", "2011.03414": "|[robust enf estimation based on harmonic enhancement and maximum weight clique](https://arxiv.org/abs/2011.03414)|[ENF-WHU-Dataset](https://github.com/ghuawhu/ENF-WHU-Dataset)|\n", "2104.07963": "|[opencsi: an open-source dataset for indoor localization using csi-based fingerprinting](https://arxiv.org/abs/2104.07963)|[thymio-radio-map](https://github.com/arthurgassner/thymio-radio-map)|\n", "2108.00506": "|[a scalable federated multi-agent architecture for networked connected communication network](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2108.00640": "|[few-shot calibration of low-cost air pollution (pm2.5) sensors using meta-learning](https://arxiv.org/abs/2108.00640)|[2021KalpitBTMT](https://github.com/madhavlab/2021KalpitBTMT)|\n"}, "2021-08-04": {"2004.05768": "|[sequential weakly labeled multi-activity localization and recognition on wearable sensors using recurrent attention networks](https://arxiv.org/abs/2004.05768)|[RAN](https://github.com/KennCoder7/RAN)|\n", "2108.01643": "|[progressive transmission using recurrent neural networks](https://arxiv.org/abs/2108.01643)|[Progressive_transmission](https://github.com/safarisadegh/Progressive_transmission)|\n", "2108.01368": "|[robust compressed sensing mri with deep generative priors](https://arxiv.org/abs/2108.01368)|[csgm-mri-langevin](https://github.com/utcsilab/csgm-mri-langevin)|\n"}, "2021-08-05": {"2108.02039": "|[random convolution kernels with multi-scale decomposition for preterm eeg inter-burst detection](https://arxiv.org/abs/2108.02039)|[ms_rocket](https://github.com/otoolej/ms_rocket)|\n"}, "2021-08-06": {"2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2108.02541": "|[foundations of user-centric cell-free massive mimo](https://arxiv.org/abs/2108.02541)|[cell-free-book](https://github.com/emilbjornson/cell-free-book)|\n"}, "2021-08-07": {}, "2021-08-08": {}, "2021-08-09": {"2103.13853": "|[searching for waveforms on spatially-filtered epileptic ecog](https://arxiv.org/abs/2103.13853)|[cspwave](https://github.com/chmendoza/cspwave)|\n"}, "2021-08-10": {"2104.06307": "|[detecting false data injection attacks in smart grids with modeling errors: a deep transfer learning based approach](https://arxiv.org/abs/2104.06307)|[DTL-FDIA-TSG](https://github.com/599143868/DTL-FDIA-TSG)|\n", "2108.03569": "|[deep single shot musical instrument identification using scalograms](https://arxiv.org/abs/2108.03569)|[deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features](https://github.com/dibakar1/deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features)|\n", "2108.03576": "|[beatnet: crnn and particle filtering for online joint beat downbeat and meter tracking](https://arxiv.org/abs/2108.03576)|[beatnet](https://github.com/mjhydri/beatnet)|\n"}, "2021-08-11": {"2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2108.04577": "|[an open framework for analyzing and modeling xr network traffic](https://arxiv.org/abs/2108.04577)|[ns-3-vr-app](https://github.com/signetlabdei/ns-3-vr-app)|\n", "2108.04436": "|[a generalizable model-and-data driven approach for open-set rff authentication](https://arxiv.org/abs/2108.04436)|[ns-rff](https://github.com/xrj-com/ns-rff)|\n"}, "2021-08-12": {"2108.05000": "|[statistical inference in the differential privacy model](https://arxiv.org/abs/2108.05000)|[INSPECTRE](https://github.com/HuanyuZhang/INSPECTRE)|\n"}, "2021-08-13": {"2012.12351": "|[is the brain macroscopically linear? a system identification of resting state dynamics](https://arxiv.org/abs/2012.12351)|[rest-system-id](https://github.com/enozari/rest-system-id)|\n"}, "2021-08-14": {}, "2021-08-15": {}, "2021-08-16": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n"}, "2021-08-17": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2010.15979": "|[a greedy algorithm for quantizing neural networks](https://arxiv.org/abs/2010.15979)|[quantized_neural_networks](https://github.com/elybrand/quantized_neural_networks)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n"}, "2021-08-18": {"2005.05964": "|[deep completion autoencoders for radio map estimation](https://arxiv.org/abs/2005.05964)|[deep-autoencoders-cartography](https://github.com/yvestegnya2/deep-autoencoders-cartography)|\n", "2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2106.07006": "|[towards fast region adaptive ultrasound beamformer for plane wave imaging using convolutional neural networks](https://arxiv.org/abs/2106.07006)|[cnnusbf](https://github.com/rpm1412/cnnusbf)|\n", "2108.01643": "|[progressive transmission using recurrent neural networks](https://arxiv.org/abs/2108.01643)|[Progressive_transmission](https://github.com/safarisadegh/Progressive_transmission)|\n", "2108.06943": "|[language-independent approach for automatic computation of vowel articulation features in dysarthric speech assessment](https://arxiv.org/abs/2108.06943)|[autovai](https://github.com/speechcog/autovai)|\n", "2108.07377": "|[precision and accuracy of acoustic gunshot location in an urban environment](https://arxiv.org/abs/2108.07377)|[research.accuracy-of-gunshot-location](https://github.com/shotspotter/research.accuracy-of-gunshot-location)|\n", "2108.07567": "|[how powerful is graph convolution for recommendation?](https://arxiv.org/abs/2108.07567)|[GF_CF](https://github.com/yshenaw/GF_CF)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n"}, "2021-08-19": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2010.15120": "|[gender bias in depression detection using audio features](https://arxiv.org/abs/2010.15120)|[DepAudioNet_reproduction](https://github.com/adbailey1/DepAudioNet_reproduction)|\n", "2108.07908": "|[m-ar-k-fast independent component analysis](https://arxiv.org/abs/2108.07908)|[_fastica.py](https://github.com/luca-parisi/m-arcsinh_scikit-learn_TensorFlow_Keras/blob/master/_fastica.py)|\n"}, "2021-08-20": {"2108.08470": "|[chmusic: a traditional chinese music dataset for evaluation of instrument recognition](https://arxiv.org/abs/2108.08470)|[chmusic](https://github.com/haoranweiutd/chmusic)|\n", "1803.06987": "|[synthesis of logical clifford operators via symplectic geometry](https://arxiv.org/abs/1803.06987)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "1904.07842": "|[kerdock codes determine unitary 2-designs](https://arxiv.org/abs/1904.07842)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "1907.00310": "|[logical clifford synthesis for stabilizer codes](https://arxiv.org/abs/1907.00310)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "2003.04356": "|[belief propagation with quantum messages for quantum-enhanced classical communications](https://arxiv.org/abs/2003.04356)|[bpqm](https://github.com/nrenga/bpqm)|\n"}, "2021-08-21": {"2108.05000": "|[statistical inference in the differential privacy model](https://arxiv.org/abs/2108.05000)|[INSPECTRE](https://github.com/HuanyuZhang/INSPECTRE)|\n"}, "2021-08-22": {}, "2021-08-23": {}, "2021-08-24": {"2011.08783": "|[a spiking neural network (snn) for detecting high frequency oscillations (hfos) in the intraoperative ecog](https://arxiv.org/abs/2011.08783)|[SNN_HFO_ECoG](https://github.com/kburel/SNN_HFO_ECoG)|\n", "2108.10213": "|[salience: an unsupervised user adaptation model for multiple wearable sensors based human activity recognition](https://arxiv.org/abs/2108.10213)|[SALIENCE](https://github.com/wdkhuans/SALIENCE)|\n", "2108.10284": "|[exclusive group lasso for structured variable selection](https://arxiv.org/abs/2108.10284)|[exclusive-lasso](https://github.com/gregdvd/exclusive-lasso)|\n", "2012.00089": "|[iterative error decimation for syndrome-based neural network decoders](https://arxiv.org/abs/2012.00089)|[ied](https://github.com/kamassury/ied)|\n", "2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n"}, "2021-08-25": {"2103.14756": "|[equivariant imaging: learning beyond the range space](https://arxiv.org/abs/2103.14756)|[EI](https://github.com/edongdongchen/EI)|\n", "2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n"}, "2021-08-26": {"2007.14900": "|[bayesian context trees: modelling and exact inference for discrete time series](https://arxiv.org/abs/2007.14900)|[Bayesian-Suffix-Trees](https://github.com/IoannisPapageorgiou/Bayesian-Suffix-Trees)|\n"}, "2021-08-27": {}, "2021-08-28": {}, "2021-08-29": {}, "2021-08-30": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n"}, "2021-08-31": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2108.12460": "|[high fidelity deep learning-based mri reconstruction with instance-wise discriminative feature matching loss](https://arxiv.org/abs/2108.12460)|[ufloss](https://github.com/mikgroup/ufloss)|\n", "2012.00089": "|[iterative error decimation for syndrome-based neural network decoders](https://arxiv.org/abs/2012.00089)|[ied](https://github.com/kamassury/ied)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n", "2108.12920": "|[ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning](https://arxiv.org/abs/2108.12920)|[kocodes](https://github.com/deepcomm/kocodes)|\n"}, "2021-09-01": {"2011.00619": "|[support recovery for sparse multidimensional phase retrieval](https://arxiv.org/abs/2011.00619)|[multi-dimensional-turnpike](https://github.com/sew347/multi-dimensional-turnpike)|\n", "2103.01551": "|[signal recovery from a few linear measurements of its high-order spectra](https://arxiv.org/abs/2103.01551)|[recovery-high-order-spectra](https://github.com/krshay/recovery-high-order-spectra)|\n", "2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2108.13503": "|[oversampling highly imbalanced indoor positioning data using deep generative models](https://arxiv.org/abs/2108.13503)|[oversampling_ble_fingerprints](https://github.com/alhomayani/oversampling_ble_fingerprints)|\n"}, "2021-09-02": {}, "2021-09-03": {}, "2021-09-04": {}, "2021-09-05": {}, "2021-09-06": {"2107.03344": "|[time encoding of finite-rate-of-innovation signals](https://arxiv.org/abs/2107.03344)|[genfri-tem](https://github.com/kamath-abhijith/genfri-tem)|\n", "2008.09563": "|[achievable rate optimization for mimo systems with reconfigurable intelligent surfaces](https://arxiv.org/abs/2008.09563)|[pgm_code_achievable_rate_optimization](https://gitlab.com/n.s.perovic/pgm_code_achievable_rate_optimization)|\n"}, "2021-09-07": {"2011.02025": "|[quasi monte carlo time-frequency analysis](https://arxiv.org/abs/2011.02025)|[LTFT-Phase-Vocoder](https://github.com/RonLevie/LTFT-Phase-Vocoder)|\n", "2104.12356": "|[a tutorial on generalized eigendecomposition for source separation in multichannel electrophysiology](https://arxiv.org/abs/2104.12356)|[GED_tutorial](https://github.com/mikexcohen/GED_tutorial)|\n", "2006.06332": "|[a variational approach to privacy and fairness](https://arxiv.org/abs/2006.06332)|[VariationalPrivacyFairness](https://github.com/burklight/VariationalPrivacyFairness)|\n", "2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-09-08": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2007.00436": "|[multi-layer bilinear generalized approximate message passing](https://arxiv.org/abs/2007.00436)|[ML-BiGAMP](https://github.com/QiuyunZou/ML-BiGAMP)|\n", "2010.12337": "|[fusion of dual spatial information for hyperspectral image classification](https://arxiv.org/abs/2010.12337)|[Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification](https://github.com/PuhongDuan/Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification)|\n"}, "2021-09-09": {"2102.11895": "|[mgait: model-based gait analysis using wearable bend and inertial sensors](https://arxiv.org/abs/2102.11895)|[mgait](https://github.com/sizhean/mgait)|\n", "2102.13604": "|[federated edge learning with misaligned over-the-air computation](https://arxiv.org/abs/2102.13604)|[MisAlignedOAC](https://github.com/lynshao/MisAlignedOAC)|\n"}, "2021-09-10": {"2005.05964": "|[deep completion autoencoders for radio map estimation](https://arxiv.org/abs/2005.05964)|[deep-autoencoders-cartography](https://github.com/yvestegnya2/deep-autoencoders-cartography)|\n", "2102.00927": "|[total least squares phase retrieval](https://arxiv.org/abs/2102.00927)|[tls_phase](https://github.com/swing-research/tls_phase)|\n", "2109.03853": "|[a bayesian framework for information-theoretic probing](https://arxiv.org/abs/2109.03853)|[bayesian-mi](https://github.com/rycolab/bayesian-mi)|\n"}, "2021-09-11": {}, "2021-09-12": {}, "2021-09-13": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n"}, "2021-09-14": {"2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2109.05107": "|[on the feasibility of modeling ofdm communication signals with unsupervised generative adversarial networks](https://arxiv.org/abs/2109.05107)|[ofdm-gan](https://github.com/usnistgov/ofdm-gan)|\n", "2109.05378": "|[modelling the utility of group testing for public health surveillance](https://arxiv.org/abs/2109.05378)|[group-testing](https://github.com/g-pichler/group-testing)|\n", "2109.05978": "|[rwp+: a new random waypoint model for high-speed mobility](https://arxiv.org/abs/2109.05978)|[rwp](https://github.com/ammarhuss/rwp)|\n"}, "2021-09-15": {"2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n", "2109.06248": "|[distilling ghz states using stabilizer codes](https://arxiv.org/abs/2109.06248)|[ghz_distillation_qec](https://github.com/nrenga/ghz_distillation_qec)|\n"}, "2021-09-16": {"2106.04280": "|[optimizing a binary intelligent reflecting surface for ofdm communications under mutual coupling](https://arxiv.org/abs/2106.04280)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2109.06232": "|[the emergence of the shape bias results from communicative efficiency](https://arxiv.org/abs/2109.06232)|[emergent-shape-bias](https://github.com/evaportelance/emergent-shape-bias)|\n"}, "2021-09-17": {"2102.03353": "|[cross-domain activity recognition via substructural optimal transport](https://arxiv.org/abs/2102.03353)|[transferlearning](https://github.com/jindongwang/transferlearning)|\n", "2108.00506": "|[a scalable federated multi-agent architecture for networked connected communication network](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n"}, "2021-09-18": {}, "2021-09-19": {}, "2021-09-20": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n"}, "2021-09-21": {"2007.11482": "|[multi-reference alignment in high dimensions: sample complexity and phase transition](https://arxiv.org/abs/2007.11482)|[high-dimensional-mra-bounds](https://github.com/TamirBendory/high-dimensional-mra-bounds)|\n", "2109.08945": "|[removing noise from extracellular neural recordings using fully convolutional denoising autoencoders](https://arxiv.org/abs/2109.08945)|[fcdae-neural-signal-denoising](https://github.com/alexdelitzas/fcdae-neural-signal-denoising)|\n", "1808.09037": "|[measuring the volatility of the political agenda in public opinion and news media](https://arxiv.org/abs/1808.09037)|[polvol](https://github.com/euagendas/polvol)|\n", "2109.09204": "|[on the curvatures of gaussian random field manifolds](https://arxiv.org/abs/2109.09204)|[curvature_gmrf](https://github.com/alexandrelevada/curvature_gmrf)|\n"}, "2021-09-22": {}, "2021-09-23": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2101.12190": "|[practical distributed quantum information processing with loccnet](https://arxiv.org/abs/2101.12190)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-09-24": {"2105.13331": "|[quantization and deployment of deep neural networks on microcontrollers](https://arxiv.org/abs/2105.13331)|[microai_public](https://bitbucket.org/edge-team-leat/microai_public)|\n", "2109.11168": "|[unified signal compression using a gan with iterative latent representation optimization](https://arxiv.org/abs/2109.11168)|[bpgan-signal-compression](https://github.com/bowenl0218/bpgan-signal-compression)|\n"}, "2021-09-25": {}, "2021-09-26": {}, "2021-09-27": {"2009.05277": "|[afp-src: identification of antifreeze proteins using sparse representation classifier](https://arxiv.org/abs/2009.05277)|[AFP-SRC](https://github.com/Shujaat123/AFP-SRC)|\n", "2109.11656": "|[sparse multi-reference alignment: sample complexity and computational hardness](https://arxiv.org/abs/2109.11656)|[sparsemra](https://github.com/tamirbendory/sparsemra)|\n", "2109.11813": "|[generalized autocorrelation analysis for multi-target detection](https://arxiv.org/abs/2109.11813)|[mtd-gmm](https://github.com/krshay/mtd-gmm)|\n", "2012.06065": "|[coded sparse matrix computation schemes that leverage partial stragglers](https://arxiv.org/abs/2012.06065)|[LeveragePartialStragglers](https://github.com/anindyabijoydas/LeveragePartialStragglers)|\n", "2101.03888": "|[the value of information and efficient switching in channel selection](https://arxiv.org/abs/2101.03888)|[valueofinformationandefficientswitching](https://github.com/yoninazarathy/valueofinformationandefficientswitching)|\n", "2109.11737": "|[estimating r\\'enyi's $\\alpha$-cross-entropies in a matrix-based way](https://arxiv.org/abs/2109.11737)|[mbrce](https://github.com/isledge/mbrce)|\n"}, "2021-09-28": {"2103.02215": "|[the generalized method of moments for multi-reference alignment](https://arxiv.org/abs/2103.02215)|[gmm-cryo](https://github.com/abasasa/gmm-cryo)|\n", "1910.00471": "|[error thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2006.10189": "|[revisiting minimum description length complexity in overparameterized models](https://arxiv.org/abs/2006.10189)|[mdl-complexity](https://github.com/csinva/mdl-complexity)|\n"}, "2021-09-29": {"2010.16297": "|[robust localization in wireless networks from corrupted signals](https://arxiv.org/abs/2010.16297)|[RobustLocalization](https://github.com/Muhammad-Osama/RobustLocalization)|\n", "2102.02898": "|[cobiveco: consistent biventricular coordinates for precise and intuitive description of position in the heart -- with matlab implementation](https://arxiv.org/abs/2102.02898)|[Cobiveco](https://github.com/KIT-IBT/Cobiveco)|\n"}, "2021-09-30": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n"}, "2021-10-01": {"2007.11482": "|[multi-reference alignment in high dimensions: sample complexity and phase transition](https://arxiv.org/abs/2007.11482)|[high-dimensional-mra-bounds](https://github.com/TamirBendory/high-dimensional-mra-bounds)|\n", "2104.01912": "|[multi-ris-aided wireless systems: statistical characterization and performance analysis](https://arxiv.org/abs/2104.01912)|[Multi-RIS](https://github.com/trinhudo/Multi-RIS)|\n", "2109.15136": "|[transfer learning based multi-objective evolutionary algorithm for community detection of dynamic complex networks](https://arxiv.org/abs/2109.15136)|[TMOGA](https://github.com/zjg540066169/TMOGA)|\n"}, "2021-10-02": {}, "2021-10-03": {}, "2021-10-04": {"2005.06524": "|[deep learning for classifying and characterizing atmospheric ducting within the maritime setting](https://arxiv.org/abs/2005.06524)|[deep-learning-em-ducting](https://github.com/nonlinearfun/deep-learning-em-ducting)|\n", "2010.07394": "|[decomposing non-stationary signals with time-varying wave-shape functions](https://arxiv.org/abs/2010.07394)|[SAMD](https://github.com/macolominas/SAMD)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[ml-opf](https://github.com/tdfalc/ml-opf)|\n"}, "2021-10-05": {"2002.04960": "|[power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces](https://arxiv.org/abs/2002.04960)|[near-field-behavior](https://github.com/emilbjornson/near-field-behavior)|\n", "2110.00654": "|[map-csi: single-site map-assisted localization using massive mimo csi](https://arxiv.org/abs/2110.00654)|[mapcsi](https://github.com/katarinavuckovic/mapcsi)|\n", "2110.00844": "|[a robust alternative for graph convolutional neural networks via graph neighborhood filters](https://arxiv.org/abs/2110.00844)|[neighborhoodgf](https://github.com/vmtenorio/neighborhoodgf)|\n", "2109.09204": "|[on the curvatures of gaussian random field manifolds](https://arxiv.org/abs/2109.09204)|[curvature_gmrf](https://github.com/alexandrelevada/curvature_gmrf)|\n"}, "2021-10-06": {"2110.01655": "|[vtamiq: transformers for attention modulated image quality assessment](https://arxiv.org/abs/2110.01655)|[vtamiq](https://github.com/ch-andrei/vtamiq)|\n", "2110.01722": "|[wireless link scheduling via graph representation learning: a comparative study of different supervision levels](https://arxiv.org/abs/2110.01722)|[LinkSchedulingGNNs_SupervisionStudy](https://github.com/navid-naderi/LinkSchedulingGNNs_SupervisionStudy)|\n"}, "2021-10-07": {"2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2110.02538": "|[a local updating algorithm for personalized pagerank via chebyshev polynomials](https://arxiv.org/abs/2110.02538)|[pagerank_updating_chebyshev_paper](https://github.com/estbautista/pagerank_updating_chebyshev_paper)|\n", "2110.02915": "|[unrolling particles: unsupervised learning of sampling distributions](https://arxiv.org/abs/2110.02915)|[unrolling-particles](https://github.com/fgfgama/unrolling-particles)|\n", "2101.04348": "|[phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork](https://arxiv.org/abs/2101.04348)|[gec-sr-pr-hypernets](https://github.com/wangchangjen/gec-sr-pr-hypernets)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2021-10-08": {"2110.03435": "|[light-sernet: a lightweight fully convolutional neural network for speech emotion recognition](https://arxiv.org/abs/2110.03435)|[light-sernet](https://github.com/aryaaftab/light-sernet)|\n", "2110.03448": "|[multi-head relu implicit neural representation networks](https://arxiv.org/abs/2110.03448)|[mh-relu-inr](https://github.com/alirezamorsali/mh-relu-inr)|\n", "2110.03666": "|[joint inference of multiple graphs with hidden variables from stationary graph signals](https://arxiv.org/abs/2110.03666)|[hidden_joint_inference](https://github.com/reysam93/hidden_joint_inference)|\n"}, "2021-10-09": {}, "2021-10-10": {}, "2021-10-11": {"2110.03691": "|[direct design of biquad filter cascades with deep learning by sampling random polynomials](https://arxiv.org/abs/2110.03691)|[iirnet](https://github.com/csteinmetz1/iirnet)|\n", "2110.04124": "|[ensemble neural representation networks](https://arxiv.org/abs/2110.04124)|[enrp](https://github.com/alirezamorsali/enrp)|\n", "2110.04239": "|[operanet: a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors](https://arxiv.org/abs/2110.04239)|[oddet](https://github.com/rogetk/oddet)|\n", "2009.10525": "|[randomized continuous frames in time-frequency analysis](https://arxiv.org/abs/2009.10525)|[LTFT-Phase-Vocoder](https://github.com/RonLevie/LTFT-Phase-Vocoder)|\n"}, "2021-10-12": {"2002.12898": "|[pm2.5-gnn: a domain knowledge enhanced graph neural network for pm2.5 forecasting](https://arxiv.org/abs/2002.12898)|[PM2.5-GNN](https://github.com/shawnwang-tech/PM2.5-GNN)|\n", "2006.05459": "|[privacy for free: wireless federated learning via uncoded transmission with adaptive power control](https://arxiv.org/abs/2006.05459)|[Privacy4Free_DPWFL](https://github.com/kclip/Privacy4Free_DPWFL)|\n", "2110.04456": "|[deep joint source-channel coding for wireless image transmission with adaptive rate control](https://arxiv.org/abs/2110.04456)|[dynamic_jscc](https://github.com/mingyuyng/dynamic_jscc)|\n", "2110.04653": "|[topological data analysis (tda) techniques enhance hand pose classification from ecog neural recordings](https://arxiv.org/abs/2110.04653)|[ecog_vbh_2021](https://github.com/machinelearningjournalclub/ecog_vbh_2021)|\n", "2110.04717": "|[rtsnet: deep learning aided kalman smoothing](https://arxiv.org/abs/2110.04717)|[rtsnet_icassp22](https://github.com/kalmannet/rtsnet_icassp22)|\n", "2110.04738": "|[uncertainty in data-driven kalman filtering for partially known state-space models](https://arxiv.org/abs/2110.04738)|[errcov_icassp22](https://github.com/kalmannet/errcov_icassp22)|\n", "2110.04810": "|[application of graph convolutions in a lightweight model for skeletal human motion forecasting](https://arxiv.org/abs/2110.04810)|[lightweight-motion-forecasting](https://github.com/LucaHermes/lightweight-motion-forecasting)|\n", "2110.05266": "|[chaos as an interpretable benchmark for forecasting and data-driven modelling](https://arxiv.org/abs/2110.05266)|[dysts](https://github.com/williamgilpin/dysts)|\n", "2007.14110": "|[wavefuse: a unified deep framework for image fusion with discrete wavelet transform](https://arxiv.org/abs/2007.14110)|[WaveFuse_code](https://github.com/slliuEric/WaveFuse_code)|\n", "2109.15136": "|[transfer learning based multi-objective genetic algorithm for dynamic community detection](https://arxiv.org/abs/2109.15136)|[TMOGA](https://github.com/zjg540066169/TMOGA)|\n"}, "2021-10-13": {"2009.12919": "|[benchmarking deep inverse models over time, and the neural-adjoint method](https://arxiv.org/abs/2009.12919)|[BDIMNNA](https://github.com/BensonRen/BDIMNNA)|\n", "2102.02196": "|[on entropy and bit patterns of ring oscillator jitter](https://arxiv.org/abs/2102.02196)|[bitpat](https://github.com/mjosaarinen/bitpat)|\n", "2110.05528": "|[smoothed separable nonnegative matrix factorization](https://arxiv.org/abs/2110.05528)|[smoothed-separable-nmf](https://gitlab.com/nnadisic/smoothed-separable-nmf)|\n", "2110.05588": "|[deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering](https://arxiv.org/abs/2110.05588)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n", "2110.05606": "|[nearest subspace search in the signed cumulative distribution transform space for 1d signal classification](https://arxiv.org/abs/2110.05606)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n", "2110.06139": "|[classification of anomalous gait using machine learning techniques and embedded sensors](https://arxiv.org/abs/2110.06139)|[HumanGait](https://github.com/rTiagoS/HumanGait)|\n", "2110.05587": "|[evaluation of latent space disentanglement in the presence of interdependent attributes](https://arxiv.org/abs/2110.05587)|[dependency-aware-mi-metrics](https://github.com/karnwatcharasupat/dependency-aware-mi-metrics)|\n", "2110.05649": "|[learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection](https://arxiv.org/abs/2110.05649)|[lrpca](https://github.com/caesarcai/lrpca)|\n", "2110.05794": "|[information theoretic structured generative modeling](https://arxiv.org/abs/2110.05794)|[structured-generative-modeling](https://github.com/bohu615/structured-generative-modeling)|\n"}, "2021-10-14": {"2104.07388": "|[conditional independence for pretext task selection in self-supervised speech representation learning](https://arxiv.org/abs/2104.07388)|[Pseudo-Label-Selection](https://github.com/salah-zaiem/Pseudo-Label-Selection)|\n", "2110.06440": "|[sdr -- medium rare with fast computations](https://arxiv.org/abs/2110.06440)|[fast_bss_eval](https://github.com/fakufaku/fast_bss_eval)|\n", "2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2110.06838": "|[full-stack comparison of channel models for networks above 100 ghz in an indoor scenario](https://arxiv.org/abs/2110.06838)|[thz-mmnets-2021](https://github.com/signetlabdei/thz-mmnets-2021)|\n"}, "2021-10-15": {"2105.13667": "|[grouped variable selection for generalized eigenvalue problems](https://arxiv.org/abs/2105.13667)|[benchmarkStudySensorSelection](https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection)|\n", "2110.07308": "|[node-screening tests for l0-penalized least-squares problem with supplementary material](https://arxiv.org/abs/2110.07308)|[bnb-screening](https://gitlab.insa-rennes.fr/Theo.Guyard/bnb-screening)|\n", "2110.07471": "|[stability analysis of unfolded wmmse for power allocation](https://arxiv.org/abs/2110.07471)|[stability-uwmmse](https://github.com/archo48/stability-uwmmse)|\n", "2110.07570": "|[smgc: a complex-valued graph convolutional network via magnetic laplacian for directed graphs](https://arxiv.org/abs/2110.07570)|[MGCs](https://github.com/hazdzz/MGCs)|\n", "2009.07204": "|[new instances of quadratic apn functions](https://arxiv.org/abs/2009.07204)|[quadratic_apn](https://github.com/cbe90/quadratic_apn)|\n", "2012.04524": "|[construction of optimal spectral methods in phase retrieval](https://arxiv.org/abs/2012.04524)|[Optimal_Spectral_Methods_PR](https://github.com/AnMaillard/Optimal_Spectral_Methods_PR)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n"}, "2021-10-16": {}, "2021-10-17": {}, "2021-10-18": {"2108.10335": "|[edge-sr: super-resolution for the masses](https://arxiv.org/abs/2108.10335)|[esr](https://github.com/pnavarre/esr)|\n"}, "2021-10-19": {"1903.02184": "|[learning how to demodulate from few pilots via meta-learning](https://arxiv.org/abs/1903.02184)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2110.09005": "|[unsupervised learned kalman filtering](https://arxiv.org/abs/2110.09005)|[Unsupervised_ICASSP22](https://github.com/KalmanNet/Unsupervised_ICASSP22)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2021-10-20": {"2102.04170": "|[learning task-oriented communication for edge inference: an information bottleneck approach](https://arxiv.org/abs/2102.04170)|[VL-VFE](https://github.com/shaojiawei07/VL-VFE)|\n", "2107.04174": "|[easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments](https://arxiv.org/abs/2107.04174)|[EasyComDataset](https://github.com/facebookresearch/EasyComDataset)|\n", "2110.09541": "|[wideband and entropy-aware deep soft bit quantization](https://arxiv.org/abs/2110.09541)|[wideband-llr-deep](https://github.com/utcsilab/wideband-llr-deep)|\n", "2110.09807": "|[learning to learn graph topologies](https://arxiv.org/abs/2110.09807)|[l2g-neurips2021](https://github.com/xpuoxford/l2g-neurips2021)|\n", "2110.09626": "|[a cautionary tale on fitting decision trees to data from additive models: generalization lower bounds](https://arxiv.org/abs/2110.09626)|[additive_trees](https://github.com/aagarwal1996/additive_trees)|\n"}, "2021-10-21": {}, "2021-10-22": {"1908.09049": "|[learning to demodulate from few pilots via offline and online meta-learning](https://arxiv.org/abs/1908.09049)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1910.09945": "|[meta-learning to communicate: fast end-to-end training for fading channels](https://arxiv.org/abs/1910.09945)|[meta-autoencoder](https://github.com/kclip/meta-autoencoder)|\n", "2003.01479": "|[end-to-end fast training of communication links without a channel model via online meta-learning](https://arxiv.org/abs/2003.01479)|[meta-autoencoder-without-channel-model](https://github.com/kclip/meta-autoencoder-without-channel-model)|\n", "2105.04040": "|[truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling](https://arxiv.org/abs/2105.04040)|[truly_shift_invariant_cnns](https://github.com/achaman2/truly_shift_invariant_cnns)|\n", "2110.10812": "|[real-m: towards speech separation on real mixtures](https://arxiv.org/abs/2110.10812)|[sisnr-estimation](https://github.com/speechbrain/speechbrain/tree/develop/recipes/REAL-M/sisnr-estimation)|\n", "2001.01227": "|[from learning to meta-learning: reduced training overhead and complexity for communication systems](https://arxiv.org/abs/2001.01227)|[meta-autoencoder](https://github.com/kclip/meta-autoencoder)|\n", "2102.02541": "|[on fading channel dependency structures with a positive zero-outage capacity](https://arxiv.org/abs/2102.02541)|[zero-outage-joint-distributions](https://gitlab.com/klb2/zero-outage-joint-distributions)|\n"}, "2021-10-23": {}, "2021-10-24": {}, "2021-10-25": {}, "2021-10-26": {"2106.10543": "|[signal processing based deep learning for blind symbol decoding and modulation classification](https://arxiv.org/abs/2106.10543)|[dual_path_network](https://github.com/uclacores/dual_path_network)|\n", "2110.12387": "|[task-based graph signal compression](https://arxiv.org/abs/2110.12387)|[graph_signal_compression](https://github.com/pei65536/graph_signal_compression)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n", "2104.11054": "|[teramimo: a channel simulator for wideband ultra-massive mimo terahertz communications](https://arxiv.org/abs/2104.11054)|[TeraMIMO](https://github.com/hasarieddeen/TeraMIMO)|\n"}, "2021-10-27": {"2106.03668": "|[recovery analysis for plug-and-play priors using the restricted eigenvalue condition](https://arxiv.org/abs/2106.03668)|[pnp-recovery](https://github.com/wustl-cig/pnp-recovery)|\n", "2106.16048": "|[resilient uav swarm communications with graph convolutional neural network](https://arxiv.org/abs/2106.16048)|[resilient-swarm-communications-with-meta-graph-convolutional-networks](https://github.com/nobodymx/resilient-swarm-communications-with-meta-graph-convolutional-networks)|\n", "2006.07225": "|[neural estimators for conditional mutual information using nearest neighbors sampling](https://arxiv.org/abs/2006.07225)|[CMI_Neural_Estimator](https://github.com/smolavipour/CMI_Neural_Estimator)|\n", "2009.08228": "|[leadcache: regret-optimal caching in networks](https://arxiv.org/abs/2009.08228)|[leadcache-neurips21](https://github.com/abhishekmitiitm/leadcache-neurips21)|\n"}, "2021-10-28": {"2106.04443": "|[robust generalization despite distribution shift via minimum discriminating information](https://arxiv.org/abs/2106.04443)|[pmdi_dro](https://github.com/tobsutter/pmdi_dro)|\n", "2110.14628": "|[(almost) free incentivized exploration from decentralized learning agents](https://arxiv.org/abs/2110.14628)|[observe_then_incentivize](https://github.com/shengroup/observe_then_incentivize)|\n"}, "2021-10-29": {"2102.13284": "|[nch sleep databank: a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "1910.00471": "|[error thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2109.05378": "|[modelling the utility of group testing for public health surveillance](https://arxiv.org/abs/2109.05378)|[group-testing](https://github.com/g-pichler/group-testing)|\n"}, "2021-10-30": {}, "2021-10-31": {}, "2021-11-01": {"2102.10172": "|[channel estimation and data detection analysis of massive mimo with 1-bit adcs](https://arxiv.org/abs/2102.10172)|[ch_est_data_det_1-bit](https://github.com/italo-atzeni/ch_est_data_det_1-bit)|\n", "2108.10226": "|[ecg-based heart arrhythmia diagnosis through attentional convolutional neural networks](https://arxiv.org/abs/2108.10226)|[heart-arrhythmia-diagnosis-with-deep-learning](https://github.com/ziyuliu-lion/heart-arrhythmia-diagnosis-with-deep-learning)|\n"}, "2021-11-02": {"2009.11536": "|[complex convolutional neural networks for ultrafast ultrasound image reconstruction from in-phase/quadrature signal](https://arxiv.org/abs/2009.11536)|[cid-net](https://github.com/jingfeng-lu/cid-net)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2111.00704": "|[a novel 1d state space for efficient music rhythmic analysis](https://arxiv.org/abs/2111.00704)|[1d-statespace](https://github.com/mjhydri/1d-statespace)|\n", "2106.03783": "|[an information-theoretic approach to distribution shifts](https://arxiv.org/abs/2106.03783)|[dsit](https://github.com/mfederici/dsit)|\n", "2110.14622": "|[heterogeneous multi-player multi-armed bandits: closing the gap and generalization](https://arxiv.org/abs/2110.14622)|[mpmab_beacon](https://github.com/shengroup/mpmab_beacon)|\n", "2111.00056": "|[generalized data weighting via class-level gradient manipulation](https://arxiv.org/abs/2111.00056)|[gdw-nips2021](https://github.com/ggchen1997/gdw-nips2021)|\n"}, "2021-11-03": {"2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n"}, "2021-11-04": {"2101.03792": "|[diagnosis of intelligent reflecting surface in millimeter-wave communication systems](https://arxiv.org/abs/2101.03792)|[IRSdiagnosis](https://github.com/DestinationSR/IRSdiagnosis)|\n"}, "2021-11-05": {"2111.02561": "|[maus: a dataset for mental workload assessmenton n-back task using wearable sensor](https://arxiv.org/abs/2111.02561)|[MAUS_dataset_baseline_system](https://github.com/rickwu11/MAUS_dataset_baseline_system)|\n", "2105.03925": "|[on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations](https://arxiv.org/abs/2105.03925)|[information-density](https://gitlab.com/infth/information-density)|\n", "2107.01952": "|[partition and code: learning how to compress graphs](https://arxiv.org/abs/2107.01952)|[PnC](https://github.com/gbouritsas/PnC)|\n"}, "2021-11-06": {}, "2021-11-08": {"2010.11347": "|[correlation-aware cooperative multigroup broadcast 360{\\deg} video delivery network: a hierarchical deep reinforcement learning approach](https://arxiv.org/abs/2010.11347)|[Hierarchical-Multi-agent-DRL-with-Federated-Learning](https://github.com/paperflight/Hierarchical-Multi-agent-DRL-with-Federated-Learning)|\n", "2106.13358": "|[scalable perception-action-communication loops with convolutional and graph neural networks](https://arxiv.org/abs/2106.13358)|[VGAI](https://github.com/VITA-Group/VGAI)|\n", "2108.00506": "|[scalable multi-agent reinforcement learning algorithm for wireless networks](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.03504": "|[deep-learning based linear precoding for mimo channels with finite-alphabet signaling](https://arxiv.org/abs/2111.03504)|[optimalprecodingmimo](https://github.com/girnyk/optimalprecodingmimo)|\n"}, "2021-11-07": {}, "2021-11-10": {"2102.02993": "|[lord-net: unfolded deep detection network with low-resolution receivers](https://arxiv.org/abs/2102.02993)|[LoRD-Net](https://github.com/skhobahi/LoRD-Net)|\n", "2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2106.10711": "|[transfer bayesian meta-learning via weighted free energy minimization](https://arxiv.org/abs/2106.10711)|[meta_learning_pacoh](https://github.com/jonasrothfuss/meta_learning_pacoh)|\n", "2111.03201": "|[compressing sensor data for remote assistance of autonomous vehicles using deep generative models](https://arxiv.org/abs/2111.03201)|[deep_generative_models](https://github.com/daniel-bogdoll/deep_generative_models)|\n", "2101.04348": "|[phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork](https://arxiv.org/abs/2101.04348)|[gec-sr-pr-hypernets](https://github.com/wangchangjen/gec-sr-pr-hypernets)|\n", "2111.05299": "|[can information flows suggest targets for interventions in neural circuits?](https://arxiv.org/abs/2111.05299)|[ann-info-flow](https://github.com/praveenv253/ann-info-flow)|\n"}, "2021-11-09": {"2008.05948": "|[estimating the magnitude and phase of automotive radar signals under multiple interference sources with fully convolutional networks](https://arxiv.org/abs/2008.05948)|[arim-v2](https://github.com/ristea/arim-v2)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n", "2111.04566": "|[rf-net: a unified meta-learning framework for rf-enabled one-shot human activity recognition](https://arxiv.org/abs/2111.04566)|[rfnet](https://github.com/di0002ya/rfnet)|\n", "2111.04593": "|[frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n", "2104.08685": "|[linguistic dependencies and statistical dependence](https://arxiv.org/abs/2104.08685)|[cpmi-dependencies](https://github.com/mcqll/cpmi-dependencies)|\n", "2111.03699": "|[a space of goals: the cognitive geometry of informationally bounded agents](https://arxiv.org/abs/2111.03699)|[cognitive-geometry](https://gitlab.com/uh-adapsys/cognitive-geometry)|\n", "2111.03905": "|[geodesic curves in gaussian random field manifolds](https://arxiv.org/abs/2111.03905)|[rk4_geodesic_gmrf](https://github.com/alexandrelevada/rk4_geodesic_gmrf)|\n"}, "2021-11-11": {"2111.05100": "|[eegeyenet: a simultaneous electroencephalography and eye-tracking dataset and benchmark for eye movement prediction](https://arxiv.org/abs/2111.05100)|[eegeyenet](https://github.com/ardkastrati/eegeyenet)|\n", "2111.05496": "|[resnests and densenests: block-based dnn models with improved representation guarantees](https://arxiv.org/abs/2111.05496)|[resnest](https://github.com/kjason/resnest)|\n", "2106.11723": "|[neural distributed image compression using common information](https://arxiv.org/abs/2106.11723)|[NDIC](https://github.com/ipc-lab/NDIC)|\n"}, "2021-11-12": {"2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-11-13": {}, "2021-11-14": {}, "2021-11-15": {"2111.06671": "|[hlt-nus submission for 2020 nist conversational telephone speech sre](https://arxiv.org/abs/2111.06671)|[ecapatdnn](https://github.com/taoruijie/ecapatdnn)|\n"}, "2021-11-16": {"2001.11419": "|[grassmannian optimization for online tensor completion and tracking with the t-svd](https://arxiv.org/abs/2001.11419)|[TOUCAN](https://github.com/kgilman/TOUCAN)|\n", "2102.10666": "|[electromagnetic model of reflective intelligent surfaces](https://arxiv.org/abs/2102.10666)|[Intelligent-Surfaces](https://github.com/MicheleBorgese/Intelligent-Surfaces)|\n", "2107.06678": "|[optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2111.07017": "|[delay-oriented distributed scheduling using graph neural networks](https://arxiv.org/abs/2111.07017)|[gcn-dql](https://github.com/zhongyuanzhao/gcn-dql)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.07480": "|[power allocation for wireless federated learning using graph neural networks](https://arxiv.org/abs/2111.07480)|[wirelessfl-pdgnet](https://github.com/bl166/wirelessfl-pdgnet)|\n", "1804.00486": "|[benefit of joint doa and delay estimation with application to indoor localization in wifi and 5g](https://arxiv.org/abs/1804.00486)|[jade](https://github.com/fwen/jade)|\n", "2012.05549": "|[categorical perception: a groundwork for deep learning](https://arxiv.org/abs/2012.05549)|[categorical_perception_ann_neco](https://github.com/l-bg/categorical_perception_ann_neco)|\n", "2111.06999": "|[quasifibrations of graphs to find symmetries in biological networks](https://arxiv.org/abs/2111.06999)|[qf](https://github.com/boldip/qf)|\n"}, "2021-11-17": {"2102.10172": "|[channel estimation and data detection analysis of massive mimo with 1-bit adcs](https://arxiv.org/abs/2102.10172)|[ch_est_data_det_1-bit](https://github.com/italo-atzeni/ch_est_data_det_1-bit)|\n", "2104.06706": "|[towards off-the-grid algorithms for total variation regularized inverse problems](https://arxiv.org/abs/2104.06706)|[tvsfw](https://github.com/rpetit/tvsfw)|\n", "2110.03666": "|[joint inference of multiple graphs with hidden variables from stationary graph signals](https://arxiv.org/abs/2110.03666)|[hidden_joint_inference](https://github.com/reysam93/hidden_joint_inference)|\n", "2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[r-local-unlabeled-sensing](https://github.com/aabbas02/r-local-unlabeled-sensing)|\n", "2111.08177": "|[deep diffusion models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n"}, "2021-11-18": {"2104.14579": "|[lidar and position-aided mmwave beam selection with non-local cnns and curriculum training](https://arxiv.org/abs/2104.14579)|[LIDAR-mmWave-Beam-Selection](https://github.com/MatteoEURECOM/LIDAR-mmWave-Beam-Selection)|\n", "2106.10307": "|[deep learning based mac via joint channel access and rate adaptation](https://arxiv.org/abs/2106.10307)|[Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset](https://github.com/postman511/Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset)|\n"}, "2021-11-19": {"2105.03061": "|[deep reinforcement learning-designed radiofrequency waveform in mri](https://arxiv.org/abs/2105.03061)|[deeprf](https://github.com/snu-list/deeprf)|\n", "2107.01849": "|[integrating expert knowledge with domain adaptation for unsupervised fault diagnosis](https://arxiv.org/abs/2107.01849)|[syn2real](https://github.com/qinenergy/syn2real)|\n"}, "2021-11-20": {}, "2021-11-21": {}, "2021-11-22": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2111.10087": "|[beamforming using digital piezoelectric mems microphone array](https://arxiv.org/abs/2111.10087)|[vm3000-microphones](https://github.com/uwasystemhealth/vm3000-microphones)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2111.08843": "|[error coefficient-reduced polar/pac codes](https://arxiv.org/abs/2111.08843)|[Error-Coefficient-reduced-Polar-PAC-Codes](https://github.com/mohammad-rowshan/Error-Coefficient-reduced-Polar-PAC-Codes)|\n"}, "2021-11-23": {"1912.12528": "|[applications of unsupervised deep transfer learning to intelligent fault diagnosis: a survey and comparative study](https://arxiv.org/abs/1912.12528)|[UDTL](https://github.com/ZhaoZhibin/UDTL)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.10596": "|[semi-supervised impedance inversion by bayesian neural network based on 2-d cnn pre-training](https://arxiv.org/abs/2111.10596)|[bayesian-semi-supervised-impedance-inversion](https://github.com/tom-900/bayesian-semi-supervised-impedance-inversion)|\n", "2005.08797": "|[variational quantum gibbs state preparation with a truncated taylor series](https://arxiv.org/abs/2005.08797)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-11-24": {"2104.14526": "|[scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements](https://arxiv.org/abs/2104.14526)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n", "2111.11482": "|[graph neural networks with parallel neighborhood aggregations for graph classification](https://arxiv.org/abs/2111.11482)|[spin](https://github.com/siddhant-doshi/spin)|\n"}, "2021-11-25": {"2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n", "2111.12148": "|[machine learning based forward solver: an automatic framework in gprmax](https://arxiv.org/abs/2111.12148)|[gprMax](https://github.com/utsav-akhaury/gprMax)|\n", "2111.12429": "|[tsflex: flexible time series processing & feature extraction](https://arxiv.org/abs/2111.12429)|[tsflex](https://github.com/predict-idlab/tsflex)|\n", "2111.12604": "|[state-space deep gaussian processes with applications](https://arxiv.org/abs/2111.12604)|[dissertation](https://github.com/zgbkdlm/dissertation)|\n", "2102.09159": "|[robust and differentially private mean estimation](https://arxiv.org/abs/2102.09159)|[robust_dp](https://github.com/xiyangl3/robust_dp)|\n"}, "2021-11-26": {}, "2021-11-27": {}, "2021-11-28": {}, "2021-11-29": {"1907.10709": "|[automatic crack classification by exploiting statistical event descriptors for deep learning](https://arxiv.org/abs/1907.10709)|[deeplearning_crack_classification](https://github.com/giuliosiracusano/deeplearning_crack_classification)|\n", "2111.12925": "|[contourletnet: a generalized rain removal architecture using multi-direction hierarchical representation](https://arxiv.org/abs/2111.12925)|[contourletnet-bmvc2021](https://github.com/cctakaet/contourletnet-bmvc2021)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n"}, "2021-11-30": {"1901.07915": "|[iclabel: an automated electroencephalographic independent component classifier, dataset, and website](https://arxiv.org/abs/1901.07915)|[ICLabel-Train](https://github.com/lucapton/ICLabel-Train)|\n", "2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/iksrwth/visualization-of-sh-domain-operations)|\n", "2107.14367": "|[opensync: an opensource platform for synchronizing multiple measures in neuroscience experiments](https://arxiv.org/abs/2107.14367)|[OpenSync_Unity](https://github.com/moeinrazavi/OpenSync_Unity)|\n", "2111.13984": "|[ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning](https://arxiv.org/abs/2111.13984)|[ncvx](https://github.com/sun-umn/ncvx)|\n", "2105.04453": "|[neural computation of capacity region of memoryless multiple access channels](https://arxiv.org/abs/2105.04453)|[Neural-Capacity-Computation](https://github.com/Farhad-Mrkm/Neural-Capacity-Computation)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[ReduNet](https://github.com/Ma-Lab-Berkeley/ReduNet)|\n"}, "2021-12-01": {"2111.14960": "|[validating circacp: a generic sleep-wake cycle detection algorithm](https://arxiv.org/abs/2111.14960)|[circacp](https://github.com/shanshanchen-biostat/circacp)|\n", "2111.15378": "|[clustering-based activity detection algorithms for grant-free random access in cell-free massive mimo](https://arxiv.org/abs/2111.15378)|[grant-free](https://github.com/emilbjornson/grant-free)|\n", "2111.15569": "|[scalable machine learning architecture for neonatal seizure detection on ultra-edge devices](https://arxiv.org/abs/2111.15569)|[NeonatalSeizureDetection](https://github.com/vishaln15/NeonatalSeizureDetection)|\n", "1809.00964": "|[mathematical models for fake news](https://arxiv.org/abs/1809.00964)|[Fake_News](https://github.com/dmmeier/Fake_News)|\n"}, "2021-12-02": {"1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/heppcat-group/heteroscedastic-probabilistic-pca)|\n", "2111.15662": "|[hottbox: higher order tensor toolbox](https://arxiv.org/abs/2111.15662)|[hottbox](https://github.com/hottbox/hottbox)|\n", "2112.00695": "|[deepaoanet: learning angle of arrival from software defined radios with deep neural networks](https://arxiv.org/abs/2112.00695)|[deepaoanet](https://github.com/zdai257/deepaoanet)|\n"}, "2021-12-03": {"2105.11689": "|[self-supervised graph representation learning via topology transformations](https://arxiv.org/abs/2105.11689)|[topo-ter](https://github.com/gyshgx868/topo-ter)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n"}, "2021-12-04": {}, "2021-12-05": {}, "2021-12-06": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n", "2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2112.01857": "|[disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application](https://arxiv.org/abs/2112.01857)|[synchrosqueezed-chirplet-transforms](https://github.com/ziyuchen7/synchrosqueezed-chirplet-transforms)|\n"}, "2021-12-07": {"1905.11678": "|[eeg-based emotional video classification via learning connectivity structure](https://arxiv.org/abs/1905.11678)|[bsc_lcs](https://github.com/ELEMKEP/bsc_lcs)|\n", "2105.00349": "|[estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise](https://arxiv.org/abs/2105.00349)|[SREA](https://github.com/Castel44/SREA)|\n", "2106.10108": "|[under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2112.02382": "|[my(o) armband leaks passwords: an emg and imu based keylogging side-channel attack](https://arxiv.org/abs/2112.02382)|[myo-keylogging](https://github.com/seemoo-lab/myo-keylogging)|\n", "2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n", "2108.01368": "|[robust compressed sensing mri with deep generative priors](https://arxiv.org/abs/2108.01368)|[csgm-mri-langevin](https://github.com/utcsilab/csgm-mri-langevin)|\n", "2109.12909": "|[compressive visual representations](https://arxiv.org/abs/2109.12909)|[compressive-visual-representations](https://github.com/google-research/compressive-visual-representations)|\n"}, "2021-12-08": {"2001.05965": "|[the elliptical ornstein-uhlenbeck process](https://arxiv.org/abs/2001.05965)|[ellipticalou](https://github.com/adamsykulski/ellipticalou)|\n", "2105.04040": "|[truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling](https://arxiv.org/abs/2105.04040)|[truly_shift_invariant_cnns](https://github.com/achaman2/truly_shift_invariant_cnns)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n"}, "2021-12-09": {"2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2112.04176": "|[mobile bci dataset of scalp- and ear-eegs with erp and ssvep paradigms while standing, walking, and running](https://arxiv.org/abs/2112.04176)|[mobilebci_data](https://github.com/youngeun1209/mobilebci_data)|\n", "2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity exercise](https://arxiv.org/abs/2112.04369)|[adaptive_rpeak_det_public](https://c4science.ch/source/adaptive_rpeak_det_public)|\n", "2105.02083": "|[adaboost and robust one-bit compressed sensing](https://arxiv.org/abs/2105.02083)|[adaboost-and-robust-one-bit-compressed-sensing](https://github.com/felix-127/adaboost-and-robust-one-bit-compressed-sensing)|\n"}, "2021-12-10": {"2103.02313": "|[open community platform for hearing aid algorithm research: open master hearing aid (openmha)](https://arxiv.org/abs/2103.02313)|[openMHA](https://github.com/HoerTech-gGmbH/openMHA)|\n", "2104.05463": "|[scalable power control/beamforming in heterogeneous wireless networks with graph neural networks](https://arxiv.org/abs/2104.05463)|[hignn](https://github.com/zhangxiaochen95/hignn)|\n", "2108.11345": "|[a unifying theory of thompson sampling for continuous risk-averse bandits](https://arxiv.org/abs/2108.11345)|[continuous-rho-ts](https://github.com/joel-ql-chang/continuous-rho-ts)|\n"}, "2021-12-11": {}, "2021-12-12": {}, "2021-12-13": {"2109.08945": "|[removing noise from extracellular neural recordings using fully convolutional denoising autoencoders](https://arxiv.org/abs/2109.08945)|[fcdae-neural-signal-denoising](https://github.com/alexdelitzas/fcdae-neural-signal-denoising)|\n", "2112.00695": "|[deepaoanet: learning angle of arrival from software defined radios with deep neural networks](https://arxiv.org/abs/2112.00695)|[deepaoanet](https://github.com/zdai257/deepaoanet)|\n", "2112.05303": "|[surrogate-based cross-correlation for particle image velocimetry](https://arxiv.org/abs/2112.05303)|[sbcc](https://github.com/yongleex/sbcc)|\n"}, "2021-12-14": {"2004.01571": "|[tree-amp: compositional inference with tree approximate message passing](https://arxiv.org/abs/2004.01571)|[tramp](https://github.com/sphinxteam/tramp)|\n", "2108.08470": "|[chmusic: a traditional chinese music dataset for evaluation of instrument recognition](https://arxiv.org/abs/2108.08470)|[chmusic](https://github.com/haoranweiutd/chmusic)|\n", "2109.12856": "|[multi-static uwb radar-based passive human tracking using cots devices](https://arxiv.org/abs/2109.12856)|[uwb-radar-pedestrian-tracking](https://github.com/clongli/uwb-radar-pedestrian-tracking)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2021-12-15": {"2112.06074": "|[early stopping for deep image prior](https://arxiv.org/abs/2112.06074)|[early_stopping_for_dip](https://github.com/sun-umn/early_stopping_for_dip)|\n", "2112.07252": "|[a deep knowledge distillation framework for eeg assisted enhancement of single-lead ecg based sleep staging](https://arxiv.org/abs/2112.07252)|[sleep_staging_kd](https://github.com/acrophase/sleep_staging_kd)|\n"}, "2021-12-16": {"2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n"}, "2021-12-17": {"2112.08817": "|[search for temporal cell segmentation robustness in phase-contrast microscopy videos](https://arxiv.org/abs/2112.08817)|[microscopy-dl-suite-tf](https://github.com/esgomezm/microscopy-dl-suite-tf)|\n", "2112.09071": "|[a deep learning based multitask network for respiration rate estimation -- a practical perspective](https://arxiv.org/abs/2112.09071)|[multirespdl](https://github.com/acrophase/multirespdl)|\n"}, "2021-12-18": {}, "2021-12-19": {}, "2021-12-20": {"2011.02000": "|[detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning](https://arxiv.org/abs/2011.02000)|[ssl-ecg-v2](https://github.com/pritamqu/ssl-ecg-v2)|\n", "2105.00934": "|[systematic assessment of hyperdimensional computing for epileptic seizure detection](https://arxiv.org/abs/2105.00934)|[HDforEpilepsyPublic](https://c4science.ch/source/HDforEpilepsyPublic)|\n"}, "2021-12-22": {"2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2112.10894": "|[subject-independent drowsiness recognition from single-channel eeg with an interpretable cnn-lstm model](https://arxiv.org/abs/2112.10894)|[Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM](https://github.com/cuijiancorbin/Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM)|\n", "2112.11218": "|[multiple time series fusion based on lstm an application to cap a phase classification using eeg](https://arxiv.org/abs/2112.11218)|[GA_PSO_DEEP_LEARNING](https://github.com/Dntfreitas/GA_PSO_DEEP_LEARNING)|\n"}, "2021-12-21": {"2112.10107": "|[expression is enough: improving traffic signal control with advanced traffic state representation](https://arxiv.org/abs/2112.10107)|[Advanced_XLight](https://github.com/LiangZhang1996/Advanced_XLight)|\n"}, "2021-12-23": {"2111.12429": "|[tsflex: flexible time series processing & feature extraction](https://arxiv.org/abs/2111.12429)|[tsflex](https://github.com/predict-idlab/tsflex)|\n"}, "2021-12-24": {"2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2009.07204": "|[new instances of quadratic apn functions](https://arxiv.org/abs/2009.07204)|[quadratic_apn](https://github.com/cbe90/quadratic_apn)|\n"}, "2021-12-25": {}, "2021-12-26": {}, "2021-12-27": {}, "2021-12-28": {"1811.02007": "|[hardware distortion correlation has negligible impact on ul massive mimo spectral efficiency](https://arxiv.org/abs/1811.02007)|[distortion-correlation](https://github.com/emilbjornson/distortion-correlation)|\n", "2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n", "2101.12190": "|[practical distributed quantum information processing with loccnet](https://arxiv.org/abs/2101.12190)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-12-29": {}, "2021-12-30": {"2012.13567": "|[towards real-world bci: ccspnet, a compact subject-independent motor imagery framework](https://arxiv.org/abs/2012.13567)|[CCSPNet](https://github.com/Singular-Brain/CCSPNet)|\n", "2107.14772": "|[decentralized power allocation for mimo-noma vehicular edge computing based on deep reinforcement learning](https://arxiv.org/abs/2107.14772)|[VEC_DRL_Doppler](https://github.com/qiongwu86/VEC_DRL_Doppler)|\n", "1902.10658": "|[regularity normalization: neuroscience-inspired unsupervised attention across neural network layers](https://arxiv.org/abs/1902.10658)|[UnsupervisedAttentionMechanism](https://github.com/doerlbh/UnsupervisedAttentionMechanism)|\n"}, "2021-12-31": {}, "2022-01-01": {}, "2022-01-02": {}, "2022-01-03": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2112.15071": "|[elastic 3d wavefield simulation on budget gpus using the glsl shading language](https://arxiv.org/abs/2112.15071)|[GLSL-Elastic-3D-Wavefield-Simulation](https://github.com/nosemeocurreapodo/GLSL-Elastic-3D-Wavefield-Simulation)|\n", "1906.12072": "|[multiple testing and variable selection along the path of the least angle regression](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n"}, "2022-01-04": {"2011.12906": "|[a review of open-world learning and steps toward open-world learning without labels](https://arxiv.org/abs/2011.12906)|[Open_World_Learning_Without_Labels](https://github.com/ROBOTICSENGINEER/Open_World_Learning_Without_Labels)|\n", "2102.00742": "|[reconfigurable intelligent surfaces: a signal processing perspective with wireless applications](https://arxiv.org/abs/2102.00742)|[spm_ris](https://github.com/emilbjornson/spm_ris)|\n", "2111.13984": "|[ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning](https://arxiv.org/abs/2111.13984)|[ncvx](https://github.com/sun-umn/ncvx)|\n", "2201.00627": "|[uncertainty detection in eeg neural decoding models](https://arxiv.org/abs/2201.00627)|[ue-eeg](https://github.com/tiehangd/ue-eeg)|\n", "2201.00057": "|[optimal representations for covariate shift](https://arxiv.org/abs/2201.00057)|[optdom](https://github.com/ryoungj/optdom)|\n"}, "2022-01-05": {"2103.12676": "|[self-supervised representation learning from 12-lead ecg data](https://arxiv.org/abs/2103.12676)|[ecg-selfsupervised](https://github.com/hhi-aml/ecg-selfsupervised)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2201.00650": "|[deep learning interviews: hundreds of fully solved job interview questions from a wide range of key topics in ai](https://arxiv.org/abs/2201.00650)|[interviews.ai](https://github.com/BoltzmannEntropy/interviews.ai)|\n"}, "2022-01-06": {"2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/gongxinyao/robust-photon-efficient-imaging-using-prsnet)|\n"}, "2022-01-07": {"2107.10294": "|[user-centric perspective in random access cell-free aided by spatial separability](https://arxiv.org/abs/2107.10294)|[cf-ra-spatial-separability](https://github.com/victorcroisfelt/cf-ra-spatial-separability)|\n", "2102.10324": "|[necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables](https://arxiv.org/abs/2102.10324)|[tigramite](https://github.com/jakobrunge/tigramite)|\n"}, "2022-01-08": {}, "2022-01-09": {}, "2022-01-10": {"2011.05506": "|[automatic open-world reliability assessment](https://arxiv.org/abs/2011.05506)|[Automatic-Open-World-Reliability-Assessment](https://github.com/ROBOTICSENGINEER/Automatic-Open-World-Reliability-Assessment)|\n", "2102.03814": "|[min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification](https://arxiv.org/abs/2102.03814)|[min2net](https://github.com/iobt-vistec/min2net)|\n"}, "2022-01-11": {"2108.00918": "|[communication-efficient federated learning via predictive coding](https://arxiv.org/abs/2108.00918)|[predictive-coding-fl](https://github.com/kai-yue/predictive-coding-fl)|\n", "2110.07471": "|[stability analysis of unfolded wmmse for power allocation](https://arxiv.org/abs/2110.07471)|[stability-uwmmse](https://github.com/archo48/stability-uwmmse)|\n", "2201.03211": "|[noisy neonatal chest sound separation for high-quality heart and lung sounds](https://arxiv.org/abs/2201.03211)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2201.03267": "|[a high-level track fusion scheme for circular quantities](https://arxiv.org/abs/2201.03267)|[circularfusionoperator](https://github.com/soerenkoh/circularfusionoperator)|\n", "2201.01741": "|[understanding entropy coding with asymmetric numeral systems (ans): a statistician's perspective](https://arxiv.org/abs/2201.01741)|[understanding-ans](https://github.com/bamler-lab/understanding-ans)|\n"}, "2022-01-12": {"2006.01169": "|[rnns on monitoring physical activity energy expenditure in older people](https://arxiv.org/abs/2006.01169)|[GOTOV_PAEE_publication](https://github.com/parastelios/GOTOV_PAEE_publication)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n"}, "2022-01-13": {"2004.11468": "|[how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series](https://arxiv.org/abs/2004.11468)|[uniqed](https://github.com/phrenico/uniqed)|\n", "2110.07136": "|[federated learning for covid-19 detection with generative adversarial networks in edge cloud computing](https://arxiv.org/abs/2110.07136)|[FL-GAN_COVID](https://github.com/dinhgit/FL-GAN_COVID)|\n", "2201.04471": "|[implementation of fgpa based channel sounder for large scale antenna systems using rfnoc on usrp platform](https://arxiv.org/abs/2201.04471)|[rfnoc-hls-winlab](https://github.com/xilinx/rfnoc-hls-winlab)|\n"}, "2022-01-14": {"2201.04125": "|[spectrum surveying: active radio map estimation with autonomous uavs](https://arxiv.org/abs/2201.04125)|[spectrum_surveying_with_uavs](https://github.com/uiano/spectrum_surveying_with_uavs)|\n", "2201.04784": "|[performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach](https://arxiv.org/abs/2201.04784)|[mmtc-noma](https://github.com/thanhluannguyen/mmtc-noma)|\n"}, "2022-01-15": {}, "2022-01-16": {}, "2022-01-17": {}, "2022-01-18": {}, "2022-01-19": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2107.06678": "|[optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2111.05496": "|[resnests and densenests: block-based dnn models with improved representation guarantees](https://arxiv.org/abs/2111.05496)|[resnest](https://github.com/kjason/resnest)|\n", "2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2112.10400": "|[sending timely status updates through channel with random delay via online learning](https://arxiv.org/abs/2112.10400)|[infocom2022](https://github.com/loveisbasa/infocom2022)|\n"}, "2022-01-20": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n"}, "2022-01-21": {}, "2022-01-22": {}, "2022-01-23": {}, "2022-01-24": {}, "2022-01-25": {"2103.02313": "|[open community platform for hearing aid algorithm research: open master hearing aid (openmha)](https://arxiv.org/abs/2103.02313)|[softx-d-21-00049](https://github.com/elseviersoftwarex/softx-d-21-00049)|\n", "2107.10043": "|[kalmannet: neural network aided kalman filtering for partially known dynamics](https://arxiv.org/abs/2107.10043)|[KalmanNet_TSP](https://github.com/KalmanNet/KalmanNet_TSP)|\n", "2109.03275": "|[a new non-negative matrix co-factorisation approach for noisy neonatal chest sound separation](https://arxiv.org/abs/2109.03275)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2109.15127": "|[real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications](https://arxiv.org/abs/2109.15127)|[heart-and-lung-signal-quality-estimation](https://github.com/egrooby-monash/heart-and-lung-signal-quality-estimation)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n", "2201.08994": "|[an unsupervised deep unrolling framework for constrained optimization problems in wireless networks](https://arxiv.org/abs/2201.08994)|[usrmnet-hwgcn](https://github.com/soulven/usrmnet-hwgcn)|\n"}, "2022-01-27": {"2105.13667": "|[grouped variable selection for generalized eigenvalue problems](https://arxiv.org/abs/2105.13667)|[benchmarkStudySensorSelection](https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection)|\n"}, "2022-01-26": {"2201.09934": "|[low complexity channel estimation with neural network solutions](https://arxiv.org/abs/2201.09934)|[Interpolation-ResNet](https://github.com/dianixn/Interpolation-ResNet)|\n", "2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n"}, "2022-01-28": {"2201.11308": "|[calibration with privacy in peer review](https://arxiv.org/abs/2201.11308)|[calibration-with-privacy-in-peer-review](https://github.com/wenxind/calibration-with-privacy-in-peer-review)|\n"}, "2022-01-29": {}, "2022-01-30": {}, "2022-01-31": {"2012.04542": "|[quantification of mismatch error in randomly switching linear state-space models](https://arxiv.org/abs/2012.04542)|[Switching-Kalman-Filter](https://github.com/ParissKK/Switching-Kalman-Filter)|\n", "2104.12356": "|[a tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology](https://arxiv.org/abs/2104.12356)|[GED_tutorial](https://github.com/mikexcohen/GED_tutorial)|\n", "2201.11983": "|[inertial navigation using an inertial sensor array](https://arxiv.org/abs/2201.11983)|[array-in](https://github.com/hcarlsso/array-in)|\n", "2201.12159": "|[stochastic optimization in digital pre-distortion of the signal](https://arxiv.org/abs/2201.12159)|[Sirius-2021-DPD-optimization](https://github.com/dmivilensky/Sirius-2021-DPD-optimization)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2022-02-01": {"2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2201.12634": "|[deep task-based analog-to-digital conversion](https://arxiv.org/abs/2201.12634)|[adc-learning-hyperopt](https://github.com/arielamar123/adc-learning-hyperopt)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n"}, "2022-02-02": {"2102.00927": "|[total least squares phase retrieval](https://arxiv.org/abs/2102.00927)|[tls_phase](https://github.com/swing-research/tls_phase)|\n", "2102.10506": "|[practical graph signal sampling with log-linear size scaling](https://arxiv.org/abs/2102.10506)|[graph-signal-sampling-avm](https://github.com/stac-usc/graph-signal-sampling-avm)|\n", "2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2110.05588": "|[deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering](https://arxiv.org/abs/2110.05588)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n", "2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2202.00589": "|[blind ecg restoration by operational cycle-gans](https://arxiv.org/abs/2202.00589)|[blind-ecg-restoration-by-operational-cycle-gans](https://github.com/ozercandevecioglu/blind-ecg-restoration-by-operational-cycle-gans)|\n", "2202.00129": "|[fundamental performance limits for sensor-based robot control and policy learning](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n", "2202.00136": "|[non-adaptive and two-stage coding over the z-channel](https://arxiv.org/abs/2202.00136)|[Z-channel_with_1_error](https://github.com/VorobyevIlya/Z-channel_with_1_error)|\n"}, "2022-02-03": {"2201.11222": "|[online change point detection for weighted and directed random dot product graphs](https://arxiv.org/abs/2201.11222)|[cpd_rdpg](https://github.com/git-artes/cpd_rdpg)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-02-04": {"2110.06048": "|[the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control](https://arxiv.org/abs/2110.06048)|[tknock](https://github.com/jasinmachkour/tknock)|\n", "2110.07308": "|[node-screening tests for l0-penalized least-squares problem with supplementary material](https://arxiv.org/abs/2110.07308)|[bnb-screening](https://gitlab.insa-rennes.fr/Theo.Guyard/bnb-screening)|\n", "2110.07570": "|[mgc: a complex-valued graph convolutional network for directed graphs](https://arxiv.org/abs/2110.07570)|[MGCs](https://github.com/hazdzz/MGCs)|\n", "2202.00738": "|[locunet: fast urban positioning using radio maps and deep learning](https://arxiv.org/abs/2202.00738)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2202.01646": "|[improving lyrics alignment through joint pitch detection](https://arxiv.org/abs/2202.01646)|[lyricsalignment-mtl](https://github.com/jhuang448/lyricsalignment-mtl)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-02-05": {}, "2022-02-06": {}, "2022-02-07": {"2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2202.01956": "|[maximum likelihood estimation of optimal receiver operating characteristic curves from likelihood ratio observations](https://arxiv.org/abs/2202.01956)|[mleroc](https://github.com/veggente/mleroc)|\n"}, "2022-02-08": {"2202.02673": "|[physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading](https://arxiv.org/abs/2202.02673)|[physfad](https://github.com/philipp-delhougne/physfad)|\n", "2202.02901": "|[inter-subject contrastive learning for subject adaptive eeg-based visual recognition](https://arxiv.org/abs/2202.02901)|[Deep-BCI](https://github.com/DeepBCI/Deep-BCI)|\n", "2202.03129": "|[over-the-air ensemble inference with model privacy](https://arxiv.org/abs/2202.03129)|[oac-based-private-ensembles](https://github.com/selimfirat/oac-based-private-ensembles)|\n", "2202.03224": "|[hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series](https://arxiv.org/abs/2202.03224)|[f1fashiondataset](https://github.com/etidav/f1fashiondataset)|\n", "2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "1805.08342": "|[nearest neighbor density functional estimation from inverse laplace transform](https://arxiv.org/abs/1805.08342)|[knn-functional-estimation](https://github.com/jongharyu/knn-functional-estimation)|\n", "2007.14900": "|[bayesian context trees: modelling and exact inference for discrete time series](https://arxiv.org/abs/2007.14900)|[Bayesian-Suffix-Trees](https://github.com/IoannisPapageorgiou/Bayesian-Suffix-Trees)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n", "2202.02406": "|[parameter-free online linear optimization with side information via universal coin betting](https://arxiv.org/abs/2202.02406)|[olo-with-side-information](https://github.com/jongharyu/olo-with-side-information)|\n", "2202.02812": "|[lossy gradient compression: how much accuracy can one bit buy?](https://arxiv.org/abs/2202.02812)|[fl_rd](https://github.com/sadafsk/fl_rd)|\n", "2202.03352": "|[analog secure distributed matrix multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n"}, "2022-02-09": {"2011.08562": "|[a deep neural network for ssvep-based brain-computer interfaces](https://arxiv.org/abs/2011.08562)|[Deep-SSVEP-BCI](https://github.com/osmanberke/Deep-SSVEP-BCI)|\n", "2110.04717": "|[rtsnet: deep learning aided kalman smoothing](https://arxiv.org/abs/2110.04717)|[rtsnet_icassp22](https://github.com/kalmannet/rtsnet_icassp22)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2202.03875": "|[unsupervised source separation via self-supervised training](https://arxiv.org/abs/2202.03875)|[mixcycle](https://github.com/ertug/mixcycle)|\n"}, "2022-02-10": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2110.04738": "|[uncertainty in data-driven kalman filtering for partially known state-space models](https://arxiv.org/abs/2110.04738)|[errcov_icassp22](https://github.com/kalmannet/errcov_icassp22)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2112.04075": "|[active sensing for communications by learning](https://arxiv.org/abs/2112.04075)|[dl-activesensing](https://github.com/foadsohrabi/dl-activesensing)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-02-11": {"2102.08329": "|[an information-theoretic justification for model pruning](https://arxiv.org/abs/2102.08329)|[SuRP](https://github.com/BerivanIsik/SuRP)|\n", "2202.05158": "|[sumo: advanced sleep spindle identification with neural networks](https://arxiv.org/abs/2202.05158)|[sumo](https://github.com/dslaborg/sumo)|\n"}, 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paths](https://arxiv.org/abs/2202.05343)|[coded-resnext](https://github.com/avranasa/coded-resnext)|\n", "2202.06365": "|[unsourced multiple access with random user activity](https://arxiv.org/abs/2202.06365)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n"}, "2022-02-16": {"2110.02878": "|[an investigation of the effectiveness of phase for audio classification](https://arxiv.org/abs/2110.02878)|[investigation-phase](https://github.com/onkyo14taro/investigation-phase)|\n", "2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[proximal-alt-min-for-uls-udgp](https://github.com/aabbas02/proximal-alt-min-for-uls-udgp)|\n", "2111.08177": "|[score-based generative models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n", "2202.03224": "|[hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series](https://arxiv.org/abs/2202.03224)|[f1fashiondataset](https://github.com/etidav/f1fashiondataset)|\n", "2202.00964": "|[understanding knowledge integration in language models with graph convolutions](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n"}, "2022-02-17": {"2110.03691": "|[direct design of biquad filter cascades with deep learning by sampling random polynomials](https://arxiv.org/abs/2110.03691)|[iirnet](https://github.com/csteinmetz1/iirnet)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2202.07884": "|[deep-learning-assisted configuration of reconfigurable intelligent surfaces in dynamic rich-scattering environments](https://arxiv.org/abs/2202.07884)|[deep_ris_tuning_for_rich_scattering_environments](https://github.com/noesyslab/deep_ris_tuning_for_rich_scattering_environments)|\n", "2202.07895": "|[enhancing causal estimation through unlabeled offline data](https://arxiv.org/abs/2202.07895)|[enhancing-causal-estimations](https://github.com/ronteichner/enhancing-causal-estimations)|\n"}, "2022-02-18": {"1911.03314": "|[fann-on-mcu: an open-source toolkit for energy-efficient neural network inference at the edge of the internet of things](https://arxiv.org/abs/1911.03314)|[fann-on-mcu](https://github.com/pulp-platform/fann-on-mcu)|\n", "2107.10294": "|[user-centric perspective in random access cell-free aided by spatial separability](https://arxiv.org/abs/2107.10294)|[cf-ra-spatial-separability](https://github.com/victorcroisfelt/cf-ra-spatial-separability)|\n", "2111.07017": "|[delay-oriented distributed scheduling using graph neural networks](https://arxiv.org/abs/2111.07017)|[gcn-dql](https://github.com/zhongyuanzhao/gcn-dql)|\n", "2202.08538": "|[two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images](https://arxiv.org/abs/2202.08538)|[2d-structure-functions](https://github.com/cgranerob/2d-structure-functions)|\n"}, "2022-02-19": {}, "2022-02-20": {}, "2022-02-22": {"2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.00704": "|[a novel 1d state space for efficient music rhythmic analysis](https://arxiv.org/abs/2111.00704)|[1d-statespace](https://github.com/mjhydri/1d-statespace)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n", "2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2202.10371": "|[coordinated sum-rate maximization in multicell mu-mimo with deep unrolling](https://arxiv.org/abs/2202.10371)|[gcnwmmse](https://github.com/lsky96/gcnwmmse)|\n", "2106.12627": "|[provably efficient machine learning for quantum many-body problems](https://arxiv.org/abs/2106.12627)|[provable-ml-quantum](https://github.com/hsinyuan-huang/provable-ml-quantum)|\n"}, "2022-02-21": {"2107.09507": "|[eeg-based cross-subject driver drowsiness recognition with an interpretable convolutional neural network](https://arxiv.org/abs/2107.09507)|[eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn](https://github.com/cuijiancorbin/eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn)|\n", "2109.05107": "|[feasibility of modeling orthogonal frequency-division multiplexing communication signals with unsupervised generative adversarial networks](https://arxiv.org/abs/2109.05107)|[ofdm-gan](https://github.com/usnistgov/ofdm-gan)|\n", "2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n"}, "2022-02-23": {"2007.11869": "|[an experimental mmwave channel model for uav-to-uav communications](https://arxiv.org/abs/2007.11869)|[uav-to-uav-60-ghz-channel-model](https://github.com/wineslab/uav-to-uav-60-ghz-channel-model)|\n", "2108.02541": "|[foundations of user-centric cell-free massive mimo](https://arxiv.org/abs/2108.02541)|[cell-free-book](https://github.com/emilbjornson/cell-free-book)|\n", "2111.04433": "|[rawboost: a raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing](https://arxiv.org/abs/2111.04433)|[RawBoost-antispoofing](https://github.com/TakHemlata/RawBoost-antispoofing)|\n", "2106.14866": "|[learning from an exploring demonstrator: optimal reward estimation for bandits](https://arxiv.org/abs/2106.14866)|[inverse-bandit-code-release](https://github.com/wenshuoguo/inverse-bandit-code-release)|\n", "2202.11042": "|[fasura: a scheme for quasi-static massive mimo unsourced random access channels](https://arxiv.org/abs/2202.11042)|[mmtc](https://github.com/engprojects/mmtc)|\n"}, "2022-02-24": {}, "2022-02-25": {"2202.12199": "|[detection by sampling: massive mimo detector based on langevin dynamics](https://arxiv.org/abs/2202.12199)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2006.00987": "|[quantum circuit design for universal distribution using a superposition of classical automata](https://arxiv.org/abs/2006.00987)|[QuBio](https://github.com/Advanced-Research-Centre/QuBio)|\n"}, "2022-02-26": {}, "2022-02-27": {}, "2022-02-28": {"2110.03448": "|[multi-head relu implicit neural representation networks](https://arxiv.org/abs/2110.03448)|[mh-relu-inr](https://github.com/alirezamorsali/mh-relu-inr)|\n", "2110.04683": "|[mixture model auto-encoders: deep clustering through dictionary learning](https://arxiv.org/abs/2110.04683)|[mixmate](https://github.com/al5250/mixmate)|\n", "2110.05606": "|[nearest subspace search in the signed cumulative distribution transform space for 1d signal classification](https://arxiv.org/abs/2110.05606)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2202.12380": "|[fast matching pursuit with multi-gabor dictionaries](https://arxiv.org/abs/2202.12380)|[fastmpwithmultigabor](https://github.com/ltfat/fastmpwithmultigabor)|\n", "2108.11345": "|[a unifying theory of thompson sampling for continuous risk-averse bandits](https://arxiv.org/abs/2108.11345)|[continuous-rho-ts](https://github.com/joel-ql-chang/continuous-rho-ts)|\n"}, "2022-03-01": {"2107.07596": "|[depth estimation from monocular images and sparse radar using deep ordinal regression network](https://arxiv.org/abs/2107.07596)|[DORN_radar](https://github.com/lochenchou/DORN_radar)|\n", "2202.12936": "|[automated parkinson's disease detection and affective analysis from emotional eeg signals](https://arxiv.org/abs/2202.12936)|[pd-eeg](https://github.com/ravikiranrao/pd-eeg)|\n", "2202.13651": "|[signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors](https://arxiv.org/abs/2202.13651)|[ppg_sim_snr_fs](https://github.com/kismed-tuda/ppg_sim_snr_fs)|\n", "2202.13757": "|[fast off-the-grid sparse recovery with over-parametrized projected gradient descent](https://arxiv.org/abs/2202.13757)|[opcomp_sparse_recovery](https://github.com/pjbenard/opcomp_sparse_recovery)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2202.13491": "|[sparsity-aware neural user behavior modeling in online interaction platforms](https://arxiv.org/abs/2202.13491)|[Inf-VAE](https://github.com/aravindsankar28/Inf-VAE)|\n", "2202.13576": "|[kl divergence estimation with multi-group attribution](https://arxiv.org/abs/2202.13576)|[multigroup-kl](https://github.com/vatsalsharan/multigroup-kl)|\n"}, "2022-03-02": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2203.00266": "|[phycom: a multi-layer parametric network for joint linear impairments compensation and symbol detection](https://arxiv.org/abs/2203.00266)|[PhyCOM](https://github.com/vincentchoqueuse/PhyCOM)|\n", "2001.11212": "|[tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions](https://arxiv.org/abs/2001.11212)|[tcmi](https://github.com/BenjaminRegler/tcmi)|\n"}, "2022-03-03": {"2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[MLOPF.jl](https://github.com/tdfalc/MLOPF.jl)|\n", "2112.02890": "|[a fast and scalable polyatomic frank-wolfe algorithm for the lasso](https://arxiv.org/abs/2112.02890)|[PolyatomicFW_SPL](https://github.com/AdriaJ/PolyatomicFW_SPL)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2203.00952": "|[sketched rt3d: how to reconstruct billions of photons per second](https://arxiv.org/abs/2203.00952)|[real-time-sp-lidar](https://gitlab.com/tachella/real-time-sp-lidar)|\n"}, "2022-03-04": {"2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n"}, "2022-03-05": {}, "2022-03-06": {}, "2022-03-07": {"2107.09518": "|[relay-assisted cooperative federated learning](https://arxiv.org/abs/2107.09518)|[relay-fl](https://github.com/zhlinup/relay-fl)|\n", "2202.08538": "|[two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images](https://arxiv.org/abs/2202.08538)|[2d-structure-functions](https://github.com/cgranerob/2d-structure-functions)|\n", "2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/bingzant/beats)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2203.02064": "|[programmable optical data transmission through multimode fibres enabling confidentiality by physical layer security](https://arxiv.org/abs/2203.02064)|[mmf-physec](https://github.com/klb2/mmf-physec)|\n"}, "2022-03-08": {"2010.12632": "|[biologically plausible single-layer networks for nonnegative independent component analysis](https://arxiv.org/abs/2010.12632)|[bio-nica](https://github.com/flatironinstitute/bio-nica)|\n", "2106.16194": "|[decentralized beamforming for cell-free massive mimo with unsupervised learning](https://arxiv.org/abs/2106.16194)|[CF-mMIMO-HBF](https://github.com/HamedHojatian/CF-mMIMO-HBF)|\n", "2110.00414": "|[predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation](https://arxiv.org/abs/2110.00414)|[scalar-channel-meta-prediction](https://github.com/kclip/scalar-channel-meta-prediction)|\n", "2112.05694": "|[unrolling palm for sparse semi-blind source separation](https://arxiv.org/abs/2112.05694)|[lpalm](https://github.com/mfahes/lpalm)|\n", "2112.06074": "|[early stopping for deep image prior](https://arxiv.org/abs/2112.06074)|[early_stopping_for_dip](https://github.com/sun-umn/early_stopping_for_dip)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2203.03166": "|[hrtf measurement for accurate identification of binaural sound localization cues](https://arxiv.org/abs/2203.03166)|[hrtf-construction](https://github.com/hansaram80/hrtf-construction)|\n"}, "2022-03-09": {"2102.00742": "|[reconfigurable intelligent surfaces: a signal processing perspective with wireless applications](https://arxiv.org/abs/2102.00742)|[spm_ris](https://github.com/emilbjornson/spm_ris)|\n", "2110.06048": "|[the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control](https://arxiv.org/abs/2110.06048)|[tknock](https://github.com/jasinmachkour/tknock)|\n", "2201.04756": "|[roadside lidar vehicle detection and tracking using range and intensity background subtraction](https://arxiv.org/abs/2201.04756)|[roadside-lidar-vehicle-detection-and-tracking-background-subtraction](https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction)|\n", "2007.06795": "|[coding theory package for macaulay2](https://arxiv.org/abs/2007.06795)|[Workshop-2020-Cleveland](https://github.com/Macaulay2/Workshop-2020-Cleveland)|\n", "2110.05794": "|[information theoretic structured generative modeling](https://arxiv.org/abs/2110.05794)|[structured-generative-modeling](https://github.com/bohu615/structured-generative-modeling)|\n", "2202.11042": "|[fasura: a scheme for quasi-static massive mimo unsourced random access channels](https://arxiv.org/abs/2202.11042)|[mmtc](https://github.com/engprojects/mmtc)|\n"}, "2022-03-10": {}, "2022-03-11": {"2203.02380": "|[exploring scalable, distributed real-time anomaly detection for bridge health monitoring](https://arxiv.org/abs/2203.02380)|[real_time_bhm](https://github.com/miirho3ein/real_time_bhm)|\n"}, "2022-03-12": {}, "2022-03-13": {}, "2022-03-14": {"2107.10043": "|[kalmannet: neural network aided kalman filtering for partially known dynamics](https://arxiv.org/abs/2107.10043)|[KalmanNet_TSP](https://github.com/KalmanNet/KalmanNet_TSP)|\n", "1805.08342": "|[nearest neighbor density functional estimation from inverse laplace transform](https://arxiv.org/abs/1805.08342)|[knn-functional-estimation](https://github.com/jongharyu/knn-functional-estimation)|\n"}, "2022-03-15": {"2104.08336": "|[self-supervised graph neural networks for improved electroencephalographic seizure analysis](https://arxiv.org/abs/2104.08336)|[eeg-gnn-ssl](https://github.com/tsy935/eeg-gnn-ssl)|\n", "2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n", "2203.06997": "|[modelling non-smooth signals with complex spectral structure](https://arxiv.org/abs/2203.06997)|[gpcm](https://github.com/wesselb/gpcm)|\n", "1908.08642": "|[a novel approach to the partial information decomposition](https://arxiv.org/abs/1908.08642)|[redundancy](https://github.com/artemyk/redundancy)|\n"}, "2022-03-16": {"2110.04124": "|[ensemble neural representation networks](https://arxiv.org/abs/2110.04124)|[enrp](https://github.com/alirezamorsali/enrp)|\n", "2110.09759": "|[a regularization method to improve adversarial robustness of neural networks for ecg signal classification](https://arxiv.org/abs/2110.09759)|[robust_dnn_for_ecg](https://github.com/sarielma/robust_dnn_for_ecg)|\n", "2203.07703": "|[benchmarking and interpreting end-to-end learning of mimo and multi-user communication](https://arxiv.org/abs/2203.07703)|[DeepLearning_MIMO](https://github.com/JSChalmers/DeepLearning_MIMO)|\n", "2203.07902": "|[generalized rectifier wavelet covariance models for texture synthesis](https://arxiv.org/abs/2203.07902)|[wavelet-texture-synthesis](https://github.com/abrochar/wavelet-texture-synthesis)|\n", "1802.05843": "|[minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification](https://arxiv.org/abs/1802.05843)|[Network-Robustness-by-Kolmogorov-Complexity](https://github.com/andandandand/Network-Robustness-by-Kolmogorov-Complexity)|\n", "2201.00057": "|[optimal representations for covariate shift](https://arxiv.org/abs/2201.00057)|[optdom](https://github.com/ryoungj/optdom)|\n", "2201.02664": "|[optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory](https://arxiv.org/abs/2201.02664)|[compressed_communication](https://github.com/google-research/federated/tree/1b31b84/compressed_communication)|\n", "2203.07752": "|[optimal denoising of rotationally invariant rectangular matrices](https://arxiv.org/abs/2203.07752)|[rectangular_rie](https://github.com/penombraet/rectangular_rie)|\n"}, "2022-03-17": {"2111.12855": "|[robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements](https://arxiv.org/abs/2111.12855)|[rei](https://github.com/edongdongchen/rei)|\n", "2111.11632": "|[lossless compression with probabilistic circuits](https://arxiv.org/abs/2111.11632)|[pressedjuice.jl](https://github.com/juice-jl/pressedjuice.jl)|\n"}, "2022-03-18": {"2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n"}, "2022-03-19": {}, "2022-03-20": {}, "2022-03-21": {"2203.06889": "|[lead-agnostic self-supervised learning for local and global representations of electrocardiogram](https://arxiv.org/abs/2203.06889)|[fairseq-signals](https://github.com/jwoo5/fairseq-signals)|\n", "2203.09693": "|[generative principal component analysis](https://arxiv.org/abs/2203.09693)|[GenerativePCA](https://github.com/liuzq09/GenerativePCA)|\n"}, "2022-03-22": {"2110.05283": "|[phase collapse in neural networks](https://arxiv.org/abs/2110.05283)|[phasecollapse](https://github.com/florentinguth/phasecollapse)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.12066": "|[physics informed neural networks for control oriented thermal modeling of buildings](https://arxiv.org/abs/2111.12066)|[physnet_thermal_models](https://github.com/gargyagokhale/physnet_thermal_models)|\n", "2203.10219": "|[efficient doa estimation method for reconfigurable intelligent surfaces aided uav swarm](https://arxiv.org/abs/2203.10219)|[adpp](https://github.com/chenpengseu/adpp)|\n", "2203.10231": "|[sdoanet: an efficient deep learning-based doa estimation network for imperfect array](https://arxiv.org/abs/2203.10231)|[sdoanet](https://github.com/chenpengseu/sdoanet)|\n", "2203.10800": "|[graph neural networks for wireless communications: from theory to practice](https://arxiv.org/abs/2203.10800)|[gnn4com](https://github.com/yshenaw/gnn4com)|\n", "2203.11012": "|[learning resilient radio resource management policies with graph neural networks](https://arxiv.org/abs/2203.11012)|[Resilient_RRM_GNN](https://github.com/navid-naderi/Resilient_RRM_GNN)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n"}, "2022-03-23": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2203.11854": "|[sionna: an open-source library for next-generation physical layer research](https://arxiv.org/abs/2203.11854)|[sionna](https://github.com/nvlabs/sionna)|\n"}, "2022-03-24": {"2105.02786": "|[lggnet: learning from local-global-graph representations for brain-computer interface](https://arxiv.org/abs/2105.02786)|[LGG](https://github.com/yi-ding-cs/LGG)|\n", "2203.09723": "|[estimation of consistent time delays in subsample via auxiliary-function-based iterative updates](https://arxiv.org/abs/2203.09723)|[auxtde](https://github.com/onolab-tmu/auxtde)|\n", "2203.12590": "|[transsleep: transitioning-aware attention-based deep neural network for sleep staging](https://arxiv.org/abs/2203.12590)|[transsleep](https://github.com/ku-milab/transsleep)|\n", "2203.12594": "|[deep learning based intelligent coin-tap test for defect recognition](https://arxiv.org/abs/2203.12594)|[torch-tapnet](https://github.com/pphub-hy/torch-tapnet)|\n", "2203.12595": "|[physiomtl: personalizing physiological patterns using optimal transport multi-task regression](https://arxiv.org/abs/2203.12595)|[mmash](https://github.com/rossialessio/mmash)|\n", "2104.07006": "|[fast quantum state reconstruction via accelerated non-convex programming](https://arxiv.org/abs/2104.07006)|[MiFGD](https://github.com/gidiko/MiFGD)|\n", "2109.02914": "|[scale-invariant representation of machine learning](https://arxiv.org/abs/2109.02914)|[powerlaw_ml](https://github.com/sungyeop/powerlaw_ml)|\n", "2203.12265": "|[node representation learning in graph via node-to-neighbourhood mutual information maximization](https://arxiv.org/abs/2203.12265)|[n2n](https://github.com/dongwei156/n2n)|\n", "2203.12336": "|[the impact of partial packet recovery on the inherent secrecy of random linear coding](https://arxiv.org/abs/2203.12336)|[vtc2022-spring](https://github.com/ioannischatzigeorgiou/vtc2022-spring)|\n"}, "2022-03-25": {"2203.13216": "|[complex frequency domain linear prediction: a tool to compute modulation spectrum of speech](https://arxiv.org/abs/2203.13216)|[fdlp_spectrogram](https://github.com/sadhusamik/fdlp_spectrogram)|\n", "2109.06248": "|[distilling ghz states using stabilizer codes](https://arxiv.org/abs/2109.06248)|[ghz_distillation_qec](https://github.com/nrenga/ghz_distillation_qec)|\n"}, "2022-03-26": {}, "2022-03-27": {}, "2022-03-28": {"2203.13508": "|[bddm: bilateral denoising diffusion models for fast and high-quality speech synthesis](https://arxiv.org/abs/2203.13508)|[bddm](https://github.com/tencent-ailab/bddm)|\n"}, "2022-03-29": {"2007.05177": "|[deep unfolding basis pursuit: improving sparse channel reconstruction via data-driven measurement matrices](https://arxiv.org/abs/2007.05177)|[DeepBP-AE](https://github.com/pengxiawu/DeepBP-AE)|\n", "2107.09539": "|[parametric scattering networks](https://arxiv.org/abs/2107.09539)|[ParametricScatteringNetworks](https://github.com/bentherien/ParametricScatteringNetworks)|\n", "2203.14158": "|[predicting the impact of formation protocols on battery lifetime immediately after manufacturing](https://arxiv.org/abs/2203.14158)|[fast-formation](https://github.com/wengandrew/fast-formation)|\n", "2203.14339": "|[distributed link sparsification for scalable scheduling using graph neural networks](https://arxiv.org/abs/2203.14339)|[gcn-sparsify](https://github.com/zhongyuanzhao/gcn-sparsify)|\n", "2203.14359": "|[online meta-learning for hybrid model-based deep receivers](https://arxiv.org/abs/2203.14359)|[metadeepsic](https://github.com/tomerraviv95/metadeepsic)|\n", "2203.14907": "|[q-ppg: energy-efficient ppg-based heart rate monitoring on wearable devices](https://arxiv.org/abs/2203.14907)|[q-ppg](https://github.com/embeddedml-edagroup/q-ppg)|\n", "2203.14941": "|[neural vocoder is all you need for speech super-resolution](https://arxiv.org/abs/2203.14941)|[ssr_eval](https://github.com/haoheliu/ssr_eval)|\n"}, "2022-03-30": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2111.12066": "|[physics informed neural networks for control oriented thermal modeling of buildings](https://arxiv.org/abs/2111.12066)|[physnet_thermal_models](https://github.com/gargyagokhale/physnet_thermal_models)|\n", "2203.15147": "|[separate what you describe: language-queried audio source separation](https://arxiv.org/abs/2203.15147)|[lass](https://github.com/liuxubo717/lass)|\n", "2203.15250": "|[analysis of eeg frequency bands for envisioned speech recognition](https://arxiv.org/abs/2203.15250)|[imaginedspeechrecognition](https://github.com/ayushayt/imaginedspeechrecognition)|\n", "2203.15488": "|[over-the-air federated learning via second-order optimization](https://arxiv.org/abs/2203.15488)|[AirFL-2nd](https://github.com/Golden-Slumber/AirFL-2nd)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-03-31": {"2002.08108": "|[common information, matroid representation, and secret sharing for matroid ports](https://arxiv.org/abs/2002.08108)|[common-information-and-matroid-ports](https://github.com/bmilosh/common-information-and-matroid-ports)|\n", "2109.12497": "|[unbiased single-scale and multi-scale quantizers for distributed optimization](https://arxiv.org/abs/2109.12497)|[Gradient-Compression](https://github.com/vineeths96/Gradient-Compression)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n"}, "2022-04-01": {"2106.00404": "|[single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames](https://arxiv.org/abs/2106.00404)|[compressive_imaging_in_si_spaces](https://github.com/retiro/compressive_imaging_in_si_spaces)|\n", "2202.12650": "|[time-coded spiking fourier transform in neuromorphic hardware](https://arxiv.org/abs/2202.12650)|[time-coded-SFT](https://github.com/KI-ASIC-TUM/time-coded-SFT)|\n", "2203.16940": "|[direction of arrival estimation of sound sources using icosahedral cnns](https://arxiv.org/abs/2203.16940)|[icodoa](https://github.com/daviddiazguerra/icodoa)|\n", "2203.17024": "|[vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection](https://arxiv.org/abs/2203.17024)|[vqf](https://github.com/dlaidig/vqf)|\n", "2203.17028": "|[differentially private federated learning via reconfigurable intelligent surface](https://arxiv.org/abs/2203.17028)|[fl_privacy_blockcrossing](https://github.com/mengcongwo/fl_privacy_blockcrossing)|\n", "2203.17256": "|[lead1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings](https://arxiv.org/abs/2203.17256)|[lead-dataset](https://github.com/samy101/lead-dataset)|\n"}, "2022-04-02": {}, "2022-04-03": {}, "2022-04-04": {"2203.16114": "|[a fast transformer-based general-purpose lossless compressor](https://arxiv.org/abs/2203.16114)|[a-fast-transformer-based-general-purpose-losslesscompressor](https://github.com/mynotwo/a-fast-transformer-based-general-purpose-losslesscompressor)|\n", "2204.00148": "|[robust remote estimation over the collision channel in the presence of an intelligent jammer](https://arxiv.org/abs/2204.00148)|[cdc22](https://github.com/mullervasconcelos/cdc22)|\n"}, "2022-04-05": {"2010.09858": "|[vehicular visible light positioning for collision avoidance and platooning: a survey](https://arxiv.org/abs/2010.09858)|[vehicular-vlp-simulations](https://github.com/sonebu/vehicular-vlp-simulations)|\n", "2105.06293": "|[electrocardio panorama: synthesizing new ecg views with self-supervision](https://arxiv.org/abs/2105.06293)|[Electrocardio-Panorama](https://github.com/WhatAShot/Electrocardio-Panorama)|\n", "2109.02165": "|[fbdnn: filter banks and deep neural networks for portable and fast brain-computer interfaces](https://arxiv.org/abs/2109.02165)|[fbcnn](https://github.com/pedrorasb/fbcnn)|\n", "2111.07480": "|[power allocation for wireless federated learning using graph neural networks](https://arxiv.org/abs/2111.07480)|[wirelessfl-pdgnet](https://github.com/bl166/wirelessfl-pdgnet)|\n", "2204.00769": "|[variational message passing for online polynomial narmax identification](https://arxiv.org/abs/2204.00769)|[acc2022-vmpnarmax](https://github.com/biaslab/acc2022-vmpnarmax)|\n"}, "2022-04-06": {"2103.02215": "|[the generalized method of moments for multi-reference alignment](https://arxiv.org/abs/2103.02215)|[gmm-cryo](https://github.com/abasasa/gmm-cryo)|\n", "2104.04569": "|[patient contrastive learning: a performant, expressive, and practical approach to ecg modeling](https://arxiv.org/abs/2104.04569)|[ml4h](https://github.com/broadinstitute/ml4h)|\n", "2204.01731": "|[gan-based joint activity detection and channel estimation for grant-free random access](https://arxiv.org/abs/2204.01731)|[jadce](https://github.com/deeeeeeplearning/jadce)|\n"}, "2022-04-07": {"2203.03166": "|[hrtf measurement for accurate sound localization cues](https://arxiv.org/abs/2203.03166)|[hrtf-hats-kaist](https://github.com/han-saram/hrtf-hats-kaist)|\n", "2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-04-08": {"2204.01830": "|[wifieye -- seeing over wifi made accessible](https://arxiv.org/abs/2204.01830)|[wifieye](https://github.com/pkindt/wifieye)|\n", "2204.03272": "|[muleeg: a multi-view representation learning on eeg signals](https://arxiv.org/abs/2204.03272)|[muleeg](https://github.com/likith012/muleeg)|\n", "2204.03343": "|[binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations](https://arxiv.org/abs/2204.03343)|[WarpedGaussianProcesses](https://github.com/ShunanSheng/WarpedGaussianProcesses)|\n", "2204.03564": "|[rf signal transformation and classification using deep neural networks](https://arxiv.org/abs/2204.03564)|[rf_classification](https://github.com/umarkhalidcs/rf_classification)|\n", "2204.03316": "|[structured gradient descent for fast robust low-rank hankel matrix completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n"}, "2022-04-09": {}, "2022-04-10": {}, "2022-04-11": {"2105.07917": "|[cnn-based approaches for cross-subject classification in motor imagery: from the state-of-the-art to dynamicnet](https://arxiv.org/abs/2105.07917)|[Dynamic-PyTorch-Net](https://github.com/jesus-333/Dynamic-PyTorch-Net)|\n", "2111.08463": "|[multi-centroid hyperdimensional computing approach for epileptic seizure detection](https://arxiv.org/abs/2111.08463)|[](https://c4science.ch/source/MultiCentroidHD_public/)|\n", "2204.03711": "|[deconvolution of the functional ultrasound response in the mouse visual pathway using block-term decomposition](https://arxiv.org/abs/2204.03711)|[btd_deconv](https://github.com/ayerol/btd_deconv)|\n", "2204.04155": "|[design of an optimal testbed for tracking of tagged marine megafauna](https://arxiv.org/abs/2204.04155)|[receiver-deployment](https://github.com/kerentalmon/receiver-deployment)|\n", "2204.04170": "|[automatic data augmentation selection and parametrization in contrastive self-supervised speech representation learning](https://arxiv.org/abs/2204.04170)|[augmentations](https://github.com/salah-zaiem/augmentations)|\n", "2103.00078": "|[recovering or testing extended-affine equivalence](https://arxiv.org/abs/2103.00078)|[EA_equivalence_for_quadratic_functions](https://github.com/alaincouvreur/EA_equivalence_for_quadratic_functions)|\n"}, "2022-04-26": {"1912.12566": "|[experiments with mmwave automotive radar test-bed](https://arxiv.org/abs/1912.12566)|[mmWave-radar-signal-processing-and-microDoppler-classification](https://github.com/Xiangyu-Gao/mmWave-radar-signal-processing-and-microDoppler-classification)|\n", "2104.11467": "|[probabilistic rainfall estimation from automotive lidar](https://arxiv.org/abs/2104.11467)|[rainfall_modeling_open](https://github.com/tier4/rainfall_modeling_open)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2204.11626": "|[a ris-based passive doa estimation method for integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n"}, "2022-04-25": {"2204.10428": "|[sinr: deconvolving circular sas images using implicit neural representations](https://arxiv.org/abs/2204.10428)|[csas_deconvolution_inr](https://github.com/awreed/csas_deconvolution_inr)|\n"}, "2022-04-24": {}, "2022-04-23": {}, "2022-04-22": {"2204.09938": "|[ultra marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n"}, "2022-04-21": {"2010.11991": "|[atlas fusion -- modern framework for autonomous agent sensor data fusion](https://arxiv.org/abs/2010.11991)|[Atlas-Fusion](https://github.com/Robotics-BUT/Atlas-Fusion)|\n", "2106.15842": "|[dual aspect self-attention based on transformer for remaining useful life prediction](https://arxiv.org/abs/2106.15842)|[dast](https://github.com/zzzsdu/dast)|\n", "2201.00869": "|[rewis: reliable wi-fi sensing through few-shot multi-antenna multi-receiver csi learning](https://arxiv.org/abs/2201.00869)|[rewis](https://github.com/niloobah/rewis)|\n", "2203.14639": "|[syncnet: using causal convolutions and correlating objective for time delay estimation in audio signals](https://arxiv.org/abs/2203.14639)|[2022_syncnet](https://github.com/madhavlab/2022_syncnet)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2204.09599": "|[radiology text analysis system (radtext): architecture and evaluation](https://arxiv.org/abs/2204.09599)|[radtext](https://github.com/bionlplab/radtext)|\n"}, "2022-04-27": {"2107.04395": "|[block alternating bregman majorization minimization with extrapolation](https://arxiv.org/abs/2107.04395)|[BMME](https://github.com/LeThiKhanhHien/BMME)|\n", "2204.12432": "|[encoding cardiopulmonary exercise testing time series as images for classification using convolutional neural network](https://arxiv.org/abs/2204.12432)|[multivariatetimeseries](https://github.com/yashsharma/multivariatetimeseries)|\n"}, "2022-04-28": {"2007.07679": "|[1-bit compressive sensing via approximate message passing with built-in parameter estimation](https://arxiv.org/abs/2007.07679)|[1Bit-CS](https://github.com/shuai-huang/1Bit-CS)|\n", "2108.10213": "|[salience: an unsupervised user adaptation model for multiple wearable sensors based human activity recognition](https://arxiv.org/abs/2108.10213)|[SALIENCE](https://github.com/wdkhuans/SALIENCE)|\n", "2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[MLOPF.jl](https://github.com/tdfalc/MLOPF.jl)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n"}, "2022-04-29": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2204.13465": "|[attention based neural networks for wireless channel estimation](https://arxiv.org/abs/2204.13465)|[Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation](https://github.com/dianixn/Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation)|\n", "2204.13424": "|[interpretable collective intelligence of non-rational human agents](https://arxiv.org/abs/2204.13424)|[collective-intelligence-research](https://github.com/nicknick85/collective-intelligence-research)|\n"}, "2022-04-30": {}, "2022-05-01": {}, "2022-05-02": {"2011.08981": "|[ramp-cnn: a novel neural network for enhanced automotive radar object recognition](https://arxiv.org/abs/2011.08981)|[radar-multiple-perspective-object-detection](https://github.com/xiangyu-gao/radar-multiple-perspective-object-detection)|\n", "2110.02878": "|[an investigation of the effectiveness of phase for audio classification](https://arxiv.org/abs/2110.02878)|[investigation-phase](https://github.com/onkyo14taro/investigation-phase)|\n", "2104.08685": "|[linguistic dependencies and statistical dependence](https://arxiv.org/abs/2104.08685)|[cpmi-dependencies](https://github.com/mcqll/cpmi-dependencies)|\n"}, "2022-05-03": {"2102.11895": "|[mgait: model-based gait analysis using wearable bend and inertial sensors](https://arxiv.org/abs/2102.11895)|[mgait](https://github.com/sizhean/mgait)|\n", "2205.00222": "|[storseismic: a new paradigm in deep learning for seismic processing](https://arxiv.org/abs/2205.00222)|[storseismic](https://github.com/swag-kaust/storseismic)|\n", "2205.00348": "|[end-to-end signal classification in signed cumulative distribution transform space](https://arxiv.org/abs/2205.00348)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2205.01030": "|[gmss: graph-based multi-task self-supervised learning for eeg emotion recognition](https://arxiv.org/abs/2205.01030)|[gmss](https://github.com/chen-xdu/gmss)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n", "2205.00477": "|[ridgeless regression with random features](https://arxiv.org/abs/2205.00477)|[ridgeless-regression-with-random-features](https://github.com/superlj666/ridgeless-regression-with-random-features)|\n"}, "2022-05-04": {"2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2012.12298": "|[zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge](https://arxiv.org/abs/2012.12298)|[gwhf](https://github.com/gkoliander/gwhf)|\n", "2205.01607": "|[modeling and correcting bias in sequential evaluation](https://arxiv.org/abs/2205.01607)|[sequential-bias](https://github.com/jingyanw/sequential-bias)|\n"}, "2022-05-05": {"2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "1906.12072": "|[multiple testing and variable selection along the path of the least angle regression](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n", "2112.13079": "|[aligning random graphs with a sub-tree similarity message-passing algorithm](https://arxiv.org/abs/2112.13079)|[graph_alignment](https://github.com/giovannipiccioli/graph_alignment)|\n"}, "2022-05-06": {"2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[POVAR.jl](https://github.com/gdalle/POVAR.jl)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-05-07": {}, "2022-05-08": {}, "2022-05-09": {"2104.05614": "|[a dynamic response recovery framework using ambient synchrophasor data](https://arxiv.org/abs/2104.05614)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n", "2202.00129": "|[fundamental performance limits for sensor-based robot control and policy learning](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n"}, "2022-05-10": {"2106.15276": "|[using a drone sounder to measure channels for cell-free massive mimo systems](https://arxiv.org/abs/2106.15276)|[CF-mMIMO](https://github.com/tomathchoi/CF-mMIMO)|\n", "2205.03812": "|[hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels](https://arxiv.org/abs/2205.03812)|[DPGMM-Channel-Modelling](https://github.com/erhankarakoca/DPGMM-Channel-Modelling)|\n", "2205.03343": "|[far from asymptopia](https://arxiv.org/abs/2205.03343)|[atomicpriors.jl](https://github.com/mcabbott/atomicpriors.jl)|\n"}, "2022-05-11": {"2105.01696": "|[learning to continuously optimize wireless resource in a dynamic environment: a bilevel optimization perspective](https://arxiv.org/abs/2105.01696)|[TSP_CL](https://github.com/Haoran-S/TSP_CL)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[aoienergyuavtraopt](https://github.com/yuanliaoo/aoienergyuavtraopt)|\n", "2205.03665": "|[variational sparse coding with learned thresholding](https://arxiv.org/abs/2205.03665)|[variational-sparse-coding](https://github.com/kfallah/variational-sparse-coding)|\n", "2205.03673": "|[gridwarm: towards practical physics-informed ml design and evaluation for power grid](https://arxiv.org/abs/2205.03673)|[gridwarm](https://github.com/ohcindy/gridwarm)|\n", "2205.03793": "|[pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces](https://arxiv.org/abs/2205.03793)|[drl_ris_tutorial](https://github.com/noesyslab/drl_ris_tutorial)|\n", "2012.12298": "|[zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge](https://arxiv.org/abs/2012.12298)|[gwhf](https://github.com/gkoliander/gwhf)|\n", "2205.04860": "|[universal caching](https://arxiv.org/abs/2205.04860)|[universalcaching](https://github.com/ativjoshi/universalcaching)|\n"}, "2022-05-12": {"2202.05158": "|[advanced sleep spindle identification with neural networks](https://arxiv.org/abs/2202.05158)|[sumo](https://github.com/dslaborg/sumo)|\n", "2205.05269": "|[intelligent reflecting surface configurations for smart radio using deep reinforcement learning](https://arxiv.org/abs/2205.05269)|[irsconfigurationdrl](https://github.com/weiwang-wys/irsconfigurationdrl)|\n", "2205.05474": "|[deepfilternet2: towards real-time speech enhancement on embedded devices for full-band audio](https://arxiv.org/abs/2205.05474)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n"}, "2022-05-13": {"2205.05776": "|[annealed langevin dynamics for massive mimo detection](https://arxiv.org/abs/2205.05776)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2010.04844": "|[how well does surprisal explain n400 amplitude under different experimental conditions?](https://arxiv.org/abs/2010.04844)|[does-surprisal-explain-n400](https://github.com/jmichaelov/does-surprisal-explain-n400)|\n"}, "2022-05-14": {}, "2022-05-15": {}, "2022-05-16": {"2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[proximal-alt-min-for-uls-udgp](https://github.com/aabbas02/proximal-alt-min-for-uls-udgp)|\n", "2205.06306": "|[probabilistic estimation of chirp instantaneous frequency using gaussian processes](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2205.06471": "|[data-driven upper bounds on channel capacity](https://arxiv.org/abs/2205.06471)|[upper_capacity_bounds](https://github.com/chaeger/upper_capacity_bounds)|\n"}, "2022-05-17": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2109.11813": "|[generalized autocorrelation analysis for multi-target detection](https://arxiv.org/abs/2109.11813)|[mtd-gmm](https://github.com/krshay/mtd-gmm)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2202.03129": "|[over-the-air ensemble inference with model privacy](https://arxiv.org/abs/2202.03129)|[oac-based-private-ensembles](https://github.com/selimfirat/oac-based-private-ensembles)|\n", "2103.00078": "|[recovering or testing extended-affine equivalence](https://arxiv.org/abs/2103.00078)|[EA_equivalence_for_quadratic_functions](https://github.com/alaincouvreur/EA_equivalence_for_quadratic_functions)|\n", "2111.08159": "|[hybrid beam alignment for multi-path channels: a group testing viewpoint](https://arxiv.org/abs/2111.08159)|[beamforming](https://github.com/ozleemyildiz/beamforming)|\n", "2202.03352": "|[analog secure distributed matrix multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n", "2205.07061": "|[mind: maximum mutual information based neural decoder](https://arxiv.org/abs/2205.07061)|[mind-neural-decoder](https://github.com/tonellolab/mind-neural-decoder)|\n"}, "2022-05-18": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "1911.06382": "|[r-local unlabeled sensing: a novel graph matching approach for multiview unlabeled sensing under local permutations](https://arxiv.org/abs/1911.06382)|[QAP-for-ULS](https://github.com/aabbas02/QAP-for-ULS)|\n", "2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2205.07869": "|[near out-of-distribution detection for low-resolution radar micro-doppler signatures](https://arxiv.org/abs/2205.07869)|[doppler-signatures-generation](https://github.com/blupblupblup/doppler-signatures-generation)|\n"}, "2022-05-19": {"2109.05536": "|[link scheduling using graph neural networks](https://arxiv.org/abs/2109.05536)|[distgcn](https://github.com/zhongyuanzhao/distgcn)|\n", "2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/y2w-oc/robust-photon-efficient-imaging-using-prsnet)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n", "2202.02557": "|[lower-bounds on the bayesian risk in estimation procedures via $f$-divergences](https://arxiv.org/abs/2202.02557)|[f_divergences_lower_bounds](https://github.com/Adirlou/f_divergences_lower_bounds)|\n"}, "2022-05-20": {"2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n"}, "2022-05-21": {}, "2022-05-22": {}, "2022-05-23": {"2205.09959": "|[a subspace method for time series anomaly detection in cyber-physical systems](https://arxiv.org/abs/2205.09959)|[pad](https://github.com/carlosjva/pad)|\n", "2106.07785": "|[multivariate public key cryptosystem from sidon spaces](https://arxiv.org/abs/2106.07785)|[Sidon-Cryptosystem](https://github.com/b-langton/Sidon-Cryptosystem)|\n", "2201.02664": "|[optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory](https://arxiv.org/abs/2201.02664)|[compressed_communication](https://github.com/google-research/federated/tree/1b31b84/compressed_communication)|\n"}, "2022-05-24": {"2205.09054": "|[position aided beam prediction in the real world: how useful gps locations actually are?](https://arxiv.org/abs/2205.09054)|[position-beam-prediction](https://github.com/jmoraispk/position-beam-prediction)|\n", "2205.10448": "|[approximate message passing with parameter estimation for heavily quantized measurements](https://arxiv.org/abs/2205.10448)|[1Bit-CS](https://github.com/shuai-huang/1Bit-CS)|\n", "2205.10807": "|[antenna selection in switch-based mimo arrays via doa threshold region approximation](https://arxiv.org/abs/2205.10807)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.10684": "|[neural augmented min-sum decoding of short block codes for fading channels](https://arxiv.org/abs/2205.10684)|[nams](https://github.com/sravan-ankireddy/nams)|\n"}, "2022-05-25": {"2110.08581": "|[a tutorial on terahertz-band localization for 6g communication systems](https://arxiv.org/abs/2110.08581)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.03673": "|[towards practical physics-informed ml design and evaluation for power grid](https://arxiv.org/abs/2205.03673)|[gridwarm](https://github.com/ohcindy/gridwarm)|\n", "2205.10750": "|[multi-agent feedback enabled neural networks for intelligent communications](https://arxiv.org/abs/2205.10750)|[MAFENN_TRANS_2022](https://github.com/liyang619/MAFENN_TRANS_2022)|\n"}, "2022-05-26": {"2205.12445": "|[over-the-air design of gan training for mmwave mimo channel estimation](https://arxiv.org/abs/2205.12445)|[ota-gan-mimo-ce](https://github.com/akashsdoshi96/ota-gan-mimo-ce)|\n", "2205.12577": "|[a real-world radio frequency signal dataset based on lte system and variable channels](https://arxiv.org/abs/2205.12577)|[xsrpdataset](https://github.com/njuptzsp/xsrpdataset)|\n", "2205.12781": "|[ultra-compact binary neural networks for human activity recognition on risc-v processors](https://arxiv.org/abs/2205.12781)|[ultracompactbnn](https://github.com/francescodaghero/ultracompactbnn)|\n"}, "2022-05-27": {"2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n"}, "2022-05-28": {}, "2022-05-29": {}, "2022-05-30": {"2205.13653": "|[a semidefinite relaxation for sums of heterogeneous quadratics on the stiefel manifold](https://arxiv.org/abs/2205.13653)|[sums-of-heterogeneous-quadratics](https://github.com/kgilman/sums-of-heterogeneous-quadratics)|\n", "2205.14102": "|[generalizing brain decoding across subjects with deep learning](https://arxiv.org/abs/2205.14102)|[meg-group-decode](https://github.com/ricsinaruto/meg-group-decode)|\n", "2205.13941": "|[auditing differential privacy in high dimensions with the kernel quantum r\\'enyi divergence](https://arxiv.org/abs/2205.13941)|[kernel_renyi_dp](https://github.com/cdenrich/kernel_renyi_dp)|\n"}, "2022-05-31": {"2205.14308": "|[transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots](https://arxiv.org/abs/2205.14308)|[transferlearningbasedcebydnsp](https://github.com/leiunnn/transferlearningbasedcebydnsp)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2022-06-01": {"2205.15271": "|[metassd: meta-learned self-supervised detection](https://arxiv.org/abs/2205.15271)|[metassd](https://github.com/ml-postech/metassd)|\n", "2205.15417": "|[channel model mismatch analysis for xl-mimo systems from a localization perspective](https://arxiv.org/abs/2205.15417)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.15508": "|[rethinking graph neural networks for anomaly detection](https://arxiv.org/abs/2205.15508)|[rethinking-anomaly-detection](https://github.com/squareroot3/rethinking-anomaly-detection)|\n", "2205.15674": "|[generalised implicit neural representations](https://arxiv.org/abs/2205.15674)|[ginr](https://github.com/danielegrattarola/ginr)|\n", "2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n"}, "2022-06-02": {"2102.07737": "|[zero-shot self-supervised learning for mri reconstruction](https://arxiv.org/abs/2102.07737)|[ZS-SSL](https://github.com/byaman14/ZS-SSL)|\n", "2112.01583": "|[the representation jensen-r\\'enyi divergence](https://arxiv.org/abs/2112.01583)|[jensen-renyi-divergence](https://github.com/uk-cliplab/jensen-renyi-divergence)|\n"}, "2022-06-03": {"2204.04155": "|[design of an optimal testbed for tracking of tagged marine megafauna](https://arxiv.org/abs/2204.04155)|[receiver-deployment](https://github.com/kerentalmon/receiver-deployment)|\n"}, "2022-06-04": {}, "2022-06-05": {}, "2022-06-06": {"2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n", "2202.02812": "|[lossy gradient compression: how much accuracy can one bit buy?](https://arxiv.org/abs/2202.02812)|[fl_rd](https://github.com/sadafsk/fl_rd)|\n", "2206.01295": "|[rashomon capacity: a metric for predictive multiplicity in probabilistic classification](https://arxiv.org/abs/2206.01295)|[rashomon-capacity](https://github.com/hsianghsu/rashomon-capacity)|\n"}, "2022-06-07": {"2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n", "2105.13302": "|[characterizing the slope trade-off: a variational perspective and the donoho-tanner limit](https://arxiv.org/abs/2105.13302)|[SLOPE_AMP](https://github.com/woodyx218/SLOPE_AMP)|\n", "2106.15190": "|[dcase 2021 task 3: spectrotemporally-aligned features for polyphonic sound event localization and detection](https://arxiv.org/abs/2106.15190)|[SALSA](https://github.com/thomeou/SALSA)|\n", "2109.10581": "|[da-music: data-driven doa estimation via deep augmented music algorithm](https://arxiv.org/abs/2109.10581)|[tsp22](https://github.com/da-music/tsp22)|\n", "2206.02298": "|[mical: mutual information-based cnn-aided learned factor](https://arxiv.org/abs/2206.02298)|[cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical](https://github.com/bsalafia/cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical)|\n", "1904.08576": "|[on low-rank trace regression under general sampling distribution](https://arxiv.org/abs/1904.08576)|[cv-impute](https://github.com/mohsenbayati/cv-impute)|\n", "2112.01077": "|[blind super-resolution of point sources via projected gradient descent](https://arxiv.org/abs/2112.01077)|[pgdvhl](https://github.com/jcchen2017/pgdvhl)|\n", "2204.12796": "|[supervised contrastive csi representation learning for massive mimo positioning](https://arxiv.org/abs/2204.12796)|[SupConCSI](https://github.com/dengjunquan/SupConCSI)|\n", "2206.02274": "|[an information upper bound for probability sensitivity](https://arxiv.org/abs/2206.02274)|[ProbSensitivityInfoBound](https://github.com/longitude-jyang/ProbSensitivityInfoBound)|\n", "2206.02340": "|[minimizing the expected posterior entropy yields optimal summary statistics](https://arxiv.org/abs/2206.02340)|[summaries](https://github.com/tillahoffmann/summaries)|\n"}, "2022-06-08": {"2103.08711": "|[extreme compressed sensing of poisson rates from multiple measurements](https://arxiv.org/abs/2103.08711)|[SPoRe](https://github.com/pavankkota/SPoRe)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[aoienergyuavtraopt](https://github.com/yuanliaoo/aoienergyuavtraopt)|\n", "2206.02909": "|[self-supervised learning for human activity recognition using 700,000 person-days of wearable data](https://arxiv.org/abs/2206.02909)|[ssl-wearables](https://github.com/OxWearables/ssl-wearables)|\n", "2206.02972": "|[decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics](https://arxiv.org/abs/2206.02972)|[dLDS-Discrete-Python-Model](https://github.com/dLDS-Decomposed-Linear-Dynamics/dLDS-Discrete-Python-Model)|\n", "2206.03165": "|[decentralized low-latency collaborative inference via ensembles on the edge](https://arxiv.org/abs/2206.03165)|[ensembles-on-the-edge](https://github.com/maymalka10/ensembles-on-the-edge)|\n", "2206.03369": "|[computational doob's $h$-transforms for online filtering of discretely observed diffusions](https://arxiv.org/abs/2206.03369)|[CompDoobTransform](https://github.com/jeremyhengjm/CompDoobTransform)|\n"}, "2022-06-09": {"2206.03630": "|[technical report (v1.0)--pseudo-random cartesian sampling for dynamic mri](https://arxiv.org/abs/2206.03630)|[cmr-sampling](https://github.com/mihirjoe/cmr-sampling)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-06-10": {"2206.04447": "|[convolutional dictionary learning by end-to-end training of iterative neural networks](https://arxiv.org/abs/2206.04447)|[convsparsitynns](https://github.com/koflera/convsparsitynns)|\n", "2112.13079": "|[aligning random graphs with a sub-tree similarity message-passing algorithm](https://arxiv.org/abs/2112.13079)|[graph_alignment](https://github.com/giovannipiccioli/graph_alignment)|\n"}, "2022-06-11": {}, "2022-06-12": {}, "2022-06-13": {"2206.05049": "|[denoising generalized expectation-consistent approximation for mri image recovery](https://arxiv.org/abs/2206.05049)|[corr-plus-corr](https://github.com/saurav-k-shastri/corr-plus-corr)|\n"}, "2022-06-14": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2201.04756": "|[roadside lidar vehicle detection and tracking using range and intensity background subtraction](https://arxiv.org/abs/2201.04756)|[roadside-lidar-vehicle-detection-and-tracking-background-subtraction](https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2206.05937": "|[data-driven denoising of accelerometer signals](https://arxiv.org/abs/2206.05937)|[MEMS-IMU-Denoising](https://github.com/ansfl/MEMS-IMU-Denoising)|\n", "2206.06011": "|[reinforcement learning-based placement of charging stations in urban road networks](https://arxiv.org/abs/2206.06011)|[pcrl](https://github.com/ashusao/pcrl)|\n", "2206.06172": "|[ris-admm: an admm-based passive and sparse sensing method with interference removal](https://arxiv.org/abs/2206.06172)|[ris-admm](https://github.com/chenpengseu/ris-admm)|\n", "2204.09938": "|[ultra-marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n"}, "2022-06-15": {"2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-06-16": {"2206.07083": "|[learning the structure of large networked systems obeying conservation laws](https://arxiv.org/abs/2206.07083)|[slnscl](https://github.com/anirudhrayas/slnscl)|\n", "2206.07404": "|[on the relationship between ground- and satellite- based global horizontal irradiance](https://arxiv.org/abs/2206.07404)|[solarsatground](https://github.com/ydjoel/solarsatground)|\n", "2206.07405": "|[paramnet: a multi-layer parametric network for joint channel estimation and symbol detection](https://arxiv.org/abs/2206.07405)|[ParamNET](https://github.com/vincentchoqueuse/ParamNET)|\n", "2206.07122": "|[loss functions for classification using structured entropy](https://arxiv.org/abs/2206.07122)|[resources](https://github.com/numeristical/resources)|\n"}, "2022-06-17": {"2105.07372": "|[an accelerated expectation-maximization algorithm for multi-reference alignment](https://arxiv.org/abs/2105.07372)|[synch-em](https://github.com/noamjanco/synch-em)|\n", "2107.13473": "|[the portiloop: a deep learning-based open science tool for closed-loop brain stimulation](https://arxiv.org/abs/2107.13473)|[portiloop](https://github.com/mistlab/portiloop)|\n", "2205.12577": "|[a real-world radio frequency signal dataset based on lte system and variable channels](https://arxiv.org/abs/2205.12577)|[xsrpdataset](https://github.com/njuptzsp/xsrpdataset)|\n", "2206.07784": "|[evaluating short-term forecasting of multiple time series in iot environments](https://arxiv.org/abs/2206.07784)|[multiple-timeseries-forecasting](https://github.com/pcharala/multiple-timeseries-forecasting)|\n"}, "2022-06-18": {}, "2022-06-19": {}, "2022-06-20": {"2206.08703": "|[plotly-resampler: effective visual analytics for large time series](https://arxiv.org/abs/2206.08703)|[plotly-resampler](https://github.com/predict-idlab/plotly-resampler)|\n", "2206.08869": "|[fast lossless neural compression with integer-only discrete flows](https://arxiv.org/abs/2206.08869)|[iodf](https://github.com/thu-ml/iodf)|\n"}, "2022-06-21": {}, "2022-06-22": {"1911.07316": "|[channel estimation in massive mimo under hardware non-linearities: bayesian methods versus deep learning](https://arxiv.org/abs/1911.07316)|[deep-learning-channel-estimation](https://github.com/emilbjornson/deep-learning-channel-estimation)|\n", "2011.03466": "|[real-time noise cancellation with deep learning](https://arxiv.org/abs/2011.03466)|[deepNeuronalFilter](https://github.com/berndporr/deepNeuronalFilter)|\n", "2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "2112.01857": "|[disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application](https://arxiv.org/abs/2112.01857)|[synchrosqueezed-chirplet-transforms](https://github.com/ziyuchen7/synchrosqueezed-chirplet-transforms)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2204.00465": "|[deep neural convolutive matrix factorization for articulatory representation decomposition](https://arxiv.org/abs/2204.00465)|[ema_gesture](https://github.com/berkeley-speech-group/ema_gesture)|\n", "2206.10209": "|[propagation of measurement and model uncertainties through multiline trl calibration](https://arxiv.org/abs/2206.10209)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2206.10377": "|[can we trust our energy measurements? a study on the odroid-xu4](https://arxiv.org/abs/2206.10377)|[energymeasurementanalysis](https://bitbucket.org/uva-sne/energymeasurementanalysis)|\n", "2206.10499": "|[a learning aided gradient descent for miso beamforming](https://arxiv.org/abs/2206.10499)|[lagd](https://github.com/xiagroup/lagd)|\n", "2011.07932": "|[combating the instability of mutual information-based losses via regularization](https://arxiv.org/abs/2011.07932)|[deconstructing-mine](https://github.com/siyeong-lee/deconstructing-mine)|\n"}, "2022-06-23": {"2104.14526": "|[scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements](https://arxiv.org/abs/2104.14526)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2206.10592": "|[identifying electrocardiogram abnormalities using a handcrafted-rule-enhanced neural network](https://arxiv.org/abs/2206.10592)|[ecg_processing](https://github.com/alwaysbyx/ecg_processing)|\n", "2206.10909": "|[model-driven deep learning-based mimo-ofdm detector: design, simulation, and experimental results](https://arxiv.org/abs/2206.10909)|[cg-oamp-net](https://github.com/starainz/cg-oamp-net)|\n", "2107.00853": "|[adaptive regularized zero-forcing beamforming in massive mimo with multi-antenna users](https://arxiv.org/abs/2107.00853)|[Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users](https://github.com/eugenbobrov/Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n", "2206.10685": "|[differentially private maximal information coefficients](https://arxiv.org/abs/2206.10685)|[dp-mic](https://github.com/jlazarsfeld/dp-mic)|\n", "2206.10968": "|[beating the sum-rate capacity of the binary adder channel with non-signaling correlations](https://arxiv.org/abs/2206.10968)|[mac_ns_lp](https://github.com/pferme/mac_ns_lp)|\n"}, "2022-06-24": {"2102.13284": "|[a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2108.02688": "|[a nonlinear beamforming for enhanced spatiotemporal sensitivity in high frame rate ultrasound flow imaging](https://arxiv.org/abs/2108.02688)|[nonlinear_beamforming](https://github.com/madhavanunni/nonlinear_beamforming)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n"}, "2022-06-25": {}, "2022-06-26": {}, "2022-06-27": {"2102.05433": "|[a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization](https://arxiv.org/abs/2102.05433)|[iADMM](https://github.com/nhatpd/iADMM)|\n", "2206.11976": "|[frame-type sensitive rdo control for content-adaptive-encoding](https://arxiv.org/abs/2206.11976)|[icip2022](https://gitlab.com/mindfreeze/icip2022)|\n", "2206.12078": "|[multi-modal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data](https://arxiv.org/abs/2206.12078)|[animal_behavior_classification_acc_gnss](https://github.com/reza219/animal_behavior_classification_acc_gnss)|\n", "2206.12097": "|[deep-learning-aided distributed clock synchronization for wireless networks](https://arxiv.org/abs/2206.12097)|[distributed-dnn-aided-time-synchronization](https://github.com/emekagdswill/distributed-dnn-aided-time-synchronization)|\n", "1909.02102": "|[accelerated information gradient flow](https://arxiv.org/abs/1909.02102)|[Accelerated-Information-Gradient-flow](https://github.com/YiifeiWang/Accelerated-Information-Gradient-flow)|\n", "2206.12327": "|[source localization of graph diffusion via variational autoencoders for graph inverse problems](https://arxiv.org/abs/2206.12327)|[slvae](https://github.com/triplej0079/slvae)|\n", "2206.12336": "|[deep generation of heterogeneous networks](https://arxiv.org/abs/2206.12336)|[hgen](https://github.com/lingchen0331/hgen)|\n"}, "2022-06-28": {"2010.16386": "|[audio dequantization using (co)sparse (non)convex methods](https://arxiv.org/abs/2010.16386)|[audio_dequantization](https://github.com/zawi01/audio_dequantization)|\n", "2206.09381": "|[graph neural network aided mu-mimo detectors](https://arxiv.org/abs/2206.09381)|[GNN-based-MIMO-Detection](https://github.com/GNN-based-MIMO-Detection/GNN-based-MIMO-Detection)|\n", "2206.13370": "|[adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma](https://arxiv.org/abs/2206.13370)|[uav-noma-adm](https://github.com/thanhluannguyen/uav-noma-adm)|\n", "2109.12070": "|[a unified treatment of partial stragglers and sparse matrices in coded matrix computation](https://arxiv.org/abs/2109.12070)|[unifiedtreatment](https://github.com/anindyabijoydas/unifiedtreatment)|\n", "2206.12509": "|[mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri](https://arxiv.org/abs/2206.12509)|[hyperpolarizedmri](https://github.com/prashjha/hyperpolarizedmri)|\n"}, "2022-06-29": {"2202.04365": "|[aivc: artificial intelligence based video codec](https://arxiv.org/abs/2202.04365)|[AIVC](https://github.com/Orange-OpenSource/AIVC)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n"}, "2022-06-30": {"2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/y2w-oc/robust-photon-efficient-imaging-using-prsnet)|\n", "2206.14752": "|[correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency](https://arxiv.org/abs/2206.14752)|[Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO](https://github.com/rnissel/Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO)|\n", "2005.01699": "|[depth-2 neural networks under a data-poisoning attack](https://arxiv.org/abs/2005.01699)|[neurotron_experiments](https://github.com/papamarkou/neurotron_experiments)|\n"}, "2022-07-01": {"2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2206.10209": "|[propagation of measurement and model uncertainties through multiline trl calibration](https://arxiv.org/abs/2206.10209)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2002.12873": "|[federated over-air subspace tracking from incomplete and corrupted data](https://arxiv.org/abs/2002.12873)|[distributed-pca](https://github.com/praneethmurthy/distributed-pca)|\n"}, "2022-07-02": {}, "2022-07-03": {}, "2022-07-04": {}, "2022-07-05": {"2207.00860": "|[hardware architecture for high throughput event visual data filtering with matrix of iir filters algorithm](https://arxiv.org/abs/2207.00860)|[dvs_filtermatrixiir](https://github.com/vision-agh/dvs_filtermatrixiir)|\n", "2207.01110": "|[learning noise with generative adversarial networks: explorations with classical random process models](https://arxiv.org/abs/2207.01110)|[noisegan](https://github.com/usnistgov/noisegan)|\n", "2207.01391": "|[task-oriented self-supervised learning for anomaly detection in electroencephalography](https://arxiv.org/abs/2207.01391)|[eeg-ad](https://github.com/ironing/eeg-ad)|\n", "2207.01556": "|[semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation](https://arxiv.org/abs/2207.01556)|[audio-samples2](https://github.com/chengguoliang0/audio-samples2)|\n", "2106.06438": "|[encoding of probability distributions for asymmetric numeral systems](https://arxiv.org/abs/2106.06438)|[AsymmetricNumeralSystemsToolkit](https://github.com/JarekDuda/AsymmetricNumeralSystemsToolkit)|\n"}, "2022-07-06": {"2205.07869": "|[near out-of-distribution detection for low-resolution radar micro-doppler signatures](https://arxiv.org/abs/2205.07869)|[near-ood-doppler-signatures](https://github.com/blupblupblup/near-ood-doppler-signatures)|\n", "2207.01707": "|[identification of distorted rf components via deep multi-task learning](https://arxiv.org/abs/2207.01707)|[hardware-problem-identification](https://github.com/mehmetaaygul/hardware-problem-identification)|\n", "2202.00159": "|[content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold](https://arxiv.org/abs/2202.00159)|[mesh](https://github.com/fietelab/mesh)|\n", "2205.01607": "|[modeling and correcting bias in sequential evaluation](https://arxiv.org/abs/2205.01607)|[sequential-bias](https://github.com/jingyanw/sequential-bias)|\n"}, "2022-07-07": {"2207.02242": "|[state-augmented learnable algorithms for resource management in wireless networks](https://arxiv.org/abs/2207.02242)|[stateaugmented_rrm_gnn](https://github.com/navid-naderi/stateaugmented_rrm_gnn)|\n"}, "2022-07-08": {"2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2207.02916": "|[variance in classifying affective state via electrocardiogram and photoplethysmography](https://arxiv.org/abs/2207.02916)|[emo_phys_eval](https://github.com/zacdair/emo_phys_eval)|\n", "2207.02982": "|[morpi: mobile robot pure inertial navigation](https://arxiv.org/abs/2207.02982)|[morpi](https://github.com/ansfl/morpi)|\n", "2011.14753": "|[topologically driven methods for construction of multi-edge type (multigraph with nodes puncturing) quasi-cyclic low-density parity-check codes for wireless channel, wdm long-haul and archival holographic memory](https://arxiv.org/abs/2011.14753)|[trapping-sets-enumeration](https://github.com/Lcrypto/trapping-sets-enumeration)|\n"}, "2022-07-09": {}, "2022-07-10": {}, "2022-07-11": {"2206.12509": "|[mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri](https://arxiv.org/abs/2206.12509)|[hyperpolarizedmri](https://github.com/prashjha/hyperpolarizedmri)|\n"}, "2022-07-12": {"2104.06706": "|[towards off-the-grid algorithms for total variation regularized inverse problems](https://arxiv.org/abs/2104.06706)|[tvsfw](https://github.com/rpetit/tvsfw)|\n", "2206.11976": "|[frame-type sensitive rdo control for content-adaptive-encoding](https://arxiv.org/abs/2206.11976)|[icip2022](https://gitlab.com/mindfreeze/icip2022)|\n", "1908.11221": "|[multi-channel deep networks for block-based image compressive sensing](https://arxiv.org/abs/1908.11221)|[deepbcs](https://github.com/siwangzhou/deepbcs)|\n", "2206.02274": "|[an information upper bound for probability sensitivity](https://arxiv.org/abs/2206.02274)|[ProbSensitivityInfoBound](https://github.com/longitude-jyang/ProbSensitivityInfoBound)|\n", "2207.04144": "|[l$_0$onie: compressing coins with l$_0$-constraints](https://arxiv.org/abs/2207.04144)|[l0onie](https://github.com/juan43ramirez/l0onie)|\n"}, "2022-07-13": {"2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2101.12370": "|[an automated theorem proving framework for information-theoretic results](https://arxiv.org/abs/2101.12370)|[psitip](https://github.com/cheuktingli/psitip)|\n", "2105.03925": "|[on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations](https://arxiv.org/abs/2105.03925)|[information-density](https://gitlab.com/infth/information-density)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n"}, "2022-07-14": {}, "2022-07-15": {"2110.03869": "|[self-supervised speaker recognition with loss-gated learning](https://arxiv.org/abs/2110.03869)|[loss-gated-learning](https://github.com/taoruijie/loss-gated-learning)|\n", "2207.06439": "|[reconstruction of time-varying graph signals via sobolev smoothness](https://arxiv.org/abs/2207.06439)|[graphtrss](https://github.com/jhonygiraldo/graphtrss)|\n", "2207.06592": "|[few-shot specific emitter identification via deep metric ensemble learning](https://arxiv.org/abs/2207.06592)|[few-shot-specific-emitter-identification-via-deep-metric-ensemble-learning](https://github.com/beechburgpiestar/few-shot-specific-emitter-identification-via-deep-metric-ensemble-learning)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[connear_periphery](https://github.com/hearingtechnology/connear_periphery)|\n", "2207.06606": "|[analytic relations between complex networks: encoding, decoding, and causality](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n", "2207.07080": "|[an asymmetric contrastive loss for handling imbalanced datasets](https://arxiv.org/abs/2207.07080)|[asymmetric-cl](https://github.com/valentinovito/asymmetric-cl)|\n"}, "2022-07-16": {}, "2022-07-17": {}, "2022-07-18": {"2206.14752": "|[correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency](https://arxiv.org/abs/2206.14752)|[Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO](https://github.com/rnissel/Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO)|\n", "2207.06908": "|[open-source software for electrical engineering applications requiring consideration of electrodynamics: elecode](https://arxiv.org/abs/2207.06908)|[elecode](https://gitlab.com/dmika/elecode)|\n", "2207.07466": "|[deepsolar tracker: towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[dsfrance](https://github.com/gabrielkasmi/dsfrance)|\n", "2207.07572": "|[outlier detection of vital sign trajectories from covid-19 patients](https://arxiv.org/abs/2207.07572)|[outlier-detection-recap-data](https://github.com/sara-es/outlier-detection-recap-data)|\n"}, "2022-07-19": {"2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2206.08703": "|[plotly-resampler: effective visual analytics for large time series](https://arxiv.org/abs/2206.08703)|[plotly-resampler](https://github.com/predict-idlab/plotly-resampler)|\n", "2207.07773": "|[segment-level metric learning for few-shot bioacoustic event detection](https://arxiv.org/abs/2207.07773)|[dcase_2022_task_5](https://github.com/haoheliu/dcase_2022_task_5)|\n", "2207.07859": "|[deep learning and its applications to wifi human sensing: a benchmark and a tutorial](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2011.05032": "|[correlated age-of-information bandits](https://arxiv.org/abs/2011.05032)|[Correlated-AoI-Bandits](https://github.com/ishank-juneja/Correlated-AoI-Bandits)|\n", "2106.02146": "|[the signed cumulative distribution transform for 1-d signal analysis and classification](https://arxiv.org/abs/2106.02146)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2110.14099": "|[tight concentrations and confidence sequences from the regret of universal portfolio](https://arxiv.org/abs/2110.14099)|[precise](https://github.com/bremen79/precise)|\n", "2204.09938": "|[ultra-marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n", "2204.13424": "|[interpretable collective intelligence of non-rational human agents](https://arxiv.org/abs/2204.13424)|[collective-intelligence-research](https://github.com/nicknick85/collective-intelligence-research)|\n"}, "2022-07-20": {"2102.13284": "|[a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2207.07753": "|[do not sleep on linear models: simple and interpretable techniques outperform deep learning for sleep scoring](https://arxiv.org/abs/2207.07753)|[sleep-linear](https://github.com/predict-idlab/sleep-linear)|\n", "2207.09418": "|[unrolled algorithms for group synchronization](https://arxiv.org/abs/2207.09418)|[unrolling_synchronization](https://github.com/noamjanco/unrolling_synchronization)|\n", "2207.09065": "|[automated black-box boundary value detection](https://arxiv.org/abs/2207.09065)|[repro_autobva](https://github.com/feldob/repro_autobva)|\n"}, "2022-07-21": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n"}, "2022-07-22": {"2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n", "2207.10164": "|[trajectory pmb filters for extended object tracking using belief propagation](https://arxiv.org/abs/2207.10164)|[trajectory-pmb-eot-bp](https://github.com/yuhsuansia/trajectory-pmb-eot-bp)|\n", "2207.10284": "|[multi resolution analysis (mra) for approximate self-attention](https://arxiv.org/abs/2207.10284)|[mra-attention](https://github.com/mlpen/mra-attention)|\n"}, "2022-07-23": {}, "2022-07-24": {}, "2022-07-25": {"2207.10732": "|[explainable ai algorithms for vibration data-based fault detection: use case-adadpted methods and critical evaluation](https://arxiv.org/abs/2207.10732)|[xai-vibration-fault-detection](https://github.com/o-mey/xai-vibration-fault-detection)|\n"}, "2022-07-26": {"2109.00172": "|[task-oriented communication for multi-device cooperative edge inference](https://arxiv.org/abs/2109.00172)|[vddib-sr](https://github.com/shaojiawei07/vddib-sr)|\n", "2205.00348": "|[end-to-end signal classification in signed cumulative distribution transform space](https://arxiv.org/abs/2205.00348)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2206.10499": "|[a learning aided flexible gradient descent approach to miso beamforming](https://arxiv.org/abs/2206.10499)|[lagd](https://github.com/xiagroup/lagd)|\n", "2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n", "2207.12382": "|[on confidence sequences for bounded random processes via universal gambling strategies](https://arxiv.org/abs/2207.12382)|[confidence-sequence-via-gambling](https://github.com/jongharyu/confidence-sequence-via-gambling)|\n"}, "2022-07-27": {"2012.09284": "|[sparse signal models for data augmentation in deep learning atr](https://arxiv.org/abs/2012.09284)|[mstar_data_aug](https://github.com/SENSE-Lab-OSU/mstar_data_aug)|\n", "2108.00874": "|[few-shot domain adaptation for end-to-end communication](https://arxiv.org/abs/2108.00874)|[domain-adaptation-autoencoder](https://github.com/jayaram-r/domain-adaptation-autoencoder)|\n", "2207.12662": "|[time majority voting, a pc-based eeg classifier for non-expert users](https://arxiv.org/abs/2207.12662)|[time_majority_voting](https://github.com/guangyaodou/time_majority_voting)|\n", "2207.12653": "|[dynamic measurement of structural entropy for dynamic graphs](https://arxiv.org/abs/2207.12653)|[incre-se](https://github.com/yangrunze1013/incre-se)|\n"}, "2022-07-28": {"2112.14792": "|[graph neural networks for communication networks: context, use cases and opportunities](https://arxiv.org/abs/2112.14792)|[GNNPapersCommNets](https://github.com/BNN-UPC/GNNPapersCommNets)|\n"}, "2022-07-29": {"2207.14072": "|[wivelo: fine-grained walking velocity estimation for wi-fi passive tracking](https://arxiv.org/abs/2207.14072)|[WiVelo_SECON22](https://github.com/liecn/WiVelo_SECON22)|\n", "2202.02464": "|[one-nearest-neighbor search is all you need for minimax optimal regression and classification](https://arxiv.org/abs/2202.02464)|[split-knn-rules](https://github.com/jongharyu/split-knn-rules)|\n", "2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-07-30": {}, "2022-07-31": {}, "2022-08-01": {"2207.14468": "|[deep learning based successive interference cancellation for the non-orthogonal downlink](https://arxiv.org/abs/2207.14468)|[sicnet](https://github.com/thienvanluong/sicnet)|\n", "2205.10805": "|[deep learning-based synchronization for uplink nb-iot](https://arxiv.org/abs/2205.10805)|[nprach_synch](https://github.com/nvlabs/nprach_synch)|\n", "2207.06606": "|[analytic relations between networks: encoding, decoding, and causality](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n"}, "2022-08-02": {"2208.00313": "|[untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\\psi$frmv)](https://arxiv.org/abs/2208.00313)|[regionofinterest](https://github.com/ryland-chem/regionofinterest)|\n", "2208.00465": "|[vector-based data improves left-right eye-tracking classifier performance after a covariate distributional shift](https://arxiv.org/abs/2208.00465)|[eegetcovariatedistributionalshift](https://github.com/brianxiang123/eegetcovariatedistributionalshift)|\n", "2208.00542": "|[descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal](https://arxiv.org/abs/2208.00542)|[score-based-ecg-denoising](https://github.com/huayuliarizona/score-based-ecg-denoising)|\n", "2001.11212": "|[tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions](https://arxiv.org/abs/2001.11212)|[tcmi](https://github.com/BenjaminRegler/tcmi)|\n", "2110.14099": "|[tight concentrations and confidence sequences from the regret of universal portfolio](https://arxiv.org/abs/2110.14099)|[precise](https://github.com/bremen79/precise)|\n", "2204.01105": "|[better lattice quantizers constructed from complex integers](https://arxiv.org/abs/2204.01105)|[latticequantizer](https://github.com/shx-lyu/latticequantizer)|\n"}, "2022-08-03": {"2208.00877": "|[self-supervised group meiosis contrastive learning for eeg-based emotion recognition](https://arxiv.org/abs/2208.00877)|[Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition](https://github.com/kanhaoning/Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n"}, "2022-08-04": {"2106.00058": "|[stable and interpretable unrolled dictionary learning](https://arxiv.org/abs/2106.00058)|[stable-interpretable-unrolled-dl](https://github.com/btolooshams/stable-interpretable-unrolled-dl)|\n", "2207.11696": "|[the wqn algorithm to adaptively correct artifacts in the eeg signal](https://arxiv.org/abs/2207.11696)|[wavelet-wqn-acha](https://github.com/mattbit/wavelet-wqn-acha)|\n", "2208.01793": "|[segmented learning for class-of-service network traffic classification](https://arxiv.org/abs/2208.01793)|[s2mc-for-cos](https://github.com/yoga-suhas-km/s2mc-for-cos)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n"}, "2022-08-05": {"2208.02649": "|[visually evaluating generative adversarial networks using itself under multivariate time series](https://arxiv.org/abs/2208.02649)|[GaussianGANs](https://github.com/jack-pan-ai/GaussianGANs)|\n"}, "2022-08-06": {}, "2022-08-07": {}, "2022-08-08": {"2208.02724": "|[disentangled representation learning for rf fingerprint extraction under unknown channel statistics](https://arxiv.org/abs/2208.02724)|[dr-rff](https://github.com/xrj-com/dr-rff)|\n", "2208.03118": "|[a design of low-projection scma codebooks for downlink satellite internet of things](https://arxiv.org/abs/2208.03118)|[scma-codebook](https://github.com/ethanlq/scma-codebook)|\n"}, "2022-08-09": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n", "2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2208.04101": "|[fra-rir: fast random approximation of the image-source method](https://arxiv.org/abs/2208.04101)|[fra-rir](https://github.com/yluo42/fra-rir)|\n", "2208.03471": "|[oversquashing in gnns through the lens of information contraction and graph expansion](https://arxiv.org/abs/2208.03471)|[oversquashing](https://github.com/kedar2/oversquashing)|\n"}, "2022-08-10": {"2002.06025": "|[efficient waveform covariance matrix design and antenna selection for mimo radar](https://arxiv.org/abs/2002.06025)|[evolutionary-antenna-design-in-mimo](https://github.com/arindam-bose/evolutionary-antenna-design-in-mimo)|\n", "2112.10107": "|[expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control](https://arxiv.org/abs/2112.10107)|[Advanced_XLight](https://github.com/LiangZhang1996/Advanced_XLight)|\n", "2208.04659": "|[ultra lite convolutional neural network for automatic modulation classification](https://arxiv.org/abs/2208.04659)|[ultra-lite-convolutional-neural-network-for-automatic-modulation-classification](https://github.com/beechburgpiestar/ultra-lite-convolutional-neural-network-for-automatic-modulation-classification)|\n"}, "2022-08-11": {"2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-08-12": {"2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2208.05795": "|[an modified cole's importance sampling method for low error floor qc-ldpc codes construction](https://arxiv.org/abs/2208.05795)|[trapping-sets-enumeration](https://github.com/Lcrypto/trapping-sets-enumeration)|\n"}, "2022-08-13": {}, "2022-08-14": {}, "2022-08-15": {"2204.08000": "|[lrh-net: a multi-level knowledge distillation approach for low-resource heart network](https://arxiv.org/abs/2204.08000)|[lrh-net](https://github.com/ekansh09/lrh-net)|\n", "2208.06051": "|[a hybrid method for condition monitoring and fault diagnosis of rolling bearings with low system delay](https://arxiv.org/abs/2208.06051)|[vibration-based-fault-diagnosis-with-low-delay](https://github.com/western-oc2-lab/vibration-based-fault-diagnosis-with-low-delay)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2208.06355": "|[communication network model of the immune system identifies the impact of interactions with sars-cov-2 proteins](https://arxiv.org/abs/2208.06355)|[core](https://github.com/sarkar-s/core)|\n"}, "2022-08-16": {"2103.02654": "|[a robust adversarial network-based end-to-end communications system with strong generalization ability against adversarial attacks](https://arxiv.org/abs/2103.02654)|[GAN-based-E2E-communications-system-for-defense-against-adversarial-attack](https://github.com/YudiDong/GAN-based-E2E-communications-system-for-defense-against-adversarial-attack)|\n", "2208.06991": "|[towards interpretable sleep stage classification using cross-modal transformers](https://arxiv.org/abs/2208.06991)|[cross-modal-transformer](https://github.com/jathurshan0330/cross-modal-transformer)|\n", "2208.07151": "|[dynamic task software caching-assisted computation offloading for multi-access edge computing](https://arxiv.org/abs/2208.07151)|[drl-mec](https://github.com/chfocus/drl-mec)|\n", "2208.07190": "|[wifi based distance estimation using supervised machine learning](https://arxiv.org/abs/2208.07190)|[wifi-fingerprint](https://github.com/kahramankostas/wifi-fingerprint)|\n", "2208.06948": "|[how does data freshness affect real-time supervised learning?](https://arxiv.org/abs/2208.06948)|[impact-of-data-freshness-in-learning](https://github.com/kamran0153/impact-of-data-freshness-in-learning)|\n"}, "2022-08-17": {"2107.09539": "|[parametric scattering networks](https://arxiv.org/abs/2107.09539)|[ParametricScatteringNetworks](https://github.com/bentherien/ParametricScatteringNetworks)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2208.07830": "|[signal detection with dynamic programming](https://arxiv.org/abs/2208.07830)|[Signal-detection-with-dynamic-programming](https://github.com/MordechaiRoth1/Signal-detection-with-dynamic-programming)|\n", "2103.07578": "|[efficient randomized subspace embeddings for distributed optimization under a communication budget](https://arxiv.org/abs/2103.07578)|[distoptconstrcomm](https://github.com/rajarshisaha95/distoptconstrcomm)|\n"}, "2022-08-18": {"2108.01360": "|[towards a better understanding human reading comprehension with brain signals](https://arxiv.org/abs/2108.01360)|[uercm](https://github.com/yeziyi1998/uercm)|\n", "2109.08170": "|[quantum message-passing algorithm for optimal and efficient decoding](https://arxiv.org/abs/2109.08170)|[quantum-message-passing-paper](https://github.com/chripiv/quantum-message-passing-paper)|\n"}, "2022-08-19": {"2202.13757": "|[fast off-the-grid sparse recovery with over-parametrized projected gradient descent](https://arxiv.org/abs/2202.13757)|[opcomp_sparse_recovery](https://github.com/pjbenard/opcomp_sparse_recovery)|\n", "2204.07043": "|[ensemble learning using individual neonatal data for seizure detection](https://arxiv.org/abs/2204.07043)|[distributed-nsda](https://github.com/anaborovac/distributed-nsda)|\n", "2208.08859": "|[psychophysiological arousal in young children who stutter: an interpretable ai approach](https://arxiv.org/abs/2208.08859)|[modality-wise-multple-instance-learning](https://github.com/asalekin-ubiquitouslab/modality-wise-multple-instance-learning)|\n", "2208.08867": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation](https://arxiv.org/abs/2208.08867)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2022-08-20": {}, "2022-08-21": {}, "2022-08-22": {"2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2208.09088": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties](https://arxiv.org/abs/2208.09088)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2022-08-23": {"2208.10325": "|[exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation](https://arxiv.org/abs/2208.10325)|[scss_csgaussian](https://github.com/rfchallenge/scss_csgaussian)|\n", "2208.10463": "|[survey of machine learning techniques to predict heartbeat arrhythmias](https://arxiv.org/abs/2208.10463)|[ECG_Predictor](https://github.com/innovationcore/ECG_Predictor)|\n", "2205.04860": "|[universal caching](https://arxiv.org/abs/2205.04860)|[universalcaching](https://github.com/ativjoshi/universalcaching)|\n"}, "2022-08-24": {"2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2109.08170": "|[quantum message-passing algorithm for optimal and efficient decoding](https://arxiv.org/abs/2109.08170)|[quantum-message-passing-paper](https://github.com/chripiv/quantum-message-passing-paper)|\n"}, "2022-08-25": {"2207.10164": "|[trajectory pmb filters for extended object tracking using belief propagation](https://arxiv.org/abs/2207.10164)|[trajectory-pmb-eot-bp](https://github.com/yuhsuansia/trajectory-pmb-eot-bp)|\n", "2208.11333": "|[enhancing deep learning performance of massive mimo csi feedback](https://arxiv.org/abs/2208.11333)|[jpts](https://github.com/sijieji/jpts)|\n"}, "2022-08-26": {"2110.09983": "|[ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks](https://arxiv.org/abs/2110.09983)|[ecg-atk-gan](https://github.com/farihahossain/ecg-atk-gan)|\n", "2204.07043": "|[ensemble learning using individual neonatal data for seizure detection](https://arxiv.org/abs/2204.07043)|[distributed-nsda](https://github.com/anaborovac/distributed-nsda)|\n", "2208.11743": "|[eeg4students: an experimental design for eeg data collection and machine learning analysis](https://arxiv.org/abs/2208.11743)|[eeg4students](https://github.com/guangyaodou/eeg4students)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-08-27": {}, "2022-08-28": {}, "2022-08-29": {"2006.08924": "|[gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals](https://arxiv.org/abs/2006.08924)|[EEG-DL](https://github.com/SuperBruceJia/EEG-DL)|\n"}, "2022-08-30": {"2111.02926": "|[openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion](https://arxiv.org/abs/2111.02926)|[openfwi](https://github.com/lanl/openfwi)|\n", "2112.09794": "|[robust distributed bayesian learning with stragglers via consensus monte carlo](https://arxiv.org/abs/2112.09794)|[straggler-resilient-cmc](https://github.com/kclip/straggler-resilient-cmc)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2208.03993": "|[cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios](https://arxiv.org/abs/2208.03993)|[cast](https://github.com/wineslab/cast)|\n", "2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-08-31": {"2208.14017": "|[gridless 3d recovery of image sources from room impulse responses](https://arxiv.org/abs/2208.14017)|[acoustic-sfw](https://github.com/sprunckt/acoustic-sfw)|\n"}, "2022-09-01": {"2006.08030": "|[fast robust subspace tracking via pca in sparse data-dependent noise](https://arxiv.org/abs/2006.08030)|[NORST](https://github.com/praneethmurthy/NORST)|\n", "2208.14554": "|[do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?](https://arxiv.org/abs/2208.14554)|[italian-zero-anaphora-prediction](https://github.com/jmichaelov/italian-zero-anaphora-prediction)|\n"}, "2022-09-02": {"2205.03665": "|[variational sparse coding with learned thresholding](https://arxiv.org/abs/2205.03665)|[variational-sparse-coding](https://github.com/kfallah/variational-sparse-coding)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2205.07061": "|[mind: maximum mutual information based neural decoder](https://arxiv.org/abs/2205.07061)|[mind-neural-decoder](https://github.com/tonellolab/mind-neural-decoder)|\n"}, "2022-09-03": {}, "2022-09-04": {}, "2022-09-05": {"2206.04992": "|[artificial intelligence enabled noma towards next generation multiple access](https://arxiv.org/abs/2206.04992)|[ai_noma](https://github.com/xiaoxiaxusummer/ai_noma)|\n", "2206.07784": "|[evaluating short-term forecasting of multiple time series in iot environments](https://arxiv.org/abs/2206.07784)|[multiple-timeseries-forecasting](https://github.com/pcharala/multiple-timeseries-forecasting)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[dsfrance](https://github.com/gabrielkasmi/dsfrance)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n"}, "2022-09-06": {}, "2022-09-07": {"2201.02693": "|[bottlefit: learning compressed representations in deep neural networks for effective and efficient split computing](https://arxiv.org/abs/2201.02693)|[bottlefit-split_computing](https://github.com/yoshitomo-matsubara/bottlefit-split_computing)|\n", "2208.08342": "|[semantic communications with discrete-time analog transmission: a papr perspective](https://arxiv.org/abs/2208.08342)|[semanticpapr](https://github.com/lynshao/semanticpapr)|\n", "2209.01511": "|[transfer learning of an ensemble of dnns for ssvep bci spellers without user-specific training](https://arxiv.org/abs/2209.01511)|[ensemble-of-dnns](https://github.com/osmanberke/ensemble-of-dnns)|\n", "2209.01992": "|[tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis](https://arxiv.org/abs/2209.01992)|[tfn](https://github.com/chenqian0618/tfn)|\n", "2209.02043": "|[large graph signal denoising with application to differential privacy](https://arxiv.org/abs/2209.02043)|[dp-graph-denoising](https://gitlab.com/elie-chedemail/dp-graph-denoising)|\n", "2209.01362": "|[data augmentation for deep receivers](https://arxiv.org/abs/2209.01362)|[data-augmentations-for-receivers](https://github.com/tomerraviv95/data-augmentations-for-receivers)|\n", "2209.01418": "|[learning to predict requires integrated information](https://arxiv.org/abs/2209.01418)|[learningrequiresintinf](https://github.com/carlottalanger/learningrequiresintinf)|\n", "2209.02461": "|[abs+ polar codes: exploiting more linear transforms on adjacent bits](https://arxiv.org/abs/2209.02461)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-09-08": {"2112.03533": "|[a time-domain real-valued generalized wiener filter for multi-channel neural separation systems](https://arxiv.org/abs/2112.03533)|[TAC](https://github.com/yluo42/TAC)|\n", "2203.09693": "|[generative principal component analysis](https://arxiv.org/abs/2203.09693)|[GenerativePCA](https://github.com/liuzq09/GenerativePCA)|\n", "2206.05049": "|[denoising generalized expectation-consistent approximation for mr image recovery](https://arxiv.org/abs/2206.05049)|[corr-plus-corr](https://github.com/saurav-k-shastri/corr-plus-corr)|\n"}, "2022-09-09": {"2101.04249": "|[two beams are better than one: enabling reliable and high throughput mmwave links](https://arxiv.org/abs/2101.04249)|[mmreliable](https://github.com/ucsdwcsng/mmreliable)|\n", "2205.09054": "|[position aided beam prediction in the real world: how useful gps locations actually are?](https://arxiv.org/abs/2205.09054)|[position-beam-prediction](https://github.com/jmoraispk/position-beam-prediction)|\n", "2209.03761": "|[too fine or too coarse? the goldilocks composition of data complexity for robust left-right eye-tracking classifiers](https://arxiv.org/abs/2209.03761)|[kdd-ml](https://github.com/ayahia1/kdd-ml)|\n", "2202.00136": "|[non-adaptive and two-stage coding over the z-channel](https://arxiv.org/abs/2202.00136)|[Z-channel_with_1_error](https://github.com/VorobyevIlya/Z-channel_with_1_error)|\n"}, "2022-09-10": {}, "2022-09-11": {}, "2022-09-12": {"2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[mt3scm](https://github.com/jokonu/mt3scm)|\n", "2208.10384": "|[the optimality of word lengths. theoretical foundations and an empirical study](https://arxiv.org/abs/2208.10384)|[iql-research-project-21-22](https://github.com/iql-course/iql-research-project-21-22)|\n"}, "2022-09-13": {"2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity exercise](https://arxiv.org/abs/2112.04369)|[adaptive_rpeak_det_public](https://c4science.ch/source/adaptive_rpeak_det_public)|\n", "2208.03118": "|[a design of low-projection scma codebooks for ultra-low decoding complexity in downlink iot networks](https://arxiv.org/abs/2208.03118)|[scma-codebook](https://github.com/ethanlq/scma-codebook)|\n", "2209.04871": "|[data-driven blind synchronization and interference rejection for digital communication signals](https://arxiv.org/abs/2209.04871)|[scss_sync](https://github.com/rfchallenge/scss_sync)|\n"}, "2022-09-14": {"2207.10494": "|[multi-event-camera depth estimation and outlier rejection by refocused events fusion](https://arxiv.org/abs/2207.10494)|[dvs_mcemvs](https://github.com/tub-rip/dvs_mcemvs)|\n", "2202.08048": "|[decorrelate irrelevant, purify relevant: overcome textual spurious correlations from a feature perspective](https://arxiv.org/abs/2202.08048)|[depro](https://github.com/coling2022-depro/depro)|\n"}, "2022-09-15": {"2109.03128": "|[learning-based downlink power allocation in cell-free massive mimo systems](https://arxiv.org/abs/2109.03128)|[power-allocation-cell-free](https://github.com/emilbjornson/power-allocation-cell-free)|\n", "2208.00313": "|[untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\\psi$frmv)](https://arxiv.org/abs/2208.00313)|[regionofinterest](https://github.com/ryland-chem/regionofinterest)|\n", "2209.06464": "|[personalized emotion detection using iot and machine learning](https://arxiv.org/abs/2209.06464)|[MLEmotionDetection](https://github.com/fionavictoria/MLEmotionDetection)|\n"}, "2022-09-16": {"2204.11776": "|[blind equalization and channel estimation in coherent optical communications using variational autoencoders](https://arxiv.org/abs/2204.11776)|[vae-equalizer](https://github.com/kit-cel/vae-equalizer)|\n", "2010.14928": "|[particle gradient descent model for point process generation](https://arxiv.org/abs/2010.14928)|[pp_syn](https://github.com/abrochar/pp_syn)|\n", "2102.12586": "|[a stochastic optimization framework for fair risk minimization](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2022-09-17": {}, "2022-09-18": {}, "2022-09-19": {"2006.08924": "|[gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals](https://arxiv.org/abs/2006.08924)|[EEG-DL](https://github.com/SuperBruceJia/EEG-DL)|\n", "2011.00753": "|[bayesbeat: reliable atrial fibrillation detection from noisy photoplethysmography data](https://arxiv.org/abs/2011.00753)|[bayesbeat](https://github.com/sarathismg/bayesbeat)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2209.07999": "|[self-supervised learning with an information maximization criterion](https://arxiv.org/abs/2209.07999)|[corinfomax-ssl](https://github.com/serdarozsoy/corinfomax-ssl)|\n"}, "2022-09-20": {"1911.01803": "|[temporal feedback convolutional recurrent neural networks for speech command recognition](https://arxiv.org/abs/1911.01803)|[temporal-feedback-crnn](https://github.com/tae-jun/temporal-feedback-crnn)|\n", "2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2205.06471": "|[data-driven estimation of capacity upper bounds](https://arxiv.org/abs/2205.06471)|[upper_capacity_bounds](https://github.com/chaeger/upper_capacity_bounds)|\n", "2205.11578": "|[bolt: fused window transformers for fmri time series analysis](https://arxiv.org/abs/2205.11578)|[bolt](https://github.com/icon-lab/bolt)|\n", "2209.09163": "|[an impedance transition method to verify the reference impedance of multiline trl calibration](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2110.00926": "|[information-theoretic characterization of the generalization error for iterative semi-supervised learning](https://arxiv.org/abs/2110.00926)|[generrorssl_2022](https://github.com/herianhe/generrorssl_2022)|\n"}, "2022-09-21": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2202.10084": "|[massive mimo with dual-polarized antennas](https://arxiv.org/abs/2202.10084)|[dual-polarization](https://github.com/emilbjornson/dual-polarization)|\n"}, "2022-09-22": {"2209.09977": "|[learning bilinear models of actuated koopman generators from partially-observed trajectories](https://arxiv.org/abs/2209.09977)|[koopmangeneratorem](https://github.com/samotto1/koopmangeneratorem)|\n", "2007.07500": "|[inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches](https://arxiv.org/abs/2007.07500)|[infonet](https://github.com/LNov/infonet)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[sprld](https://github.com/nghiadt05/sprld)|\n"}, "2022-09-23": {"2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2209.11007": "|[eventnet: detecting events in eeg](https://arxiv.org/abs/2209.11007)|[eventnet](https://github.com/n1xu5/eventnet)|\n", "2209.11105": "|[dynamic response recovery using ambient synchrophasor data: a synthetic texas interconnection case study](https://arxiv.org/abs/2209.11105)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2209.10712": "|[compressing sign information in dct-based image coding via deep sign retrieval](https://arxiv.org/abs/2209.10712)|[dsr](https://github.com/ctsutake/dsr)|\n"}, "2022-09-24": {}, "2022-09-25": {}, "2022-09-26": {"2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2208.03070": "|[activity detection in distributed mimo: distributed amp via likelihood ratio fusion](https://arxiv.org/abs/2208.03070)|[distributed-AMP](https://github.com/jiananbai/distributed-AMP)|\n", "2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[abimca](https://github.com/jokonu/abimca)|\n"}, "2022-09-27": {"1905.12256": "|[ddp-gcn: multi-graph convolutional network for spatiotemporal traffic forecasting](https://arxiv.org/abs/1905.12256)|[DDP-GCN](https://github.com/snu-adsl/DDP-GCN)|\n", "2005.01669": "|[ppg2abp: translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks](https://arxiv.org/abs/2005.01669)|[PPG2ABP](https://github.com/nibtehaz/PPG2ABP)|\n", "2011.03466": "|[real-time noise cancellation with deep learning](https://arxiv.org/abs/2011.03466)|[deepNeuronalFilter](https://github.com/berndporr/deepNeuronalFilter)|\n", "2106.10108": "|[under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2209.12638": "|[bounded simplex-structured matrix factorization](https://arxiv.org/abs/2209.12638)|[bssmf.jl](https://gitlab.com/vuthanho/bssmf.jl)|\n", "2104.00861": "|[poisson phase retrieval in very low-count regimes](https://arxiv.org/abs/2104.00861)|[ppr-low-count](https://github.com/zongyuli-umich/ppr-low-count)|\n", "2208.06948": "|[how does data freshness affect real-time supervised learning?](https://arxiv.org/abs/2208.06948)|[impact-of-data-freshness-in-learning](https://github.com/kamran0153/impact-of-data-freshness-in-learning)|\n"}, "2022-09-28": {"2209.12894": "|[biologically-plausible determinant maximization neural networks for blind separation of correlated sources](https://arxiv.org/abs/2209.12894)|[biologically-plausible-detmaxnns-for-blind-source-separation](https://github.com/bariscanbozkurt/biologically-plausible-detmaxnns-for-blind-source-separation)|\n", "2209.13553": "|[source detection via multi-label classification](https://arxiv.org/abs/2209.13553)|[Signal_detector](https://github.com/jkrishnan95v/Signal_detector)|\n", "2209.13585": "|[semi-blind source separation with learned constraints](https://arxiv.org/abs/2209.13585)|[sgmca](https://github.com/rcarlonigertosio/sgmca)|\n", "2106.12627": "|[provably efficient machine learning for quantum many-body problems](https://arxiv.org/abs/2106.12627)|[PastaQ.jl](https://github.com/GTorlai/PastaQ.jl)|\n", "2112.10869": "|[cell-free massive mimo meets otfs modulation](https://arxiv.org/abs/2112.10869)|[cell-free-otfs](https://github.com/mohammadalimohammadi/cell-free-otfs)|\n", "2207.07080": "|[an asymmetric contrastive loss for handling imbalanced datasets](https://arxiv.org/abs/2207.07080)|[asymmetric-cl](https://github.com/valentinovito/asymmetric-cl)|\n"}, "2022-09-29": {"2209.13786": "|[a parameter-free nonconvex low-rank tensor completion model for spatiotemporal traffic data recovery](https://arxiv.org/abs/2209.13786)|[T-ITS-PFNC](https://github.com/YoungHe49/T-ITS-PFNC)|\n"}, "2022-09-30": {"2111.04593": "|[frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n"}, "2022-10-01": {}, "2022-10-02": {}, "2022-10-03": {"2203.07807": "|[end-to-end p300 bci using bayesian accumulation of riemannian probabilities](https://arxiv.org/abs/2203.07807)|[demos](https://github.com/timeflux/demos)|\n", "2209.14162": "|[near lossless time series data compression methods using statistics and deviation](https://arxiv.org/abs/2209.14162)|[data-compression](https://github.com/vidhi0206/data-compression)|\n", "2209.15146": "|[ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices](https://arxiv.org/abs/2209.15146)|[stress](https://github.com/xalentis/stress)|\n", "2209.15195": "|[rf-transformer: a unified backscatter radio hardware abstraction](https://arxiv.org/abs/2209.15195)|[rf-transformer](https://github.com/lefscc/rf-transformer)|\n", "2209.15223": "|[astf: visual abstractions of time-varying patterns in radio signals](https://arxiv.org/abs/2209.15223)|[astf](https://github.com/csuvis/astf)|\n", "2209.15614": "|[tinyturbo: efficient turbo decoders on edge](https://arxiv.org/abs/2209.15614)|[tinyturbo](https://github.com/hebbarashwin/tinyturbo)|\n", "2012.04524": "|[construction of optimal spectral methods in phase retrieval](https://arxiv.org/abs/2012.04524)|[Optimal_Spectral_Methods_PR](https://github.com/AnMaillard/Optimal_Spectral_Methods_PR)|\n", "2203.07752": "|[optimal denoising of rotationally invariant rectangular matrices](https://arxiv.org/abs/2203.07752)|[rectangular_rie](https://github.com/penombraet/rectangular_rie)|\n", "2209.15594": "|[self-stabilization: the implicit bias of gradient descent at the edge of stability](https://arxiv.org/abs/2209.15594)|[eos](https://github.com/adamian98/eos)|\n"}, "2022-10-04": {"2201.00627": "|[uncertainty detection and reduction in neural decoding of eeg signals](https://arxiv.org/abs/2201.00627)|[ue-eeg](https://github.com/tiehangd/ue-eeg)|\n", "2210.00941": "|[unsupervised multimodal change detection based on structural relationship graph representation learning](https://arxiv.org/abs/2210.00941)|[srgcae](https://github.com/chenhongruixuan/srgcae)|\n"}, "2022-10-05": {"2210.01205": "|[diagnosis of parkinson's disease based on voice signals using shap and hard voting ensemble method](https://arxiv.org/abs/2210.01205)|[classification_of_parkinson_disease](https://github.com/pariaghaheri/classification_of_parkinson_disease)|\n", "2208.14554": "|[do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?](https://arxiv.org/abs/2208.14554)|[italian-zero-anaphora-prediction](https://github.com/jmichaelov/italian-zero-anaphora-prediction)|\n", "2209.15265": "|[overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery](https://arxiv.org/abs/2209.15265)|[neural-recovery](https://github.com/pilancilab/neural-recovery)|\n"}, "2022-10-06": {"2205.15674": "|[generalised implicit neural representations](https://arxiv.org/abs/2205.15674)|[ginr](https://github.com/danielegrattarola/ginr)|\n", "2210.01719": "|[learning the spectrogram temporal resolution for audio classification](https://arxiv.org/abs/2210.01719)|[diffres-python](https://github.com/haoheliu/diffres-python)|\n", "2210.01986": "|[matt: a manifold attention network for eeg decoding](https://arxiv.org/abs/2210.01986)|[matt](https://github.com/cecnl/matt)|\n"}, "2022-10-07": {"2210.02596": "|[role of deep learning in wireless communications](https://arxiv.org/abs/2210.02596)|[DL-DSC-FDD-Massive-MIMO](https://github.com/foadsohrabi/DL-DSC-FDD-Massive-MIMO)|\n", "2210.03067": "|[few-shot calibration of set predictors via meta-learned cross-validation-based conformal prediction](https://arxiv.org/abs/2210.03067)|[meta-xb](https://github.com/kclip/meta-xb)|\n", "2107.02027": "|[efficient sequence packing without cross-contamination: accelerating large language models without impacting performance](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n", "2207.06374": "|[grassmannian packings: trust-region stochastic tuning for matrix incoherence](https://arxiv.org/abs/2207.06374)|[trstmi](https://github.com/josiahpark/trstmi)|\n", "2210.02672": "|[orthogonal non-negative matrix factorization: a maximum-entropy-principle approach](https://arxiv.org/abs/2210.02672)|[mep-orthogonal-nmf](https://github.com/salar96/mep-orthogonal-nmf)|\n"}, "2022-10-08": {}, "2022-10-09": {}, "2022-10-10": {"1912.12566": "|[experiments with mmwave automotive radar test-bed](https://arxiv.org/abs/1912.12566)|[mmWave-radar-signal-processing-and-microDoppler-classification](https://github.com/Xiangyu-Gao/mmWave-radar-signal-processing-and-microDoppler-classification)|\n"}, "2022-10-11": {"2012.13567": "|[towards real-world bci: ccspnet, a compact subject-independent motor imagery framework](https://arxiv.org/abs/2012.13567)|[CCSPNet](https://github.com/Singular-Brain/CCSPNet)|\n", "2201.04784": "|[performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach](https://arxiv.org/abs/2201.04784)|[mmtc-noma](https://github.com/thanhluannguyen/mmtc-noma)|\n", "2201.09531": "|[communication-efficient stochastic zeroth-order optimization for federated learning](https://arxiv.org/abs/2201.09531)|[FedZO](https://github.com/noobyzy/FedZO)|\n", "2210.02214": "|[urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming](https://arxiv.org/abs/2210.02214)|[robust-adaptive-beamforming-2022](https://github.com/chenpengseu/robust-adaptive-beamforming-2022)|\n", "2210.04033": "|[online learning of the transfer matrix of dynamic scattering media: wavefront shaping meets multidimensional time series](https://arxiv.org/abs/2210.04033)|[online_learning_tm](https://github.com/labogigan/online_learning_tm)|\n", "2210.04222": "|[correlative information maximization based biologically plausible neural networks for correlated source separation](https://arxiv.org/abs/2210.04222)|[Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation](https://github.com/BariscanBozkurt/Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation)|\n", "2210.04818": "|[rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2210.04818)|[rhombic_grids](https://github.com/mschiffn/rhombic_grids)|\n", "2006.06618": "|[coinpress: practical private mean and covariance estimation](https://arxiv.org/abs/2006.06618)|[coin-press](https://github.com/twistedcubic/coin-press)|\n", "2210.04013": "|[constrained optimal querying: huffman coding and beyond](https://arxiv.org/abs/2210.04013)|[constrained-optimal-querying-huffman-coding-and-beyond](https://github.com/madcreeper/constrained-optimal-querying-huffman-coding-and-beyond)|\n"}, "2022-10-12": {"2107.13473": "|[the portiloop: a deep learning-based open science tool for closed-loop brain stimulation](https://arxiv.org/abs/2107.13473)|[portiloop](https://github.com/mistlab/portiloop)|\n", "2205.14308": "|[transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots](https://arxiv.org/abs/2205.14308)|[transferlearningbasedcebydnsp](https://github.com/leiunnn/transferlearningbasedcebydnsp)|\n", "2210.04941": "|[slurp! spectroscopy of liquids using robot pre-touch sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2210.05240": "|[multi-site diagnostic classification of schizophrenia using 3d cnn on aggregated task-based fmri data](https://arxiv.org/abs/2210.05240)|[Schizophrenia-Classification-from-multi-site-fMRI-data](https://github.com/s-vigneshwaran/Schizophrenia-Classification-from-multi-site-fMRI-data)|\n", "2210.05571": "|[misspecified phase retrieval with generative priors](https://arxiv.org/abs/2210.05571)|[MPRG](https://github.com/jiulongliu/MPRG)|\n"}, "2022-10-13": {"2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2210.06083": "|[outlier-insensitive kalman filtering using nuv priors](https://arxiv.org/abs/2210.06083)|[oikf_icassp23](https://github.com/kalmannet/oikf_icassp23)|\n", "2210.06287": "|[an energy-efficient spiking neural network for finger velocity decoding for implantable brain-machine interface](https://arxiv.org/abs/2210.06287)|[snn-for-finger-velocity-ibmi](https://github.com/liaorichard/snn-for-finger-velocity-ibmi)|\n", "2210.06297": "|[multimodality multi-lead ecg arrhythmia classification using self-supervised learning](https://arxiv.org/abs/2210.06297)|[ecg_ssl_12lead](https://github.com/uark-aicv/ecg_ssl_12lead)|\n", "2210.06298": "|[cross task neural architecture search for eeg signal classifications](https://arxiv.org/abs/2210.06298)|[ctnas-eeg](https://github.com/duanyiqun/ctnas-eeg)|\n", "2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n", "2207.14742": "|[graph neural networks for channel decoding](https://arxiv.org/abs/2207.14742)|[gnn-decoder](https://github.com/nvlabs/gnn-decoder)|\n"}, "2022-10-14": {"2110.09983": "|[ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks](https://arxiv.org/abs/2110.09983)|[ecg-atk-gan](https://github.com/farihahossain/ecg-atk-gan)|\n", "2206.01323": "|[spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg](https://arxiv.org/abs/2206.01323)|[TSMNet](https://github.com/rkobler/TSMNet)|\n", "2206.08022": "|[partial identifiability for nonnegative matrix factorization](https://arxiv.org/abs/2206.08022)|[nmf-partial-identifiability](https://gitlab.com/ngillis/nmf-partial-identifiability)|\n", "2208.08155": "|[a monotonicity constrained attention module for emotion classification with limited eeg data](https://arxiv.org/abs/2208.08155)|[bci-attention](https://github.com/dykuang/bci-attention)|\n", "2210.06286": "|[self-supervised learning for label-efficient sleep stage classification: a comprehensive evaluation](https://arxiv.org/abs/2210.06286)|[eval_ssl_ssc](https://github.com/emadeldeen24/eval_ssl_ssc)|\n", "2210.06947": "|[decentralized state estimation in a dimension-reduced linear regression](https://arxiv.org/abs/2210.06947)|[dtt](https://gitlab.com/robinforsling/dtt)|\n", "2204.01105": "|[better lattice quantizers constructed from complex integers](https://arxiv.org/abs/2204.01105)|[latticequantizer](https://github.com/shx-lyu/latticequantizer)|\n", "2207.12077": "|[decision-oriented two-parameter fisher information sensitivity using symplectic decomposition](https://arxiv.org/abs/2207.12077)|[symplecticfishersensitivity](https://github.com/longitude-jyang/symplecticfishersensitivity)|\n", "2210.06591": "|[rigorous dynamical mean field theory for stochastic gradient descent methods](https://arxiv.org/abs/2210.06591)|[rigorous-dynamical-mean-field-theory](https://github.com/spoc-group/rigorous-dynamical-mean-field-theory)|\n"}, "2022-10-15": {}, "2022-10-17": {"2210.05888": "|[calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements](https://arxiv.org/abs/2210.05888)|[uwb_calibration](https://github.com/decarsg/uwb_calibration)|\n", "2210.07789": "|[i13dr: a real-time demand response infrastructure for integrating renewable energy resources](https://arxiv.org/abs/2210.07789)|[demand-manager-app](https://github.com/i13DR/demand-manager-app)|\n"}, "2022-10-16": {}, "2022-10-18": {"2110.00844": "|[a robust alternative for graph convolutional neural networks via graph neighborhood filters](https://arxiv.org/abs/2110.00844)|[neighborhoodgf](https://github.com/vmtenorio/neighborhoodgf)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2204.10428": "|[sinr: deconvolving circular sas images using implicit neural representations](https://arxiv.org/abs/2204.10428)|[csas_deconvolution_inr](https://github.com/awreed/csas_deconvolution_inr)|\n", "2207.09747": "|[transfer learning of wav2vec 2.0 for automatic lyric transcription](https://arxiv.org/abs/2207.09747)|[alt_speechbrain](https://github.com/guxm2021/alt_speechbrain)|\n", "2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2208.02724": "|[disentangled representation learning for rf fingerprint extraction under unknown channel statistics](https://arxiv.org/abs/2208.02724)|[dr-rff](https://github.com/xrj-com/dr-rff)|\n", "2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2209.11233": "|[evaluating latent space robustness and uncertainty of eeg-ml models under realistic distribution shifts](https://arxiv.org/abs/2209.11233)|[evaluating-eeg-representations](https://github.com/neerajwagh/evaluating-eeg-representations)|\n", "2210.08409": "|[a framework to evaluate independent component analysis applied to eeg signal: testing on the picard algorithm](https://arxiv.org/abs/2210.08409)|[testica](https://github.com/sccn/testica)|\n", "2210.08488": "|[robust graph filter identification and graph denoising from signal observations](https://arxiv.org/abs/2210.08488)|[graph_denoising](https://github.com/reysam93/graph_denoising)|\n", "2210.09134": "|[principled pruning of bayesian neural networks through variational free energy minimization](https://arxiv.org/abs/2210.09134)|[principledpruningbnn](https://github.com/biaslab/principledpruningbnn)|\n", "2210.08861": "|[a unitary transform based generalized approximate message passing](https://arxiv.org/abs/2210.08861)|[guamp](https://github.com/riverzhu/guamp)|\n"}, "2022-10-19": {"2205.14415": "|[non-stationary transformers: exploring the stationarity in time series forecasting](https://arxiv.org/abs/2205.14415)|[Nonstationary_Transformers](https://github.com/thuml/Nonstationary_Transformers)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n", "2210.09808": "|[distributed inference over linear models using alternating gaussian belief propagation](https://arxiv.org/abs/2210.09808)|[FactorGraph.jl](https://github.com/mcosovic/FactorGraph.jl)|\n"}, "2022-10-20": {"2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2012.03902": "|[generative adversarial user privacy in lossy single-server information retrieval](https://arxiv.org/abs/2012.03902)|[GAUP_TIFS22](https://github.com/Simula-UiB/GAUP_TIFS22)|\n"}, "2022-10-21": {"2203.00418": "|[recovery of missing sensor data by reconstructing time-varying graph signals](https://arxiv.org/abs/2203.00418)|[EUSIPCO_22_Sobolev](https://github.com/anindya2001/EUSIPCO_22_Sobolev)|\n", "2210.11406": "|[prosky: neat meets noma-mmwave in the sky of 6g](https://arxiv.org/abs/2210.11406)|[prosky](https://github.com/fouzibenfaid/prosky)|\n", "2210.11422": "|[a hybrid millimeter-wave channel simulator for joint communication and localization](https://arxiv.org/abs/2210.11422)|[omnisim](https://github.com/dengjunquan/omnisim)|\n", "2109.06141": "|[on tilted losses in machine learning: theory and applications](https://arxiv.org/abs/2109.06141)|[TERM](https://github.com/litian96/TERM)|\n", "2206.01295": "|[rashomon capacity: a metric for predictive multiplicity in classification](https://arxiv.org/abs/2206.01295)|[rashomon-capacity](https://github.com/hsianghsu/rashomon-capacity)|\n"}, "2022-10-22": {}, "2022-10-23": {}, "2022-10-24": {"2201.03211": "|[noisy neonatal chest sound separation for high-quality heart and lung sounds](https://arxiv.org/abs/2201.03211)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2203.00804": "|[nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems](https://arxiv.org/abs/2203.00804)|[as-nesta-net](https://github.com/mneyrane/as-nesta-net)|\n"}, "2022-10-25": {"2210.12807": "|[hierarchical filtering with online learned priors for ecg denoising](https://arxiv.org/abs/2210.12807)|[hkf_icassp23](https://github.com/kalmannet/hkf_icassp23)|\n", "2210.12811": "|[unsupervised particle sorting for cryo-em using probabilistic pca](https://arxiv.org/abs/2210.12811)|[particle_sorting](https://github.com/giliw/particle_sorting)|\n", "2210.13271": "|[ecg artifact removal from single-channel surface emg using fully convolutional networks](https://arxiv.org/abs/2210.13271)|[ecg-removal-from-semg-by-fcn](https://github.com/eric-wang135/ecg-removal-from-semg-by-fcn)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2210.12625": "|[fast beam alignment via pure exploration in multi-armed bandits](https://arxiv.org/abs/2210.12625)|[fast-beam-alignment](https://github.com/yiwei0129/fast-beam-alignment)|\n"}, "2022-10-26": {"2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n"}, "2022-10-27": {"2206.12078": "|[multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data](https://arxiv.org/abs/2206.12078)|[animal_behavior_classification_acc_gnss](https://github.com/reza219/animal_behavior_classification_acc_gnss)|\n", "2210.14758": "|[topological slepians: maximally localized representations of signals over simplicial complexes](https://arxiv.org/abs/2210.14758)|[topological-slepians](https://github.com/clabat9/topological-slepians)|\n", "2210.14827": "|[a nonlinear sum of squares search for cazac sequences](https://arxiv.org/abs/2210.14827)|[ieee-sos-cazac](https://github.com/magsino-usna/ieee-sos-cazac)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n"}, "2022-10-28": {"2203.17024": "|[vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection](https://arxiv.org/abs/2203.17024)|[vqf](https://github.com/dlaidig/vqf)|\n", "2210.15071": "|[accelerated massive mimo detector based on annealed underdamped langevin dynamics](https://arxiv.org/abs/2210.15071)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2210.15448": "|[kalmanbot: kalmannet-aided bollinger bands for pairs trading](https://arxiv.org/abs/2210.15448)|[kalmanbot_icassp23](https://github.com/kalmannet/kalmanbot_icassp23)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[mine-pytorch](https://github.com/billywu1029/mine-pytorch)|\n"}, "2022-10-29": {}, "2022-10-30": {}, "2022-10-31": {"2210.15539": "|[deep convolutional neural networks for multi-target tracking: a transfer learning approach](https://arxiv.org/abs/2210.15539)|[mtt](https://github.com/damowerko/mtt)|\n", "2210.15793": "|[conditioning and sampling in variational diffusion models for speech super-resolution](https://arxiv.org/abs/2210.15793)|[diffwave-sr](https://github.com/yoyololicon/diffwave-sr)|\n", "2210.15826": "|[multimodal estimation of change points of physiological arousal in drivers](https://arxiv.org/abs/2210.15826)|[ggs_driving](https://github.com/usc-sail/ggs_driving)|\n", "2210.15903": "|[speaker recognition with two-step multi-modal deep cleansing](https://arxiv.org/abs/2210.15903)|[avcleanse](https://github.com/taoruijie/avcleanse)|\n", "2210.15975": "|[lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform](https://arxiv.org/abs/2210.15975)|[mb-istft-vits](https://github.com/masayakawamura/mb-istft-vits)|\n", "2210.15987": "|[nnsvs: a neural network-based singing voice synthesis toolkit](https://arxiv.org/abs/2210.15987)|[nnsvs](https://github.com/nnsvs/nnsvs)|\n", "2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n"}, "2022-11-01": {"2210.07789": "|[i13dr: a real-time demand response infrastructure for integrating renewable energy resources](https://arxiv.org/abs/2210.07789)|[demand-manager-app](https://github.com/i13DR/demand-manager-app)|\n", "2210.16520": "|[fast-convergent federated learning via cyclic aggregation](https://arxiv.org/abs/2210.16520)|[cyclicaggregation](https://github.com/yjlee22/cyclicaggregation)|\n", "2210.16544": "|[better lightweight network for free: codeword mimic learning for massive mimo csi feedback](https://arxiv.org/abs/2210.16544)|[codewordmimicfeedback](https://github.com/kylin9511/codewordmimicfeedback)|\n", "2210.16985": "|[space-time design for deep joint source channel coding of images over mimo channels](https://arxiv.org/abs/2210.16985)|[st_jscc](https://github.com/aprilbian/st_jscc)|\n", "2202.00964": "|[what has been enhanced in my knowledge-enhanced language model?](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n", "2210.17159": "|[page: prototype-based model-level explanations for graph neural networks](https://arxiv.org/abs/2210.17159)|[page](https://github.com/jordan7186/page)|\n"}, "2022-11-02": {}, "2022-11-03": {"2205.10129": "|[topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions](https://arxiv.org/abs/2205.10129)|[GNN_OPF_electricity_market](https://github.com/ShaohuiLiu/GNN_OPF_electricity_market)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2210.14827": "|[a nonlinear sum of squares search for cazac sequences](https://arxiv.org/abs/2210.14827)|[ieee-sos-cazac](https://github.com/magsino-usna/ieee-sos-cazac)|\n", "2211.00937": "|[witt: a wireless image transmission transformer for semantic communications](https://arxiv.org/abs/2211.00937)|[witt](https://github.com/keyang8/witt)|\n"}, "2022-11-04": {"2211.01659": "|[an open platform for simulating the physical layer of 6g communication systems with multiple intelligent surfaces](https://arxiv.org/abs/2211.01659)|[6g-simulation-platform](https://github.com/alexpapad95/6g-simulation-platform)|\n", "2111.03699": "|[a space of goals: the cognitive geometry of informationally bounded agents](https://arxiv.org/abs/2111.03699)|[cognitive-geometry](https://gitlab.com/uh-adapsys/cognitive-geometry)|\n"}, "2022-11-05": {}, "2022-11-06": {}, "2022-11-07": {"2203.10800": "|[graph neural networks for wireless communications: from theory to practice](https://arxiv.org/abs/2203.10800)|[gnn4com](https://github.com/yshenaw/gnn4com)|\n", "2210.12191": "|[rate-splitting for intelligent reflecting surface-aided multiuser vr streaming](https://arxiv.org/abs/2210.12191)|[Deep-GRAIL](https://github.com/ruihuang1967/Deep-GRAIL)|\n", "2211.02629": "|[multi-view multi-label fine-grained emotion decoding from human brain activity](https://arxiv.org/abs/2211.02629)|[ml-bvae](https://github.com/kaichengfu1997/ml-bvae)|\n", "2211.02630": "|[recursive estimation of user intent from noninvasive electroencephalography using discriminative models](https://arxiv.org/abs/2211.02630)|[bci-disc-models](https://github.com/nik-sm/bci-disc-models)|\n", "2211.02638": "|[a knowledge distillation framework for enhancing ear-eeg based sleep staging with scalp-eeg data](https://arxiv.org/abs/2211.02638)|[EarEEG_KnowledgeDistillation](https://github.com/Mithunjha/EarEEG_KnowledgeDistillation)|\n"}, "2022-11-08": {"2103.09924": "|[sharp: environment and person independent activity recognition with commodity ieee 802.11 access points](https://arxiv.org/abs/2103.09924)|[sharp](https://github.com/signetlabdei/sharp)|\n", "2204.08989": "|[efficient deep learning-based estimation of the vital signs on smartphones](https://arxiv.org/abs/2204.08989)|[mtvital](https://github.com/mahdifarvardin/mtvital)|\n", "2211.02678": "|[towards efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks](https://arxiv.org/abs/2211.02678)|[hypercomplexecg](https://github.com/leibniz-future-lab/hypercomplexecg)|\n", "2211.02696": "|[malgrid: visualization of binary features in large malware corpora](https://arxiv.org/abs/2211.02696)|[MalGrid](https://github.com/Mayachitra-Inc/MalGrid)|\n", "2211.02718": "|[samo: speaker attractor multi-center one-class learning for voice anti-spoofing](https://arxiv.org/abs/2211.02718)|[samo](https://github.com/sivannavis/samo)|\n", "2211.02869": "|[deep learning for rapid landslide detection using synthetic aperture radar (sar) datacubes](https://arxiv.org/abs/2211.02869)|[landslide-sar-unet](https://github.com/iprapas/landslide-sar-unet)|\n", "2211.02922": "|[neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers](https://arxiv.org/abs/2211.02922)|[neural-spatio-temporal-probabilistic-transformers](https://github.com/negar-erfanian/neural-spatio-temporal-probabilistic-transformers)|\n", "2211.03171": "|[pan-tompkins++: a robust approach to detect r-peaks in ecg signals](https://arxiv.org/abs/2211.03171)|[Pan-Tompkins-Plus-Plus](https://github.com/Niaz-Imtiaz/Pan-Tompkins-Plus-Plus)|\n", "2211.03583": "|[pygsl: a graph structure learning toolkit](https://arxiv.org/abs/2211.03583)|[pygsl](https://github.com/maxwass/pygsl)|\n", "2208.00549": "|[unifying approaches in active learning and active sampling via fisher information and information-theoretic quantities](https://arxiv.org/abs/2208.00549)|[2208.00549](https://github.com/blackhc/2208.00549)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n", "2210.15164": "|[fas-unet: a novel fas-driven unet to learn variational image segmentation](https://arxiv.org/abs/2210.15164)|[fasunet](https://github.com/zhuhui100/fasunet)|\n", "2211.02863": "|[inductive graph transformer for delivery time estimation](https://arxiv.org/abs/2211.02863)|[igt-wsdm23](https://github.com/enoche/igt-wsdm23)|\n"}, "2022-11-09": {"2204.07122": "|[mimo channel estimation using score-based generative models](https://arxiv.org/abs/2204.07122)|[score-based-channels](https://github.com/utcsilab/score-based-channels)|\n", "2111.00341": "|[causal discovery in linear structural causal models with deterministic relations](https://arxiv.org/abs/2111.00341)|[propagation-scm](https://github.com/yuqin-yang/propagation-scm)|\n", "2211.03984": "|[causal discovery in linear latent variable models subject to measurement error](https://arxiv.org/abs/2211.03984)|[sem-me-ur](https://github.com/yuqin-yang/sem-me-ur)|\n", "2211.04430": "|[bounded guaranteed algorithms for concave impurity minimization via maximum likelihood](https://arxiv.org/abs/2211.04430)|[linear_clustering](https://github.com/hoangle96/linear_clustering)|\n"}, "2022-11-10": {"2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2211.04167": "|[optimal discrete beamforming of reconfigurable intelligent surface](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2211.04846": "|[estimation of signal parameters using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2211.02937": "|[quantization adaptor for bit-level deep learning-based massive mimo csi feedback](https://arxiv.org/abs/2211.02937)|[qcrnet](https://github.com/zhang-xd18/qcrnet)|\n"}, "2022-11-11": {"2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "2211.03231": "|[graph neural networks for community detection on sparse graphs](https://arxiv.org/abs/2211.03231)|[gnn_community_detection](https://github.com/nhuang37/gnn_community_detection)|\n", "2211.05350": "|[the entropy rate of linear additive markov processes](https://arxiv.org/abs/2211.05350)|[LAMPEntropyEstimates](https://github.com/bridget-smart/LAMPEntropyEstimates)|\n"}, "2022-11-12": {}, "2022-11-13": {}, "2022-11-14": {"2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n", "1904.08576": "|[on low-rank trace regression under general sampling distribution](https://arxiv.org/abs/1904.08576)|[cv-impute](https://github.com/mohsenbayati/cv-impute)|\n"}, "2022-11-15": {"1912.01171": "|[universal adversarial perturbations for cnn classifiers in eeg-based bcis](https://arxiv.org/abs/1912.01171)|[UAP_EEG](https://github.com/ZihanLiu95/UAP_EEG)|\n", "2001.11569": "|[tiny noise, big mistakes: adversarial perturbations induce errors in brain-computer interface spellers](https://arxiv.org/abs/2001.11569)|[Speller-Attacks](https://github.com/ZhangXiao96/Speller-Attacks)|\n", "2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2209.00987": "|[a dataset and baseline approach for identifying usage states from non-intrusive power sensing with midas iot-based sensors](https://arxiv.org/abs/2209.00987)|[poweriot-state-identification](https://github.com/ai4society/poweriot-state-identification)|\n", "2211.06555": "|[transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel](https://arxiv.org/abs/2211.06555)|[relaxation-algorithm-on-ris-miso](https://github.com/dwyanedong/relaxation-algorithm-on-ris-miso)|\n", "2211.07579": "|[advancing the state-of-the-art for ecg analysis through structured state space models](https://arxiv.org/abs/2211.07579)|[ssm_ecg](https://github.com/tmehari/ssm_ecg)|\n", "2011.12160": "|[wyner-ziv estimators for distributed mean estimation with side information and optimization](https://arxiv.org/abs/2011.12160)|[wz_estimators](https://github.com/shubhamjha-46/wz_estimators)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n", "2211.07204": "|[multi-user frequency assignment for ultra-reliable mmwave two-ray channels](https://arxiv.org/abs/2211.07204)|[frequency-assignment-qmkp](https://github.com/klb2/frequency-assignment-qmkp)|\n"}, "2022-11-16": {"2109.05536": "|[link scheduling using graph neural networks](https://arxiv.org/abs/2109.05536)|[distgcn](https://github.com/zhongyuanzhao/distgcn)|\n", "2110.08581": "|[a tutorial on terahertz-band localization for 6g communication systems](https://arxiv.org/abs/2110.08581)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2203.07807": "|[end-to-end p300 bci using bayesian accumulation of riemannian probabilities](https://arxiv.org/abs/2203.07807)|[demos](https://github.com/timeflux/demos)|\n", "2206.14483": "|[data augmentation for learning predictive models on eeg: a systematic comparison](https://arxiv.org/abs/2206.14483)|[eeg-augmentation-benchmark-2022](https://github.com/eeg-augmentation-benchmark/eeg-augmentation-benchmark-2022)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n", "2211.07641": "|[motif-topology improved spiking neural network for the cocktail party effect and mcgurk effect](https://arxiv.org/abs/2211.07641)|[motif-snn](https://github.com/thomasaimondy/motif-snn)|\n", "2211.07867": "|[machine learning methods applied to cortico-cortical evoked potentials aid in localizing seizure onset zones](https://arxiv.org/abs/2211.07867)|[ml4hsoz](https://github.com/iangmalone/ml4hsoz)|\n", "2211.08385": "|[cardiacgen: a hierarchical deep generative model for cardiac signals](https://arxiv.org/abs/2211.08385)|[cardiac_gen_model](https://github.com/SENSE-Lab-OSU/cardiac_gen_model)|\n", "2201.10142": "|[almost optimal variance-constrained best arm identification](https://arxiv.org/abs/2201.10142)|[va-bai](https://github.com/y-hou/va-bai)|\n"}, "2022-11-17": {"2211.08635": "|[one-bit mmwave mimo channel estimation using deep generative networks](https://arxiv.org/abs/2211.08635)|[obq-gan-mimo-ce](https://github.com/akashsdoshi96/obq-gan-mimo-ce)|\n", "2211.08872": "|[mcnet: fuse multiple cues for multichannel speech enhancement](https://arxiv.org/abs/2211.08872)|[mcnet](https://github.com/audio-westlakeu/mcnet)|\n", "2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2211.09011": "|[detecting train driveshaft damages using accelerometer signals and differential convolutional neural networks](https://arxiv.org/abs/2211.09011)|[crack-detection-railway-axles-deep-learning](https://github.com/antialopezg/crack-detection-railway-axles-deep-learning)|\n", "2202.00964": "|[what has been enhanced in my knowledge-enhanced language model?](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n"}, "2022-11-18": {"2211.09702": "|[deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi](https://arxiv.org/abs/2211.09702)|[ris-miso-pda-deep-reinforcement-learning](https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning)|\n", "2211.09712": "|[sigt: an efficient end-to-end mimo-ofdm receiver framework based on transformer](https://arxiv.org/abs/2211.09712)|[sigt](https://github.com/sigtransformer/sigt)|\n", "2211.09171": "|[efficient urllc with a reconfigurable intelligent surface and imperfect device tracking](https://arxiv.org/abs/2211.09171)|[efficient-ris-aided-urllc](https://github.com/aau-cnt/efficient-ris-aided-urllc)|\n"}, "2022-11-19": {}, "2022-11-20": {}, "2022-11-21": {"2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2210.14476": "|[sinusoidal frequency estimation by gradient descent](https://arxiv.org/abs/2210.14476)|[sinusoidal-gradient-descent](https://github.com/ben-hayes/sinusoidal-gradient-descent)|\n", "2211.09927": "|[sar-based landslide classification pretraining leads to better segmentation](https://arxiv.org/abs/2211.09927)|[sar-landslide-detection-pretraining](https://github.com/vmboehm/sar-landslide-detection-pretraining)|\n", "2211.09939": "|[astrometric calibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging](https://arxiv.org/abs/2211.09939)|[icns_noralph_event_based-space_imaging-speed_dataset](https://github.com/nicralph213/icns_noralph_event_based-space_imaging-speed_dataset)|\n", "2211.10352": "|[towards fast single-trial online erp based brain-computer interface using dry eeg electrodes and neural networks: a pilot study](https://arxiv.org/abs/2211.10352)|[stimusto](https://github.com/okbalefthanded/stimusto)|\n"}, "2022-11-26": {}, "2022-11-25": {}, "2022-11-24": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2211.03171": "|[pan-tompkins++: a robust approach to detect r-peaks in ecg signals](https://arxiv.org/abs/2211.03171)|[Pan-Tompkins-Plus-Plus](https://github.com/Niaz-Imtiaz/Pan-Tompkins-Plus-Plus)|\n", "2211.12702": "|[evaluating feature attribution methods for electrocardiogram](https://arxiv.org/abs/2211.12702)|[attribution-ecg](https://github.com/snu-drl/attribution-ecg)|\n", "2211.13018": "|[challenges in gaussian processes for non intrusive load monitoring](https://arxiv.org/abs/2211.13018)|[nilm_gp](https://github.com/aadesh-1404/nilm_gp)|\n", "2211.13125": "|[eeg aided boosting of single-lead ecg based sleep staging with deep knowledge distillation](https://arxiv.org/abs/2211.13125)|[sleep_staging_kd](https://github.com/acrophase/sleep_staging_kd)|\n", "2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n", "2211.09676": "|[verified reversible programming for verified lossless compression](https://arxiv.org/abs/2211.09676)|[flipper](https://github.com/j-towns/flipper)|\n", "2211.12343": "|[diffusion model based posterior sampling for noisy linear inverse problems](https://arxiv.org/abs/2211.12343)|[dmps](https://github.com/mengxiangming/dmps)|\n"}, "2022-11-23": {"2111.11482": "|[graph neural networks with parallel neighborhood aggregations for graph classification](https://arxiv.org/abs/2111.11482)|[spin](https://github.com/siddhant-doshi/spin)|\n", "2201.09531": "|[communication-efficient stochastic zeroth-order optimization for federated learning](https://arxiv.org/abs/2201.09531)|[FedZO](https://github.com/noobyzy/FedZO)|\n", "2204.11942": "|[meta-af: meta-learning for adaptive filters](https://arxiv.org/abs/2204.11942)|[metaaf](https://github.com/adobe-research/metaaf)|\n", "2211.06555": "|[transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel](https://arxiv.org/abs/2211.06555)|[relaxation-algorithm-on-ris-miso](https://github.com/dwyanedong/relaxation-algorithm-on-ris-miso)|\n", "2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2211.12195": "|[ontology-aware learning and evaluation for audio tagging](https://arxiv.org/abs/2211.12195)|[ontology-aware-audio-tagging](https://github.com/haoheliu/ontology-aware-audio-tagging)|\n", "2111.06999": "|[quasifibrations of graphs to find symmetries in biological networks](https://arxiv.org/abs/2111.06999)|[qf](https://github.com/boldip/qf)|\n", "2112.01077": "|[blind super-resolution of point sources via projected gradient descent](https://arxiv.org/abs/2112.01077)|[pgdvhl](https://github.com/jcchen2017/pgdvhl)|\n", "2206.02604": "|[rate-distortion theoretic bounds on generalization error for distributed learning](https://arxiv.org/abs/2206.02604)|[datascience](https://github.com/romainchor/datascience)|\n"}, "2022-11-22": {"2111.02926": "|[openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion](https://arxiv.org/abs/2111.02926)|[openfwi](https://github.com/lanl/openfwi)|\n", "2211.10527": "|[pmnet: robust pathloss map prediction via supervised learning](https://arxiv.org/abs/2211.10527)|[pmnet](https://github.com/abman23/pmnet)|\n", "2211.11176": "|[spatiotemporal modeling of multivariate signals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2211.11460": "|[motor imagery decoding using ensemble curriculum learning and collaborative training](https://arxiv.org/abs/2211.11460)|[ensemble-mi](https://github.com/gzoumpourlis/ensemble-mi)|\n", "2211.11580": "|[neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics](https://arxiv.org/abs/2211.11580)|[nn-turb](https://github.com/cgranerob/nn-turb)|\n", "1705.02436": "|[nonlinear information bottleneck](https://arxiv.org/abs/1705.02436)|[nonlinear-IB-PyTorch](https://github.com/burklight/nonlinear-IB-PyTorch)|\n", "1908.08642": "|[a novel approach to the partial information decomposition](https://arxiv.org/abs/1908.08642)|[redundancy](https://github.com/artemyk/redundancy)|\n", "2211.10856": "|[diffeomorphic information neural estimation](https://arxiv.org/abs/2211.10856)|[dine](https://github.com/baosws/dine)|\n"}, "2022-11-27": {}, "2022-11-28": {"2203.16417": "|[low-complexity near-optimum symbol detection based on neural enhancement of factor graphs](https://arxiv.org/abs/2203.16417)|[gap](https://github.com/kit-cel/gap)|\n", "2209.12894": "|[biologically-plausible determinant maximization neural networks for blind separation of correlated sources](https://arxiv.org/abs/2209.12894)|[biologically-plausible-detmaxnns-for-blind-source-separation](https://github.com/bariscanbozkurt/biologically-plausible-detmaxnns-for-blind-source-separation)|\n", "2210.15793": "|[conditioning and sampling in variational diffusion models for speech super-resolution](https://arxiv.org/abs/2210.15793)|[diffwave-sr](https://github.com/yoyololicon/diffwave-sr)|\n", "2211.13006": "|[quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2211.13006)|[qcs-sgm](https://github.com/mengxiangming/qcs-sgm)|\n", "2204.03316": "|[structured gradient descent for fast robust low-rank hankel matrix completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n"}, "2022-11-29": {"2203.01442": "|[deformable radar polygon: a lightweight and predictable occupancy representation for short-range collision avoidance](https://arxiv.org/abs/2203.01442)|[deformable_radar_polygon_occupancy_representation](https://github.com/xiangyu-gao/deformable_radar_polygon_occupancy_representation)|\n", "2207.06120": "|[surimi: supervised radio map augmentation with deep learning and a generative adversarial network for fingerprint-based indoor positioning](https://arxiv.org/abs/2207.06120)|[surimi](https://github.com/darwinquezada/surimi)|\n", "2211.15379": "|[semi-supervised specific emitter identification method using metric-adversarial training](https://arxiv.org/abs/2211.15379)|[mat-based-ss-sei](https://github.com/lovelymimola/mat-based-ss-sei)|\n", "2211.15482": "|[discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression](https://arxiv.org/abs/2211.15482)|[vars](https://github.com/xinychen/vars)|\n"}, "2022-11-30": {"2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2211.15365": "|[defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders](https://arxiv.org/abs/2211.15365)|[dae_for_adv_attacks_in_mimo](https://github.com/jess-jpg-txt/dae_for_adv_attacks_in_mimo)|\n", "2211.15997": "|[medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations](https://arxiv.org/abs/2211.15997)|[fim_eikonal](https://github.com/kit-ibt/fim_eikonal)|\n", "2211.15744": "|[sketch-and-solve approaches to k-means clustering by semidefinite programming](https://arxiv.org/abs/2211.15744)|[sketch-and-solve_kmeans](https://github.com/kkylie/sketch-and-solve_kmeans)|\n"}, "2022-12-01": {"2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2211.16784": "|[robust and fast measure of information via low-rank representation](https://arxiv.org/abs/2211.16784)|[lrmi](https://github.com/gamepiaynmo/lrmi)|\n"}, "2022-12-02": {"2212.00710": "|[fully on-board low-power localization with multizone time-of-flight sensors on nano-uavs](https://arxiv.org/abs/2212.00710)|[Matrix_ToF_Drones](https://github.com/ETH-PBL/Matrix_ToF_Drones)|\n", "2212.00724": "|[swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition](https://arxiv.org/abs/2212.00724)|[SWL-Adapt](https://github.com/Rxannro/SWL-Adapt)|\n"}, "2022-12-03": {}, "2022-12-04": {}, "2022-12-05": {"2211.04167": "|[optimal discrete beamforming of reconfigurable intelligent surfaces](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2212.00973": "|[a domain-knowledge-inspired music embedding space and a novel attention mechanism for symbolic music modeling](https://arxiv.org/abs/2212.00973)|[fundamentalmusicembedding](https://github.com/guozixunnicolas/fundamentalmusicembedding)|\n", "2212.01209": "|[fecam: frequency enhanced channel attention mechanism for time series forecasting](https://arxiv.org/abs/2212.01209)|[fecam](https://github.com/zero-coder/fecam)|\n", "2212.01309": "|[wigner distribution deconvolution adaptation for live ptychography reconstruction](https://arxiv.org/abs/2212.01309)|[livewdd](https://github.com/ptychography-4-0/livewdd)|\n"}, "2022-12-06": {"2105.02786": "|[lggnet: learning from local-global-graph representations for brain-computer interface](https://arxiv.org/abs/2105.02786)|[LGG](https://github.com/yi-ding-cs/LGG)|\n", "2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2212.01421": "|[signal enhancement for two-dimensional cryo-em data processing](https://arxiv.org/abs/2212.01421)|[cryoemsignalenhancement](https://github.com/tamirbendory/cryoemsignalenhancement)|\n", "2212.01816": "|[joint graph learning from gaussian observations in the presence of hidden nodes](https://arxiv.org/abs/2212.01816)|[hidden_joint_gaussian_inf](https://github.com/reysam93/hidden_joint_gaussian_inf)|\n", "2212.02164": "|[spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks](https://arxiv.org/abs/2212.02164)|[Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks](https://github.com/shiwensuoluo/Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks)|\n", "2212.02417": "|[node-wise domain adaptation based on transferable attention for recognizing road rage via eeg](https://arxiv.org/abs/2212.02417)|[dataandcode](https://github.com/1cec0ffee/dataandcode)|\n", "2212.01572": "|[approximate message passing for multi-layer estimation in rotationally invariant models](https://arxiv.org/abs/2212.01572)|[ML-RI-GAMP](https://github.com/sparc-lab/ML-RI-GAMP)|\n"}, "2022-12-07": {"2203.16940": "|[direction of arrival estimation of sound sources using icosahedral cnns](https://arxiv.org/abs/2203.16940)|[icodoa](https://github.com/daviddiazguerra/icodoa)|\n", "2205.00222": "|[storseismic: a new paradigm in deep learning for seismic processing](https://arxiv.org/abs/2205.00222)|[storseismic](https://github.com/swag-kaust/storseismic)|\n"}, "2022-12-08": {"2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2208.14017": "|[gridless 3d recovery of image sources from room impulse responses](https://arxiv.org/abs/2208.14017)|[acoustic-sfw](https://github.com/sprunckt/acoustic-sfw)|\n", "2212.03329": "|[enhancing low-density eeg-based brain-computer interfaces with similarity-keeping knowledge distillation](https://arxiv.org/abs/2212.03329)|[eeg-kd](https://github.com/cecnl/eeg-kd)|\n"}, "2022-12-09": {"2107.10331": "|[dynamic shimming in the cervical spinal cord for multi-echo gradient-echo imaging at 3 t](https://arxiv.org/abs/2107.10331)|[realtime-dynamic-shimming](https://github.com/neuropoly/realtime-dynamic-shimming)|\n", "2207.09418": "|[unrolled algorithms for group synchronization](https://arxiv.org/abs/2207.09418)|[unrolling_synchronization](https://github.com/noamjanco/unrolling_synchronization)|\n", "2212.04175": "|[greeneyes: an air quality evaluating model based on wavenet](https://arxiv.org/abs/2212.04175)|[AirEvaluation](https://github.com/AI-Huang/AirEvaluation)|\n", "2212.04223": "|[vicious classifiers: data reconstruction attack at inference time](https://arxiv.org/abs/2212.04223)|[vicious-classifiers](https://github.com/mmalekzadeh/vicious-classifiers)|\n"}, "2022-12-10": {}, "2022-12-11": {}, "2022-12-12": {"2205.11838": "|[model-based and graph-based priors for group testing](https://arxiv.org/abs/2205.11838)|[priors_group_testing](https://github.com/ethangela/priors_group_testing)|\n", "2212.04936": "|[deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms](https://arxiv.org/abs/2212.04936)|[dilated_conv_attention.ipynb](https://github.com/alrzsdgh/LBBB-deep-learning/blob/main/dilated_conv_attention.ipynb)|\n", "2207.07748": "|[symbol-level grand for high-order modulation over flat fading channels](https://arxiv.org/abs/2207.07748)|[sGRAND](https://github.com/IoannisChatzigeorgiou/sGRAND)|\n", "2211.07208": "|[a lego-brick approach to coding for network communication](https://arxiv.org/abs/2211.07208)|[lego-brick](https://github.com/nadimgh/lego-brick)|\n"}, "2022-12-13": {"2110.02998": "|[federated learning via plurality vote](https://arxiv.org/abs/2110.02998)|[fedvote](https://github.com/kai-yue/fedvote)|\n", "2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2205.01629": "|[autofi: towards automatic wifi human sensing via geometric self-supervised learning](https://arxiv.org/abs/2205.01629)|[wifi-csi-sensing-benchmark](https://github.com/xyanchen/wifi-csi-sensing-benchmark)|\n", "2212.02164": "|[spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks](https://arxiv.org/abs/2212.02164)|[Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks](https://github.com/shiwensuoluo/Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks)|\n", "2212.05104": "|[max filtering with reflection groups](https://arxiv.org/abs/2212.05104)|[reflection-groups](https://github.com/daniel-packer/reflection-groups)|\n"}, "2022-12-14": {"2205.07390": "|[learning representations for new sound classes with continual self-supervised learning](https://arxiv.org/abs/2205.07390)|[cssl_sound](https://github.com/zhepeiw/cssl_sound)|\n", "2206.04992": "|[artificial intelligence enabled noma towards next generation multiple access](https://arxiv.org/abs/2206.04992)|[ai_noma](https://github.com/xiaoxiaxusummer/ai_noma)|\n"}, "2022-12-15": {"2207.07753": "|[do not sleep on traditional machine learning: simple and interpretable techniques are competitive to deep learning for sleep scoring](https://arxiv.org/abs/2207.07753)|[sleep-linear](https://github.com/predict-idlab/sleep-linear)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2212.07230": "|[network coding: an optimization approach](https://arxiv.org/abs/2212.07230)|[network_codes](https://github.com/christopherhojny/network_codes)|\n"}, "2022-12-16": {"2010.11647": "|[a quaternion-valued variational autoencoder](https://arxiv.org/abs/2010.11647)|[QVAE](https://github.com/eleGAN23/QVAE)|\n", "2104.05499": "|[l3das21 challenge: machine learning for 3d audio signal processing](https://arxiv.org/abs/2104.05499)|[L3DAS21](https://github.com/l3das/L3DAS21)|\n", "2202.10372": "|[l3das22 challenge: learning 3d audio sources in a real office environment](https://arxiv.org/abs/2202.10372)|[l3das22](https://github.com/l3das/l3das22)|\n", "2207.02242": "|[state-augmented learnable algorithms for resource management in wireless networks](https://arxiv.org/abs/2207.02242)|[stateaugmented_rrm_gnn](https://github.com/navid-naderi/stateaugmented_rrm_gnn)|\n", "2212.07816": "|[duidd: deep-unfolded interleaved detection and decoding for mimo wireless systems](https://arxiv.org/abs/2212.07816)|[duidd](https://github.com/iip-group/duidd)|\n"}, "2022-12-17": {}, "2022-12-18": {}, "2022-12-19": {"2207.07859": "|[deep learning and its applications to wifi human sensing: a benchmark and a tutorial](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2212.08558": "|[simulating road spray effects in automotive lidar sensor models](https://arxiv.org/abs/2212.08558)|[reflection_based_lidar_object_model](https://github.com/openmsl/reflection_based_lidar_object_model)|\n"}, "2022-12-20": {"2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n", "2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2212.09019": "|[fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement](https://arxiv.org/abs/2212.09019)|[FullSubNet](https://github.com/haoxiangsnr/FullSubNet)|\n"}, "2022-12-21": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n", "2209.08223": "|[joint network topology inference via a shared graphon model](https://arxiv.org/abs/2209.08223)|[jointinf_graphs_graphon](https://github.com/mn51/jointinf_graphs_graphon)|\n"}, "2022-12-22": {"2210.04818": "|[rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2210.04818)|[rhombic_grids](https://github.com/mschiffn/rhombic_grids)|\n", "2212.10567": "|[anticancer peptides classification using kernel sparse representation classifier](https://arxiv.org/abs/2212.10567)|[acp-kernel-src](https://github.com/ehtisham-fazal/acp-kernel-src)|\n", "2203.00804": "|[nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems](https://arxiv.org/abs/2203.00804)|[as-nesta-net](https://github.com/mneyrane/as-nesta-net)|\n"}, "2022-12-23": {"2212.11594": "|[electromagnetic based communication model for dynamic metasurface antennas](https://arxiv.org/abs/2212.11594)|[dma_model](https://github.com/robinjw/dma_model)|\n"}, "2022-12-24": {}, "2022-12-25": {}, "2022-12-26": {"2206.04420": "|[neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy](https://arxiv.org/abs/2206.04420)|[downsample_open_eeg](https://github.com/otoolej/downsample_open_eeg)|\n", "2210.10855": "|[spectral subspace dictionary learning](https://arxiv.org/abs/2210.10855)|[spectral_dict_learn](https://github.com/sew347/spectral_dict_learn)|\n", "2212.12191": "|[deep unfolding-based weighted averaging for federated learning under heterogeneous environments](https://arxiv.org/abs/2212.12191)|[deepunfolding-based-fl](https://github.com/a-nakai-k/deepunfolding-based-fl)|\n"}, "2022-12-27": {"2112.13630": "|[permutation matrix modulation](https://arxiv.org/abs/2112.13630)|[permutation-matrix-modulation](https://github.com/faddlis/permutation-matrix-modulation)|\n", "2203.00418": "|[recovery of missing sensor data by reconstructing time-varying graph signals](https://arxiv.org/abs/2203.00418)|[EUSIPCO_22_Sobolev](https://github.com/anindya2001/EUSIPCO_22_Sobolev)|\n", "2212.12998": "|[link-level simulator for 5g localization](https://arxiv.org/abs/2212.12998)|[5G_Positioning_Link_Level_Simulator%20v1.0.rar](https://github.com/Group85GP/Group85GP/blob/main/5G_Positioning_Link_Level_Simulator%20v1.0.rar)|\n", "1905.06859": "|[doubly transitive lines ii: almost simple symmetries](https://arxiv.org/abs/1905.06859)|[2-tran-II](https://github.com/jwiverson/2-tran-II)|\n"}, "2022-12-28": {}, "2022-12-29": {"2212.13477": "|[clock and orientation-robust simultaneous radio localization and mapping at millimeter wave bands](https://arxiv.org/abs/2212.13477)|[castro-5g](https://github.com/gomezcuba/castro-5g)|\n", "2212.13890": "|[ecg-based electrolyte prediction: evaluating regression and probabilistic methods](https://arxiv.org/abs/2212.13890)|[ecg-electrolyte-regression](https://github.com/philippvb/ecg-electrolyte-regression)|\n", "1203.3442": "|[a low multiplicative complexity fast recursive dct-2 algorithm](https://arxiv.org/abs/1203.3442)|[Fast_recursive_DCT](https://github.com/Mak-Sim/Fast_recursive_DCT)|\n"}, "2022-12-30": {}, "2022-12-31": {}, "2023-01-01": {}, "2023-01-02": {"2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2208.08342": "|[semantic communications with discrete-time analog transmission: a papr perspective](https://arxiv.org/abs/2208.08342)|[semanticpapr](https://github.com/lynshao/semanticpapr)|\n", "2212.14051": "|[power control for 6g industrial wireless subnetworks: a graph neural network approach](https://arxiv.org/abs/2212.14051)|[Power_Control_GNN](https://github.com/danieloaAAU/Power_Control_GNN)|\n", "2212.14353": "|[sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: a causal approach](https://arxiv.org/abs/2212.14353)|[AirSheaf](https://github.com/a11to1n3/AirSheaf)|\n", "2212.14550": "|[similarity-based predictive maintenance framework for rotating machinery](https://arxiv.org/abs/2212.14550)|[similarity-based-predictive-maintenance-framework-for-rotating-machinery](https://github.com/western-oc2-lab/similarity-based-predictive-maintenance-framework-for-rotating-machinery)|\n", "2212.14732": "|[lab-scale vibration analysis dataset and baseline methods for machinery fault diagnosis with machine learning](https://arxiv.org/abs/2212.14732)|[vbl-va001](https://github.com/bagustris/vbl-va001)|\n"}, "2023-01-03": {"2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2110.04717": 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selection](https://arxiv.org/abs/2301.00557)|[dynamic-selection](https://github.com/iancovert/dynamic-selection)|\n", "2301.00621": "|[data-driven optimization of directed information over discrete alphabets](https://arxiv.org/abs/2301.00621)|[discrete_di_optimization](https://github.com/dortsur/discrete_di_optimization)|\n"}, "2023-01-04": {"2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2212.14006": "|[anxolotl, an anxiety companion app -- stress detection](https://arxiv.org/abs/2212.14006)|[cfp-workshop-and-challenge-wellbeing](https://github.com/matpato/cfp-workshop-and-challenge-wellbeing)|\n", "2102.13416": "|[moreau-yosida $f$-divergences](https://arxiv.org/abs/2102.13416)|[moreau-yosida-f-divergences](https://github.com/renyi-ai/moreau-yosida-f-divergences)|\n"}, "2023-01-05": {"2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n"}, "2023-01-06": {"2111.04593": "|[frequency-dependent f-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n"}, "2023-01-07": {}, "2023-01-08": {}, "2023-01-09": {"2102.10846": "|[expanding boundaries of gap safe screening](https://arxiv.org/abs/2102.10846)|[kl_screening](https://github.com/cassiofragadantas/kl_screening)|\n"}, "2023-01-10": {"2202.02673": "|[physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading](https://arxiv.org/abs/2202.02673)|[physfad](https://github.com/philipp-delhougne/physfad)|\n", "2301.02750": "|[principal component analysis in space forms](https://arxiv.org/abs/2301.02750)|[HoroPCA](https://github.com/HazyResearch/HoroPCA)|\n", "2301.03092": "|[deep injective prior for inverse scattering](https://arxiv.org/abs/2301.03092)|[scattering_injective_prior](https://github.com/swing-research/scattering_injective_prior)|\n", "2301.03470": "|[unsupervised multivariate time-series transformers for seizure identification on eeg](https://arxiv.org/abs/2301.03470)|[eeg_mvts](https://github.com/ilkyyldz95/eeg_mvts)|\n", "2211.05350": "|[the entropy rate of linear additive markov processes](https://arxiv.org/abs/2211.05350)|[LAMPEntropyEstimates](https://github.com/bridget-smart/LAMPEntropyEstimates)|\n"}, "2023-01-11": {"2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2202.03875": "|[mixcycle: unsupervised speech separation via cyclic mixture permutation invariant training](https://arxiv.org/abs/2202.03875)|[mixcycle](https://github.com/ertug/mixcycle)|\n", "2205.07390": "|[learning representations for new sound classes with continual self-supervised learning](https://arxiv.org/abs/2205.07390)|[cssl_sound](https://github.com/zhepeiw/cssl_sound)|\n", "2206.10968": "|[multiple-access channel coding with non-signaling correlations](https://arxiv.org/abs/2206.10968)|[mac_ns_lp](https://github.com/pferme/mac_ns_lp)|\n"}, "2023-01-12": {"2109.10581": "|[da-music: data-driven doa estimation via deep augmented music algorithm](https://arxiv.org/abs/2109.10581)|[tvt23](https://github.com/da-music/tvt23)|\n"}, "2023-01-13": {"2204.03173": "|[automated sleep staging via parallel frequency-cut attention](https://arxiv.org/abs/2204.03173)|[transformer_sleep](https://github.com/zhengchen3/transformer_sleep)|\n", "2301.04861": "|[grant-free random access of iot devices in massive mimo with partial csi](https://arxiv.org/abs/2301.04861)|[grant-free-random-access-partial-csi](https://github.com/wavecore-research/grant-free-random-access-partial-csi)|\n", "2102.12586": "|[a stochastic optimization framework for fair risk minimization](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2023-01-14": {}, "2023-01-15": {}, "2023-01-16": {"2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n"}, "2023-01-17": {"2206.02298": "|[mical: mutual information-based cnn-aided learned factor graphs for seizure detection from eeg signals](https://arxiv.org/abs/2206.02298)|[cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical](https://github.com/bsalafia/cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical)|\n"}, "2023-01-18": {"2004.11690": "|[q-eegnet: an energy-efficient 8-bit quantized parallel eegnet implementation for edge motor-imagery brain--machine interfaces](https://arxiv.org/abs/2004.11690)|[q-eegnet](https://github.com/pulp-platform/q-eegnet)|\n", "2012.02134": "|[k-deep simplex: deep manifold learning via local dictionaries](https://arxiv.org/abs/2012.02134)|[manifold-learning-with-simplex-constraints](https://github.com/pbt17/manifold-learning-with-simplex-constraints)|\n", "2205.11838": "|[model-based and graph-based priors for group testing](https://arxiv.org/abs/2205.11838)|[priors_group_testing](https://github.com/ethangela/priors_group_testing)|\n", "2207.01556": "|[semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation](https://arxiv.org/abs/2207.01556)|[audio-samples2](https://github.com/chengguoliang0/audio-samples2)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n", "2301.06060": "|[crc-aided learned ensembles of belief-propagation polar decoders](https://arxiv.org/abs/2301.06060)|[polar-ensembles](https://github.com/tomerraviv95/polar-ensembles)|\n"}, "2023-01-19": {"2102.04170": "|[learning task-oriented communication for edge inference: an information bottleneck approach](https://arxiv.org/abs/2102.04170)|[VL-VFE](https://github.com/shaojiawei07/VL-VFE)|\n", "2208.00542": "|[descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal](https://arxiv.org/abs/2208.00542)|[score-based-ecg-denoising](https://github.com/huayuliarizona/score-based-ecg-denoising)|\n", "2210.05582": "|[digital twin-based multiple access optimization and monitoring via model-driven bayesian learning](https://arxiv.org/abs/2210.05582)|[bayesian-dt](https://github.com/kclip/bayesian-dt)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2301.07452": "|[sen2dwater: a novel multispectral and multitemporal dataset and deep learning benchmark for water resources analysis](https://arxiv.org/abs/2301.07452)|[impact-of-climate-change-on-water-resources](https://github.com/francescomauro1998/impact-of-climate-change-on-water-resources)|\n"}, "2023-01-20": {"2301.07820": "|[emergence of the svd as an interpretable factorization in deep learning for inverse problems](https://arxiv.org/abs/2301.07820)|[descrambling-nn](https://github.com/shashanksule/descrambling-nn)|\n"}, "2023-01-21": {}, "2023-01-22": {}, "2023-01-23": {"2301.08448": "|[source-free subject adaptation for eeg-based visual recognition](https://arxiv.org/abs/2301.08448)|[Deep-BCI](https://github.com/DeepBCI/Deep-BCI)|\n"}, "2023-01-24": {"2301.09126": "|[propagation of linear uncertainties through multiline thru-reflect-line calibration](https://arxiv.org/abs/2301.09126)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2301.09165": "|[energy prediction using federated learning](https://arxiv.org/abs/2301.09165)|[energy_prediction](https://github.com/sanjana-sarda/energy_prediction)|\n"}, "2023-01-25": {"2201.12634": "|[deep task-based analog-to-digital conversion](https://arxiv.org/abs/2201.12634)|[adc-learning-hyperopt](https://github.com/arielamar123/adc-learning-hyperopt)|\n", "2301.09439": "|[autoencoder-based joint communication and sensing of multiple targets](https://arxiv.org/abs/2301.09439)|[JCAS_multitarg](https://github.com/frozenhairdryer/JCAS_multitarg)|\n", "2301.10171": "|[spectral cross-domain neural network with soft-adaptive threshold spectral enhancement](https://arxiv.org/abs/2301.10171)|[scdnn-ts](https://github.com/dl-wg/scdnn-ts)|\n", "2211.08327": "|[weighted sum-rate maximization with causal inference for latent interference estimation](https://arxiv.org/abs/2211.08327)|[research-weighted-sum-rate](https://github.com/youlei202/research-weighted-sum-rate)|\n"}, "2023-01-26": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2102.05433": "|[a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization](https://arxiv.org/abs/2102.05433)|[iADMM](https://github.com/nhatpd/iADMM)|\n", "2206.08022": "|[partial identifiability for nonnegative matrix factorization](https://arxiv.org/abs/2206.08022)|[nmf-partial-identifiability](https://gitlab.com/ngillis/nmf-partial-identifiability)|\n", "2301.10445": "|[high-throughput rate-flexible combinational decoders for multi-kernel polar codes](https://arxiv.org/abs/2301.10445)|[polar-compiler](https://github.com/hosseinrezaeii91/polar-compiler)|\n"}, "2023-01-27": {"2301.11166": "|[flex-net: a graph neural network approach to resource management in flexible duplex networks](https://arxiv.org/abs/2301.11166)|[flex-net](https://github.com/tharaka-perera/flex-net)|\n"}, "2023-01-28": {}, "2023-01-29": {}, "2023-01-30": {"2210.05582": "|[digital twin-based multiple access optimization and monitoring via model-driven bayesian learning](https://arxiv.org/abs/2210.05582)|[bayesian-dt](https://github.com/kclip/bayesian-dt)|\n", "2301.11450": "|[smile: robust network localization via sparse and low-rank matrix decomposition](https://arxiv.org/abs/2301.11450)|[smile-network-localization](https://github.com/anrgusc/smile-network-localization)|\n"}, "2023-01-31": {"2110.05266": "|[chaos as an interpretable benchmark for forecasting and data-driven modelling](https://arxiv.org/abs/2110.05266)|[dysts](https://github.com/williamgilpin/dysts)|\n", "2211.02922": "|[beyond hawkes: neural multi-event forecasting on spatio-temporal point processes](https://arxiv.org/abs/2211.02922)|[neural-spatio-temporal-probabilistic-transformers](https://github.com/negar-erfanian/neural-spatio-temporal-probabilistic-transformers)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[audioldm_eval](https://github.com/haoheliu/audioldm_eval)|\n", "2301.12466": "|[kernelized cumulants: beyond kernel mean embeddings](https://arxiv.org/abs/2301.12466)|[kernelized-cumulants](https://github.com/patricbonnier/kernelized-cumulants)|\n"}, "2023-02-01": {"2301.13516": "|[recurrences reveal shared causal drivers of complex time series](https://arxiv.org/abs/2301.13516)|[shrec](https://github.com/williamgilpin/shrec)|\n", "2301.13647": "|[bayesian estimation of information-theoretic metrics for sparsely sampled distributions](https://arxiv.org/abs/2301.13647)|[info-metric-estimation](https://github.com/angelopiga/info-metric-estimation)|\n"}, "2023-02-02": {"2209.13553": "|[source detection via multi-label classification](https://arxiv.org/abs/2209.13553)|[Signal_detector](https://github.com/jkrishnan95v/Signal_detector)|\n"}, "2023-02-03": {"2212.04172": "|[closed loop bci system for cybathlon 2020](https://arxiv.org/abs/2212.04172)|[GoPar](https://github.com/kolcs/GoPar)|\n", "2302.00992": "|[exposing the csi: a systematic investigation of csi-based wi-fi sensing capabilities and limitations](https://arxiv.org/abs/2302.00992)|[exposing-the-csi](https://github.com/ansresearch/exposing-the-csi)|\n", "2204.01612": "|[neural estimation of the rate-distortion function with applications to operational source coding](https://arxiv.org/abs/2204.01612)|[nerd-rcc](https://github.com/leieric/nerd-rcc)|\n", "2211.02863": "|[inductive graph transformer for delivery time estimation](https://arxiv.org/abs/2211.02863)|[igt-wsdm23](https://github.com/enoche/igt-wsdm23)|\n"}, "2023-02-04": {}, "2023-02-05": {}, "2023-02-06": {"2207.08100": "|[load modulation for backscatter communication: channel capacity and capacity-approaching finite constellations](https://arxiv.org/abs/2207.08100)|[backscatteratcapacity](https://github.com/grdu/backscatteratcapacity)|\n", "2208.11333": "|[enhancing deep learning performance of massive mimo csi feedback](https://arxiv.org/abs/2208.11333)|[jpts](https://github.com/sijieji/jpts)|\n", "2302.00847": "|[low-complexity precoding for extremely large-scale mimo over non-stationary channels](https://arxiv.org/abs/2302.00847)|[Low-complexity-precoding-algorithm-for-XL-MIMO](https://github.com/bokaixu5/Low-complexity-precoding-algorithm-for-XL-MIMO)|\n", "2302.01924": "|[self-supervised enhancement of stimulus-evoked brain response data](https://arxiv.org/abs/2302.01924)|[shift_detection_icassp2023](https://github.com/exporl/shift_detection_icassp2023)|\n"}, "2023-02-07": {"2007.01228": "|[maestro-x: distributed orchestration of rotary-wing uav-relay swarms](https://arxiv.org/abs/2007.01228)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2208.12472": "|[graph-based sequential beamforming](https://arxiv.org/abs/2208.12472)|[sequentialvariationalbayesdoa](https://github.com/noiselabucsd/sequentialvariationalbayesdoa)|\n", "2302.02302": "|[achieving robust generalization for wireless channel estimation neural networks by designed training data](https://arxiv.org/abs/2302.02302)|[ICC_2023](https://github.com/dianixn/ICC_2023)|\n", "2302.02436": "|[modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers](https://arxiv.org/abs/2302.02436)|[bayesian-learning-for-receivers](https://github.com/tomerraviv95/bayesian-learning-for-receivers)|\n"}, "2023-02-08": {"2203.01178": "|[dct-former: efficient self-attention with discrete cosine transform](https://arxiv.org/abs/2203.01178)|[dct-former-public](https://github.com/cscribano/dct-former-public)|\n", "2210.00941": "|[unsupervised multimodal change detection based on structural relationship graph representation learning](https://arxiv.org/abs/2210.00941)|[srgcae](https://github.com/chenhongruixuan/srgcae)|\n", "2302.03633": "|[identification of power system oscillation modes using blind source separation based on copula statistic](https://arxiv.org/abs/2302.03633)|[hobmi](https://github.com/apooja1/hobmi)|\n"}, "2023-02-09": {"1904.01775": "|[multimodal representation learning using deep multiset canonical correlation](https://arxiv.org/abs/1904.01775)|[mica-deep-mcca](https://github.com/usc-sail/mica-deep-mcca)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2302.04097": "|[astride: adaptive symbolization for time series databases](https://arxiv.org/abs/2302.04097)|[astride](https://github.com/sylvaincom/astride)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.04215": "|[a vector quantized approach for text to speech synthesis on real-world spontaneous speech](https://arxiv.org/abs/2302.04215)|[mqtts](https://github.com/b04901014/mqtts)|\n"}, "2023-02-10": {"2302.02477": "|[offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment](https://arxiv.org/abs/2302.02477)|[vlbm](https://github.com/gaoqitong/vlbm)|\n", "2302.04368": "|[channelformer: attention based neural solution for wireless channel estimation and effective online training](https://arxiv.org/abs/2302.04368)|[Channelformer](https://github.com/dianixn/Channelformer)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n", "2302.04855": "|[trading information between latents in hierarchical variational autoencoders](https://arxiv.org/abs/2302.04855)|[hit](https://github.com/timxzz/hit)|\n"}, "2023-02-11": {}, "2023-02-12": {}, "2023-02-13": {"2202.10371": "|[coordinated sum-rate maximization in multicell mu-mimo with deep unrolling](https://arxiv.org/abs/2202.10371)|[gcnwmmse](https://github.com/lsky96/gcnwmmse)|\n", "2302.05151": "|[binomial line cox processes: statistical characterization and applications in wireless network analysis](https://arxiv.org/abs/2302.05151)|[blcp](https://github.com/mt19146/blcp)|\n"}, "2023-02-14": {"2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2203.14359": "|[online meta-learning for hybrid model-based deep receivers](https://arxiv.org/abs/2203.14359)|[metadeepsic](https://github.com/tomerraviv95/metadeepsic)|\n", "2205.06306": "|[probabilistic estimation of instantaneous frequencies of chirp signals](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2302.05812": "|[software-defined mimo ofdm joint radar-communication platform with fully digital mmwave architecture](https://arxiv.org/abs/2302.05812)|[gr-mimo-ofdm-jrc](https://github.com/ceyhunozkaptan/gr-mimo-ofdm-jrc)|\n", "2202.00129": "|[fundamental limits for sensor-based robot control](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n", "2301.06060": "|[crc-aided learned ensembles of belief-propagation polar decoders](https://arxiv.org/abs/2301.06060)|[polar-ensembles](https://github.com/tomerraviv95/polar-ensembles)|\n", "2302.05869": "|[efficient integer retrieving from unordered compressed sequences](https://arxiv.org/abs/2302.05869)|[directaccess](https://github.com/zavadsky/directaccess)|\n"}, "2023-02-15": {"2208.06991": "|[towards interpretable sleep stage classification using cross-modal transformers](https://arxiv.org/abs/2208.06991)|[cross-modal-transformer](https://github.com/jathurshan0330/cross-modal-transformer)|\n", "2302.06683": "|[enhancing multivariate time series classifiers through self-attention and relative positioning infusion](https://arxiv.org/abs/2302.06683)|[timeseriesclassification-tps](https://github.com/mehryar72/timeseriesclassification-tps)|\n", "2302.07153": "|[a novel poisoned water detection method using smartphone embedded wi-fi technology and machine learning algorithms](https://arxiv.org/abs/2302.07153)|[poisoned_water_detection](https://github.com/halgurd18/poisoned_water_detection)|\n", "2302.07190": "|[context query simulation for smart carparking scenarios in the melbourne cdb](https://arxiv.org/abs/2302.07190)|[context-query-simulator](https://github.com/shakthiyasas/context-query-simulator)|\n"}, "2023-02-16": {"2302.07601": "|[deep learning for hybrid beamforming with finite feedback in gsm aided mmwave mimo systems](https://arxiv.org/abs/2302.07601)|[gsmefbnet](https://github.com/kylin9511/gsmefbnet)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n"}, "2023-02-17": {"2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2302.08053": "|[selective noise suppression in random svpwm to shape the voltage and current spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2302.08444": "|[a millimeter-wave software-defined radio for wireless experimentation](https://arxiv.org/abs/2302.08444)|[mmwavesdr](https://github.com/alphansahin/mmwavesdr)|\n"}, "2023-02-18": {}, "2023-02-19": {}, "2023-02-20": {"2207.06127": "|[mm-alt: a multimodal automatic lyric transcription system](https://arxiv.org/abs/2207.06127)|[MM_ALT](https://github.com/guxm2021/MM_ALT)|\n", "2207.07859": "|[sensefi: a library and benchmark on deep-learning-empowered wifi human sensing](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2208.07830": "|[detecting non-overlapping signals with dynamic programming](https://arxiv.org/abs/2208.07830)|[Signal-detection-with-dynamic-programming](https://github.com/MordechaiRoth1/Signal-detection-with-dynamic-programming)|\n", "2210.05888": "|[calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements](https://arxiv.org/abs/2210.05888)|[uwb_calibration](https://github.com/decargroup/uwb_calibration)|\n", "2211.08491": "|[real-time wireless ecg-derived respiration rate estimation using an autoencoder with a dct layer](https://arxiv.org/abs/2211.08491)|[icassp2023-ae-dct](https://github.com/phy710/icassp2023-ae-dct)|\n", "2301.11328": "|[cell-free isac mimo systems: joint sensing and communication beamforming](https://arxiv.org/abs/2301.11328)|[Cell-free-ISAC-beamforming](https://github.com/umut-demirhan/Cell-free-ISAC-beamforming)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[audioldm_eval](https://github.com/haoheliu/audioldm_eval)|\n", "2302.08584": "|[propagation measurements and analyses at 28 ghz via an autonomous beam-steering platform](https://arxiv.org/abs/2302.08584)|[SPAVE-28G](https://github.com/bharathkeshavamurthy/SPAVE-28G)|\n", "2302.08797": "|[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|\n", "2302.09022": "|[smart 6g sky for green mobile iot networks](https://arxiv.org/abs/2302.09022)|[smart-6g-sky-for-green-mobile-iot-networks](https://github.com/qusaibshiwa/smart-6g-sky-for-green-mobile-iot-networks)|\n", "2204.09938": "|[ultra-marginal feature importance: learning from data with causal guarantees](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/hydroml/umfi)|\n", "2205.08406": "|[raw radar data based object detection and heading estimation using cross attention](https://arxiv.org/abs/2205.08406)|[crossattention_radar_detector](https://github.com/ravikothari510/crossattention_radar_detector)|\n", "2302.09057": "|[consistent diffusion models: mitigating sampling drift by learning to be consistent](https://arxiv.org/abs/2302.09057)|[cdm](https://github.com/giannisdaras/cdm)|\n"}, "2023-02-21": {"2205.11578": "|[bolt: fused window transformers for fmri time series analysis](https://arxiv.org/abs/2205.11578)|[bolt](https://github.com/icon-lab/bolt)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[deeppvmapper](https://github.com/gabrielkasmi/deeppvmapper)|\n", "2211.13006": "|[quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2211.13006)|[qcs-sgm](https://github.com/mengxiangming/qcs-sgm)|\n", "2302.09332": "|[incipient fault detection in power distribution system: a time-frequency embedded deep learning based approach](https://arxiv.org/abs/2302.09332)|[AD-TFM-AT-Model](https://github.com/smartlab-hfut/AD-TFM-AT-Model)|\n", "2302.10073": "|[implementation of dnn based data detector for qpsk systems](https://arxiv.org/abs/2302.10073)|[qpsk_sdr_dnn_detector](https://github.com/abadi13/qpsk_sdr_dnn_detector)|\n", "2302.10147": "|[a dnn based normalized time-frequency weighted criterion for robust wideband doa estimation](https://arxiv.org/abs/2302.10147)|[dnnnormtimefreq4doa](https://github.com/kjason/dnnnormtimefreq4doa)|\n", "2209.15265": "|[overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery](https://arxiv.org/abs/2209.15265)|[neural-recovery](https://github.com/pilancilab/neural-recovery)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2302.09930": "|[nystr\\\"om $m$-hilbert-schmidt independence criterion](https://arxiv.org/abs/2302.09930)|[nystroem-mhsic](https://github.com/flopska/nystroem-mhsic)|\n"}, "2023-02-22": {"2002.04960": "|[power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces](https://arxiv.org/abs/2002.04960)|[near-field-behavior](https://github.com/emilbjornson/near-field-behavior)|\n", "2210.15975": "|[lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform](https://arxiv.org/abs/2210.15975)|[mb-istft-vits](https://github.com/masayakawamura/mb-istft-vits)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2302.10515": "|[energy-efficient blockchain-enabled user-centric mobile edge computing](https://arxiv.org/abs/2302.10515)|[blockchain-enabled-ucmec](https://github.com/qlt315/blockchain-enabled-ucmec)|\n", "2302.10558": "|[joint optimization of base station clustering and service caching in user-centric mec](https://arxiv.org/abs/2302.10558)|[jo-cdsd](https://github.com/qlt315/jo-cdsd)|\n", "2302.10810": "|[a local machine learning approach for fingerprint-based indoor localization](https://arxiv.org/abs/2302.10810)|[-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization](https://github.com/noraagah/-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization)|\n", "2302.10701": "|[scalable infomin learning](https://arxiv.org/abs/2302.10701)|[infomin](https://github.com/cyz-ai/infomin)|\n"}, "2023-02-23": {"2011.04794": "|[estimating total correlation with mutual information estimators](https://arxiv.org/abs/2011.04794)|[tc-estimation](https://github.com/linear95/tc-estimation)|\n", "2202.06365": "|[unsourced multiple access with random user activity](https://arxiv.org/abs/2202.06365)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n"}, "2023-02-24": {"2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n", "2112.09162": "|[nonparametric two-sample testing by betting](https://arxiv.org/abs/2112.09162)|[nonparametric-testing-by-betting](https://github.com/sshekhar17/nonparametric-testing-by-betting)|\n", "2301.13647": "|[bayesian estimation of information-theoretic metrics for sparsely sampled distributions](https://arxiv.org/abs/2301.13647)|[info-metric-estimation](https://github.com/angelopiga/info-metric-estimation)|\n", "2302.11654": "|[information theory inspired pattern analysis for time-series data](https://arxiv.org/abs/2302.11654)|[entropypipeline](https://github.com/yushan-huang/entropypipeline)|\n", "2302.11669": "|[rna secondary structures: from ab initio prediction to better compression, and back](https://arxiv.org/abs/2302.11669)|[joint-rna-compression](https://github.com/evita35/joint-rna-compression)|\n", "2302.12247": "|[quantifying & modeling feature interactions: an information decomposition framework](https://arxiv.org/abs/2302.12247)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-02-25": {}, "2023-02-26": {}, "2023-02-27": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n"}, "2023-02-28": {"2107.09202": "|[compressing multisets with large alphabets using bits-back coding](https://arxiv.org/abs/2107.09202)|[multiset-compression](https://github.com/facebookresearch/multiset-compression)|\n", "2205.04944": "|[hybrid far- and near-field channel estimation for thz ultra-massive mimo via fixed point networks](https://arxiv.org/abs/2205.04944)|[FPN-OAMP-THz-Channel-Estimation](https://github.com/wyuaq/FPN-OAMP-THz-Channel-Estimation)|\n", "2110.05649": "|[learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection](https://arxiv.org/abs/2110.05649)|[lrpca](https://github.com/caesarcai/lrpca)|\n"}, "2023-03-01": {"2302.10073": "|[implementation of dnn based data detector for qpsk systems](https://arxiv.org/abs/2302.10073)|[qpsk_sdr_dnn_detector](https://github.com/abadi13/qpsk_sdr_dnn_detector)|\n", "2302.14367": "|[brainbert: self-supervised representation learning for intracranial recordings](https://arxiv.org/abs/2302.14367)|[brainbert](https://github.com/czlwang/brainbert)|\n", "2302.14689": "|[robust one-shot estimation over shared networks in the presence of denial-of-service attacks](https://arxiv.org/abs/2302.14689)|[ieee-tac2023](https://github.com/mullervasconcelos/ieee-tac2023)|\n"}, "2023-03-02": {"2210.15987": "|[nnsvs: a neural network-based singing voice synthesis toolkit](https://arxiv.org/abs/2210.15987)|[nnsvs](https://github.com/nnsvs/nnsvs)|\n", "2302.13130": "|[point cloud forecasting as a proxy for 4d occupancy forecasting](https://arxiv.org/abs/2302.13130)|[4d-occ-forecasting](https://github.com/tarashakhurana/4d-occ-forecasting)|\n", "2303.00596": "|[information plane analysis for dropout neural networks](https://arxiv.org/abs/2303.00596)|[ip_dropout](https://github.com/link-er/ip_dropout)|\n"}, "2023-03-03": {"2210.15951": "|[signal inpainting from fourier magnitudes](https://arxiv.org/abs/2210.15951)|[inpainting-fourier](https://github.com/louis-bahrman/inpainting-fourier)|\n", "2303.00832": "|[distributed adaptive norm estimation for blind system identification in wireless sensor networks](https://arxiv.org/abs/2303.00832)|[icassp2023-adapt-dist-avg](https://github.com/sounds-research/icassp2023-adapt-dist-avg)|\n", "2303.00986": "|[pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots](https://arxiv.org/abs/2303.00986)|[dacen](https://github.com/jessezhou18/dacen)|\n", "2210.03124": "|[learning transfer operators by kernel density estimation](https://arxiv.org/abs/2210.03124)|[fpoperatorde](https://github.com/sudamphy/fpoperatorde)|\n", "2303.00844": "|[the greedy side of the lasso: new algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit](https://arxiv.org/abs/2303.00844)|[greedy_lasso_womp](https://github.com/sina-taheri/greedy_lasso_womp)|\n"}, "2023-03-04": {}, "2023-03-05": {}, "2023-03-06": {"2207.08498": "|[graph neural networks for distributed power allocation in wireless networks: aggregation over-the-air](https://arxiv.org/abs/2207.08498)|[gnn-aggregation-over-the-air](https://github.com/yifan-gu-szu/gnn-aggregation-over-the-air)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n", "2211.09920": "|[distributed deep joint source-channel coding over a multiple access channel](https://arxiv.org/abs/2211.09920)|[deepjscc-noma](https://github.com/ipc-lab/deepjscc-noma)|\n", "2302.06683": "|[enhancing multivariate time series classifiers through self-attention and relative positioning infusion](https://arxiv.org/abs/2302.06683)|[timeseriesclassification-tps](https://github.com/mehryar72/timeseriesclassification-tps)|\n", "2303.01770": "|[quantized radio map estimation using tensor and deep generative models](https://arxiv.org/abs/2303.01770)|[Quantized-Radio-Map-Estimation-BTD-and-DGM](https://github.com/XiaoFuLab/Quantized-Radio-Map-Estimation-BTD-and-DGM)|\n"}, "2023-03-07": {"2108.00874": "|[few-shot domain adaptation for end-to-end communication](https://arxiv.org/abs/2108.00874)|[domain-adaptation-autoencoder](https://github.com/jayaram-r/domain-adaptation-autoencoder)|\n", "2303.02157": "|[a stochastic approximate expectation-maximization for structure determination directly from cryo-em micrographs](https://arxiv.org/abs/2303.02157)|[stochastic-approximate-em-for-cryo-em](https://github.com/krshay/stochastic-approximate-em-for-cryo-em)|\n", "2303.02408": "|[data-driven method for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2303.02988": "|[searching for effective neural network architectures for heart murmur detection from phonocardiogram](https://arxiv.org/abs/2303.02988)|[cinc2022](https://github.com/deeppsp/cinc2022)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n", "2303.02598": "|[on probabilistic qam shaping for 5g mimo wireless channel with realistic ldpc codes](https://arxiv.org/abs/2303.02598)|[on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes](https://github.com/eugenbobrov/on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes)|\n", "2303.03106": "|[rotation invariant quantization for model compression](https://arxiv.org/abs/2303.03106)|[riq](https://github.com/ehaleva/riq)|\n"}, "2023-03-08": {"2209.02043": "|[large graph signal denoising with application to differential privacy](https://arxiv.org/abs/2209.02043)|[dp-graph-denoising](https://gitlab.com/elie-chedemail/dp-graph-denoising)|\n", "2210.12811": "|[unsupervised particle sorting for cryo-em using probabilistic pca](https://arxiv.org/abs/2210.12811)|[particle_sorting](https://github.com/giliw/particle_sorting)|\n", "2210.14103": "|[bit error and block error rate training for ml-assisted communication](https://arxiv.org/abs/2210.14103)|[bler_training](https://github.com/iip-group/bler_training)|\n", "2212.09019": "|[fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement](https://arxiv.org/abs/2212.09019)|[fullsubnet](https://github.com/audio-westlakeu/fullsubnet)|\n", "2303.03678": "|[a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection](https://arxiv.org/abs/2303.03678)|[mimo_jcesd](https://github.com/j991222/mimo_jcesd)|\n", "2303.03858": "|[a switching gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity](https://arxiv.org/abs/2303.03858)|[switching-gplfm](https://github.com/l-marino/switching-gplfm)|\n"}, "2023-03-09": {"2203.09142": "|[covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers](https://arxiv.org/abs/2203.09142)|[OpSiMorE](https://github.com/gfort-lab/OpSiMorE)|\n", "2209.09211": "|[neural collapse with normalized features: a geometric analysis over the riemannian manifold](https://arxiv.org/abs/2209.09211)|[normalized-neural-collapse](https://github.com/cjyaras/normalized-neural-collapse)|\n", "2211.04846": "|[grid-free harmonic retrieval and model order selection using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2303.04450": "|[nonlinear kalman filtering with reparametrization gradients](https://arxiv.org/abs/2303.04450)|[nonkf_energy_minimization](https://github.com/sangultekin/nonkf_energy_minimization)|\n"}, "2023-03-10": {"2206.13370": "|[adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma](https://arxiv.org/abs/2206.13370)|[uav-noma-adm](https://github.com/thanhluannguyen/uav-noma-adm)|\n", "2303.05043": "|[invertible kernel pca with random fourier features](https://arxiv.org/abs/2303.05043)|[invertible_kernel_PCA](https://github.com/dgedon/invertible_kernel_PCA)|\n", "2303.05228": "|[a classification of s-boxes generated by orthogonal cellular automata](https://arxiv.org/abs/2303.05228)|[orthogonal-ca-sboxes](https://github.com/rymoah/orthogonal-ca-sboxes)|\n", "2303.05237": "|[statistical mechanics of the maximum-average submatrix problem](https://arxiv.org/abs/2303.05237)|[Maximum-Average-Submatrix](https://github.com/SPOC-group/Maximum-Average-Submatrix)|\n"}, "2023-03-11": {}, "2023-03-12": {}, "2023-03-13": {"2206.04420": "|[neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy](https://arxiv.org/abs/2206.04420)|[downsample_open_eeg](https://github.com/otoolej/downsample_open_eeg)|\n", "2303.05798": "|[sliced-wasserstein on symmetric positive definite matrices for m/eeg signals](https://arxiv.org/abs/2303.05798)|[Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices](https://github.com/clbonet/Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices)|\n", "2303.06068": "|[eeg synthetic data generation using probabilistic diffusion models](https://arxiv.org/abs/2303.06068)|[eeg-diffusion-pytorch](https://github.com/devjake/eeg-diffusion-pytorch)|\n", "2212.01309": "|[wigner distribution deconvolution adaptation for live ptychography reconstruction](https://arxiv.org/abs/2212.01309)|[livewdd](https://github.com/ptychography-4-0/livewdd)|\n"}, "2023-03-14": {"2205.10957": "|[fundamentals of wobbling and hardware impairments-aware air-to-ground channel model](https://arxiv.org/abs/2205.10957)|[Wobbling-HI-Drones](https://github.com/mbanagar/Wobbling-HI-Drones)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[dnn-ha](https://github.com/hearingtechnology/dnn-ha)|\n", "2208.10325": "|[exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation](https://arxiv.org/abs/2208.10325)|[scss_csgaussian](https://github.com/rfchallenge/scss_csgaussian)|\n", "2211.02641": "|[graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis](https://arxiv.org/abs/2211.02641)|[Tensor-CSPNet-and-Graph-CSPNet](https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)|\n", "2211.02678": "|[efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks](https://arxiv.org/abs/2211.02678)|[hypercomplexecg](https://github.com/leibniz-future-lab/hypercomplexecg)|\n", "2303.06376": "|[assessing gender fairness in eeg-based machine learning detection of parkinson's disease: a multi-center study](https://arxiv.org/abs/2303.06376)|[multicentric-ml-parkinson-detection](https://github.com/biomedical-data-analysis-laboratory/multicentric-ml-parkinson-detection)|\n", "2303.06640": "|[challenges facing the explainability of age prediction models: case study for two modalities](https://arxiv.org/abs/2303.06640)|[challenges-xai-aging-aaai23](https://github.com/pbiecek/challenges-xai-aging-aaai23)|\n", "2203.02064": "|[securing data in multimode fibers by exploiting mode-dependent light propagation effects](https://arxiv.org/abs/2203.02064)|[mmf-physec](https://github.com/klb2/mmf-physec)|\n"}, "2023-03-15": {"2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2303.07821": "|[self-attention for enhanced oamp detection in mimo systems](https://arxiv.org/abs/2303.07821)|[self_attention_oamp_mimo](https://github.com/alexf1991/self_attention_oamp_mimo)|\n", "1910.00796": "|[transition waste optimization for coded elastic computing](https://arxiv.org/abs/1910.00796)|[coded_elastic_computing](https://github.com/dausonhoang/coded_elastic_computing)|\n"}, "2023-03-16": {"2203.01178": "|[dct-former: efficient self-attention with discrete cosine transform](https://arxiv.org/abs/2203.01178)|[dct-former-public](https://github.com/cscribano/dct-former-public)|\n", "2203.11012": "|[learning resilient radio resource management policies with graph neural networks](https://arxiv.org/abs/2203.11012)|[Resilient_RRM_GNN](https://github.com/navid-naderi/Resilient_RRM_GNN)|\n", "2301.11166": "|[flex-net: a graph neural network approach to resource management in flexible duplex networks](https://arxiv.org/abs/2301.11166)|[flex-net](https://github.com/tharaka-perera/flex-net)|\n"}, "2023-03-17": {"2204.06108": "|[srmd: sparse random mode decomposition](https://arxiv.org/abs/2204.06108)|[sparserandommodedecomposition](https://github.com/giangttran/sparserandommodedecomposition)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2302.02477": "|[offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment](https://arxiv.org/abs/2302.02477)|[vlbm](https://github.com/gaoqitong/vlbm)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2303.09395": "|[text-to-ecg: 12-lead electrocardiogram synthesis conditioned on clinical text reports](https://arxiv.org/abs/2303.09395)|[text_to_ecg](https://github.com/tclife/text_to_ecg)|\n", "2303.09530": "|[tackling clutter in radar data -- label generation and detection using pointnet++](https://arxiv.org/abs/2303.09530)|[clutter-ds](https://github.com/kopp-j/clutter-ds)|\n"}, "2023-03-18": {}, "2023-03-19": {}, "2023-03-20": {"2205.05776": "|[annealed langevin dynamics for massive mimo detection](https://arxiv.org/abs/2205.05776)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n"}, "2023-03-21": {"2205.14102": "|[group-level brain decoding with deep learning](https://arxiv.org/abs/2205.14102)|[meg-group-decode](https://github.com/ricsinaruto/meg-group-decode)|\n", "2211.15365": "|[defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders](https://arxiv.org/abs/2211.15365)|[dae_for_adv_attacks_in_mimo](https://github.com/jess-jpg-txt/dae_for_adv_attacks_in_mimo)|\n", "2302.02436": "|[modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers](https://arxiv.org/abs/2302.02436)|[bayesian-learning-for-receivers](https://github.com/tomerraviv95/bayesian-learning-for-receivers)|\n", "2303.10934": "|[emc2-net: joint equalization and modulation classification based on constellation network](https://arxiv.org/abs/2303.10934)|[emc2net](https://github.com/hyun-ryu/emc2net)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n", "2203.11854": "|[sionna: an open-source library for next-generation physical layer research](https://arxiv.org/abs/2203.11854)|[sionna](https://github.com/nvlabs/sionna)|\n", "2204.03316": "|[structured gradient descent for fast robust low-rank hankel matrix completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n", "2207.06606": "|[encoding, decoding, and causality between complex networks](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n", "2303.11103": "|[sionna rt: differentiable ray tracing for radio propagation modeling](https://arxiv.org/abs/2303.11103)|[diff-rt](https://github.com/nvlabs/diff-rt)|\n"}, "2023-03-22": {"2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n", "2205.06306": "|[probabilistic estimation of instantaneous frequencies of chirp signals](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2303.11427": "|[learning model-free robust precoding for cooperative multibeam satellite communications](https://arxiv.org/abs/2303.11427)|[2302_learning_beamforming_code](https://github.com/steffengra/2302_learning_beamforming_code)|\n"}, "2023-03-23": {"2203.10231": "|[sdoanet: an efficient deep learning-based doa estimation network for imperfect array](https://arxiv.org/abs/2203.10231)|[sdoanet](https://github.com/chenpengseu/sdoanet)|\n", "2303.12479": "|[distributed two-tier drl framework for cell-free network: association, beamforming and power allocation](https://arxiv.org/abs/2303.12479)|[dhdrl](https://github.com/kiven-ykw/dhdrl)|\n", "2303.12763": "|[localization-based ofdm framework for ris-aided systems](https://arxiv.org/abs/2303.12763)|[ris-ofdm-loca-scheduling](https://github.com/lostinafro/ris-ofdm-loca-scheduling)|\n", "2210.02672": "|[orthogonal non-negative matrix factorization: a maximum-entropy-principle approach](https://arxiv.org/abs/2210.02672)|[mep-orthogonal-nmf](https://github.com/salar96/mep-orthogonal-nmf)|\n"}, "2023-03-24": {"2208.10295": "|[physical lidar simulation in real-time engine](https://arxiv.org/abs/2208.10295)|[Cosys-AirSim](https://github.com/Cosys-Lab/Cosys-AirSim)|\n"}, "2023-03-25": {}, "2023-03-26": {}, "2023-03-27": {"2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n"}, "2023-03-28": {"2203.00456": "|[wemac: women and emotion multi-modal affective computing dataset](https://arxiv.org/abs/2203.00456)|[wemac_dataset_speech_processing](https://github.com/bindi-uc3m/wemac_dataset_speech_processing)|\n", "2206.13420": "|[unsupervised voice activity detection by modeling source and system information using zero frequency filtering](https://arxiv.org/abs/2206.13420)|[zff_vad](https://github.com/idiap/zff_vad)|\n", "2302.14089": "|[low-complexity blind parameter estimation in wireless systems with noisy sparse signals](https://arxiv.org/abs/2302.14089)|[blind_and_nonparametric_estimators](https://github.com/iip-group/blind_and_nonparametric_estimators)|\n", "2303.15407": "|[dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting](https://arxiv.org/abs/2303.15407)|[naumer_dimensionality_2022.jl](https://github.com/helmuthn/naumer_dimensionality_2022.jl)|\n"}, "2023-03-29": {"2210.10855": "|[dictionary learning for the almost-linear sparsity regime](https://arxiv.org/abs/2210.10855)|[spectral_dict_learn](https://github.com/sew347/spectral_dict_learn)|\n", "2303.13381": "|[cosys-airsim: a real-time simulation framework expanded for complex industrial applications](https://arxiv.org/abs/2303.13381)|[Cosys-AirSim](https://github.com/Cosys-Lab/Cosys-AirSim)|\n", "2303.14003": "|[transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients](https://arxiv.org/abs/2303.14003)|[srussoftware](https://github.com/jipengyan1995/srussoftware)|\n", "2303.15588": "|[square root {lasso}: well-posedness, lipschitz stability and the tuning trade off](https://arxiv.org/abs/2303.15588)|[srlasso_revolutions](https://github.com/asberk/srlasso_revolutions)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2023-03-30": {"2210.02214": "|[urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming](https://arxiv.org/abs/2210.02214)|[robust-adaptive-beamforming-2022](https://github.com/chenpengseu/robust-adaptive-beamforming-2022)|\n", "2211.09702": "|[deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi](https://arxiv.org/abs/2211.09702)|[ris-miso-pda-deep-reinforcement-learning](https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning)|\n", "2303.16407": "|[lmda-net:a lightweight multi-dimensional attention network for general eeg-based brain-computer interface paradigms and interpretability](https://arxiv.org/abs/2303.16407)|[braindecode](https://github.com/TNTLFreiburg/braindecode)|\n", "2303.16797": "|[a framework for control channels applied to reconfigurable intelligent surfaces](https://arxiv.org/abs/2303.16797)|[ris-control](https://github.com/lostinafro/ris-control)|\n", "2211.15267": "|[folded polynomial codes for coded distributed $aa^\\top$-type matrix multiplication](https://arxiv.org/abs/2211.15267)|[foldedpolynomialcodes](https://github.com/shinez9/foldedpolynomialcodes)|\n"}, "2023-03-31": {"2204.02855": "|[spider-web generates coding algorithms with superior error tolerance and real-time information retrieval capacity](https://arxiv.org/abs/2204.02855)|[dnaspiderweb](https://github.com/haolingzhang/dnaspiderweb)|\n"}, "2023-04-02": {}, "2023-04-01": {}, "2023-04-03": {"2209.12638": "|[bounded simplex-structured matrix factorization: algorithms, identifiability and applications](https://arxiv.org/abs/2209.12638)|[bssmf.jl](https://gitlab.com/vuthanho/bssmf.jl)|\n", "2205.03343": "|[far from asymptopia](https://arxiv.org/abs/2205.03343)|[atomicpriors.jl](https://github.com/mcabbott/atomicpriors.jl)|\n"}, "2023-04-04": {"2102.03565": "|[localizing unsynchronized sensors with unknown sources](https://arxiv.org/abs/2102.03565)|[xtdoa](https://github.com/swing-research/xtdoa)|\n", "2211.11176": "|[modeling multivariate biosignals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n", "2304.00446": "|[deep graph unfolding for beamforming in mu-mimo interference networks](https://arxiv.org/abs/2304.00446)|[unrolled-wmmse-for-mu-mimo](https://github.com/archo48/unrolled-wmmse-for-mu-mimo)|\n", "2304.00474": "|[on the optimal recovery of graph signals](https://arxiv.org/abs/2304.00474)|[orofgraphsignals](https://github.com/liaochunyang/orofgraphsignals)|\n", "2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n", "2304.01031": "|[amgc: adaptive match-based genomic compression algorithm](https://arxiv.org/abs/2304.01031)|[amgc](https://github.com/wj-inf/amgc)|\n"}, "2023-04-05": {"2109.12400": "|[communication-efficient federated linear and deep generalized canonical correlation analysis](https://arxiv.org/abs/2109.12400)|[federated_max_var_gcca](https://github.com/XiaoFuLab/federated_max_var_gcca)|\n", "2206.00390": "|[attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis](https://arxiv.org/abs/2206.00390)|[QCNN_for_bearing_diagnosis](https://github.com/asdvfghg/QCNN_for_bearing_diagnosis)|\n", "2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[abimca](https://github.com/jokonu/abimca)|\n", "2304.01461": "|[time-space-frequency feature fusion for 3-channel motor imagery classification](https://arxiv.org/abs/2304.01461)|[tsff](https://github.com/miaozhengqing/tsff)|\n", "2304.01568": "|[arrhythmia classifier based on ultra-lightweight binary neural network](https://arxiv.org/abs/2304.01568)|[ecg_bnn_net](https://github.com/xpww/ecg_bnn_net)|\n"}, "2023-04-06": {"2111.10983": "|[a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes](https://arxiv.org/abs/2111.10983)|[Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier](https://github.com/shellpower96/Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier)|\n", "2208.10384": "|[the optimality of word lengths. theoretical foundations and an empirical study](https://arxiv.org/abs/2208.10384)|[iql-research-project-21-22](https://github.com/iql-course/iql-research-project-21-22)|\n", "2304.02358": "|[visualizing quantum circuit probability -- estimating computational action for quantum program synthesis](https://arxiv.org/abs/2304.02358)|[qcircscape](https://github.com/advanced-research-centre/qcircscape)|\n", "2304.02538": "|[reliability and latency analysis for wireless communication systems with a secret-key budget](https://arxiv.org/abs/2304.02538)|[secret-key-budget-ruin](https://github.com/klb2/secret-key-budget-ruin)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-04-07": {"2211.04167": "|[optimal discrete beamforming of ris-aided wireless communications: an inner product maximization approach](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2301.08843": "|[towards flexibility and interpretability of gaussian process state-space model](https://arxiv.org/abs/2301.08843)|[tgpssm](https://github.com/zhidilin/tgpssm)|\n", "2304.02714": "|[learning stage-wise gans for whistle extraction in time-frequency spectrograms](https://arxiv.org/abs/2304.02714)|[CompositeGAN_WhistleAugment](https://github.com/Paul-LiPu/CompositeGAN_WhistleAugment)|\n"}, "2023-04-08": {}, "2023-04-09": {}, "2023-04-10": {"2304.03713": "|[a novel channel model for reconfigurable intelligent surfaces with consideration of polarization and switch impairments](https://arxiv.org/abs/2304.03713)|[matlab_ris_channelmodel](https://github.com/icefreeman123/matlab_ris_channelmodel)|\n", "2304.03398": "|[quantum conformal prediction for reliable uncertainty quantification in quantum machine learning](https://arxiv.org/abs/2304.03398)|[quantum-cp](https://github.com/kclip/quantum-cp)|\n"}, "2023-04-11": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2210.04222": "|[correlative information maximization based biologically plausible neural networks for correlated source separation](https://arxiv.org/abs/2210.04222)|[Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation](https://github.com/BariscanBozkurt/Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation)|\n", "1802.05843": "|[minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification](https://arxiv.org/abs/1802.05843)|[Network-Robustness-by-Kolmogorov-Complexity](https://github.com/andandandand/Network-Robustness-by-Kolmogorov-Complexity)|\n"}, "2023-04-12": {"2209.15594": "|[self-stabilization: the implicit bias of gradient descent at the edge of stability](https://arxiv.org/abs/2209.15594)|[eos](https://github.com/adamian98/eos)|\n"}, "2023-04-13": {"2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2205.10684": "|[interpreting neural min-sum decoders](https://arxiv.org/abs/2205.10684)|[nams](https://github.com/sravan-ankireddy/nams)|\n"}, "2023-04-14": {"2211.11580": "|[neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics](https://arxiv.org/abs/2211.11580)|[nn-turb](https://github.com/cgranerob/nn-turb)|\n", "2303.15588": "|[square root lasso: well-posedness, lipschitz stability and the tuning trade off](https://arxiv.org/abs/2303.15588)|[srlasso_revolutions](https://github.com/asberk/srlasso_revolutions)|\n", "2304.06496": "|[eegmatch: learning with incomplete labels for semi-supervised eeg-based cross-subject emotion recognition](https://arxiv.org/abs/2304.06496)|[eegmatch](https://github.com/kazabana/eegmatch)|\n", "2304.06548": "|[multi-kernel correntropy-based orientation estimation of imus: gradient descent methods](https://arxiv.org/abs/2304.06548)|[mc_gd_imu](https://github.com/lsl-zsj/mc_gd_imu)|\n"}, "2023-04-15": {}, "2023-04-16": {}, "2023-04-17": {"2204.04754": "|[denoiser-based projections for 2-d super-resolution multi-reference alignment](https://arxiv.org/abs/2204.04754)|[denoiser_projection](https://github.com/jonathanshani/denoiser_projection)|\n", "2208.03993": "|[cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios](https://arxiv.org/abs/2208.03993)|[cast](https://github.com/wineslab/cast)|\n", "2304.06777": "|[online recognition of incomplete gesture data to interface collaborative robots](https://arxiv.org/abs/2304.06777)|[uc2017_classification](https://github.com/miguelsimao/uc2017_classification)|\n", "2304.06983": "|[a byte sequence is worth an image: cnn for file fragment classification using bit shift and n-gram embeddings](https://arxiv.org/abs/2304.06983)|[byte2image](https://github.com/wenyang001/byte2image)|\n", "2210.12538": "|[compressing multidimensional weather and climate data into neural networks](https://arxiv.org/abs/2210.12538)|[nncompression](https://github.com/spcl/nncompression)|\n"}, "2023-04-18": {"2210.04230": "|[random access protocol with channel oracle enabled by a reconfigurable intelligent surface](https://arxiv.org/abs/2210.04230)|[ris-random-access-channel-oracle](https://github.com/victorcroisfelt/ris-random-access-channel-oracle)|\n", "2303.02408": "|[data-driven method for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2303.15407": "|[dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting](https://arxiv.org/abs/2303.15407)|[naumer_dimensionality_2022.jl](https://github.com/helmuthn/naumer_dimensionality_2022.jl)|\n", "2210.14894": "|[learning to predict arbitrary quantum processes](https://arxiv.org/abs/2210.14894)|[learning-quantum-process](https://github.com/hsinyuan-huang/learning-quantum-process)|\n"}, "2023-04-19": {"2004.01571": "|[tree-amp: compositional inference with tree approximate message passing](https://arxiv.org/abs/2004.01571)|[tramp](https://github.com/sphinxteam/tramp)|\n", "2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2203.09142": "|[covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers](https://arxiv.org/abs/2203.09142)|[OpSiMorE](https://github.com/gfort-lab/OpSiMorE)|\n", "2111.10983": "|[a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes](https://arxiv.org/abs/2111.10983)|[Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier](https://github.com/shellpower96/Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier)|\n"}, "2023-04-20": {"2206.04011": "|[robust semantic communications with masked vq-vae enabled codebook](https://arxiv.org/abs/2206.04011)|[RobustSemanComm](https://github.com/hqyyqh888/RobustSemanComm)|\n", "2304.09700": "|[entropy estimation via uniformization](https://arxiv.org/abs/2304.09700)|[nfee](https://github.com/ziq-ao/nfee)|\n"}, "2023-04-21": {"2207.07572": "|[outlier detection of vital sign trajectories from covid-19 patients](https://arxiv.org/abs/2207.07572)|[outlier-detection-recap-data](https://github.com/sara-es/outlier-detection-recap-data)|\n", "2304.07827": "|[latent-kalmannet: learned kalman filtering for tracking from high-dimensional signals](https://arxiv.org/abs/2304.07827)|[latent_kalmannet_tsp](https://github.com/kalmannet/latent_kalmannet_tsp)|\n"}, "2023-04-22": {}, "2023-04-23": {}, "2023-04-24": {"2110.05528": "|[smoothed separable nonnegative matrix factorization](https://arxiv.org/abs/2110.05528)|[smoothed-separable-nmf](https://gitlab.com/nnadisic/smoothed-separable-nmf)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2304.10858": "|[an orchestration framework for open system models of reconfigurable intelligent surfaces](https://arxiv.org/abs/2304.10858)|[self-configuring-orchestration](https://github.com/victorcroisfelt/self-configuring-orchestration)|\n"}, "2023-04-25": {"2208.04659": "|[ultra lite convolutional neural network for fast automatic modulation classification in low-resource scenarios](https://arxiv.org/abs/2208.04659)|[ultra-lite-convolutional-neural-network-for-automatic-modulation-classification](https://github.com/beechburgpiestar/ultra-lite-convolutional-neural-network-for-automatic-modulation-classification)|\n", "2208.13552": "|[energy-efficient cell-free massive mimo through sparse large-scale fading processing](https://arxiv.org/abs/2208.13552)|[sparse-lsfprocess-cfmmimo](https://github.com/shuaifeichen273/sparse-lsfprocess-cfmmimo)|\n", "2302.11410": "|[score-based data generation for eeg spatial covariance matrices: towards boosting bci performance](https://arxiv.org/abs/2302.11410)|[Tensor-CSPNet-and-Graph-CSPNet](https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)|\n", "2304.06505": "|[locality sensitive hashing via mechanical behavior](https://arxiv.org/abs/2304.06505)|[mechhs](https://github.com/elejeune11/mechhs)|\n", "2304.11560": "|[identifying stochasticity in time-series with autoencoder-based content-aware 2d representation: application to black hole data](https://arxiv.org/abs/2304.11560)|[blackhole_1d_2d_label](https://github.com/csai-arc/blackhole_1d_2d_label)|\n", "2304.11674": "|[a lightweight recurrent learning network for sustainable compressed sensing](https://arxiv.org/abs/2304.11674)|[csrn](https://github.com/c66yu/csrn)|\n", "2304.11464": "|[model-free learning of optimal two-stage beamformers for passive irs-aided network design](https://arxiv.org/abs/2304.11464)|[zosga-irs](https://github.com/hassaanhashmi/zosga-irs)|\n"}, "2023-04-26": {"2207.01110": "|[data-driven modeling of noise time series with convolutional generative adversarial networks](https://arxiv.org/abs/2207.01110)|[noisegan](https://github.com/usnistgov/noisegan)|\n", "2212.13930": "|[toward integrated sensing and communications in ieee 802.11bf wi-fi networks](https://arxiv.org/abs/2212.13930)|[sharpax](https://github.com/francescamen/sharpax)|\n"}, "2023-04-27": {"2210.05394": "|[computationally-efficient initialisation of gps: the generalised variogram method](https://arxiv.org/abs/2210.05394)|[generalised-variogram-method](https://github.com/games-uchile/generalised-variogram-method)|\n", "2304.06033": "|[quantifying the impact of data characteristics on the transferability of sleep stage scoring models](https://arxiv.org/abs/2304.06033)|[transferability_sleep](https://github.com/akaraspt/transferability_sleep)|\n"}, "2023-04-28": {"2304.14152": "|[spiking neural network decision feedback equalization for im/dd systems](https://arxiv.org/abs/2304.14152)|[snn-dfe](https://github.com/kit-cel/snn-dfe)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-04-29": {}, "2023-04-30": {}, "2023-05-01": {"2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2304.14919": "|[scatterformer: locally-invariant scattering transformer for patient-independent multispectral detection of epileptiform discharges](https://arxiv.org/abs/2304.14919)|[scatterformer](https://github.com/albertcheng19/scatterformer)|\n", "2302.11654": "|[information theory inspired pattern analysis for time-series data](https://arxiv.org/abs/2302.11654)|[entropypipeline](https://github.com/yushan-huang/entropypipeline)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n"}, "2023-05-02": {"2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n", "2211.11176": "|[modeling multivariate biosignals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2302.13130": "|[point cloud forecasting as a proxy for 4d occupancy forecasting](https://arxiv.org/abs/2302.13130)|[4d-occ-forecasting](https://github.com/tarashakhurana/4d-occ-forecasting)|\n", "2305.00139": "|[leveraging label non-uniformity for node classification in graph neural networks](https://arxiv.org/abs/2305.00139)|[label-non-uniformity-gnn](https://github.com/amblee0306/label-non-uniformity-gnn)|\n", "2305.00334": "|[non-linear phase-retrieval algorithms for x-ray propagation-based phase-contrast tomography](https://arxiv.org/abs/2305.00334)|[phasetorch](https://github.com/phasetorch/phasetorch)|\n", "2305.00769": "|[multi-scale transformer-based network for emotion recognition from multi physiological signals](https://arxiv.org/abs/2305.00769)|[EPiC-2023-ACII](https://github.com/vsl-team/EPiC-2023-ACII)|\n"}, "2023-05-03": {"2301.13516": "|[recurrences reveal shared causal drivers of complex time series](https://arxiv.org/abs/2301.13516)|[shrec](https://github.com/williamgilpin/shrec)|\n"}, "2023-05-04": {}, "2023-05-05": {"2305.02562": "|[conditional and residual methods in scalable coding for humans and machines](https://arxiv.org/abs/2305.02562)|[research](https://github.com/adeandrade/research)|\n"}, "2023-05-06": {}, "2023-05-07": {}, "2023-05-08": {"2210.04941": "|[slurp! spectroscopy of liquids using robot pre-touch sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2305.03571": "|[model-free reinforcement learning of semantic communication by stochastic policy gradient](https://arxiv.org/abs/2305.03571)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2305.03597": "|[a thru-free multiline calibration](https://arxiv.org/abs/2305.03597)|[thru-free-multiline-calibration](https://github.com/ZiadHatab/thru-free-multiline-calibration)|\n"}, "2023-05-09": {"2210.00943": "|[simple pooling front-ends for efficient audio classification](https://arxiv.org/abs/2210.00943)|[simpfs](https://github.com/liuxubo717/simpfs)|\n", "2302.08053": "|[selective noise suppression using random svpwm to shape the voltage spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2305.00769": "|[multi-scale transformer-based network for emotion recognition from multi physiological signals](https://arxiv.org/abs/2305.00769)|[EPiC-2023-ACII](https://github.com/vsl-team/EPiC-2023-ACII)|\n", "2305.04257": "|[unrolled architectures for high-throughput encoding of multi-kernel polar codes](https://arxiv.org/abs/2305.04257)|[polar-encoder-compiler](https://github.com/hosseinrezaeii91/polar-encoder-compiler)|\n"}, "2023-05-10": {"2209.10382": "|[robust information bottleneck for task-oriented communication with digital modulation](https://arxiv.org/abs/2209.10382)|[Discrete-TaskOriented-JSCC](https://github.com/SongjieXie/Discrete-TaskOriented-JSCC)|\n", "2305.04871": "|[gaussian process deconvolution](https://arxiv.org/abs/2305.04871)|[gaussian-process-deconvolution](https://github.com/games-uchile/gaussian-process-deconvolution)|\n", "2305.05002": "|[bistatic mimo radar sensing of specularly reflecting surfaces for wireless power transfer](https://arxiv.org/abs/2305.05002)|[bistatic-mimo-radar-sensing](https://gitlab.com/baenshy/bistatic-mimo-radar-sensing)|\n", "2305.05425": "|[3dinvnet: a deep learning-based 3d ground-penetrating radar data inversion](https://arxiv.org/abs/2305.05425)|[3dinvnet](https://github.com/qiqi-dai/3dinvnet)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-05-11": {"2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2305.05772": "|[spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds](https://arxiv.org/abs/2305.05772)|[alexsnn](https://github.com/lunglmayrmoser/alexsnn)|\n"}, "2023-05-12": {"2201.06023": "|[resource allocation for text semantic communications](https://arxiv.org/abs/2201.06023)|[semantic-resource-allocation-S-SE-](https://github.com/YL12345/semantic-resource-allocation-S-SE-)|\n", "2208.08867": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation](https://arxiv.org/abs/2208.08867)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n", "2208.09088": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties](https://arxiv.org/abs/2208.09088)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2023-05-13": {}, "2023-05-14": {}, "2023-05-15": {"2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2204.12404": "|[hierarchical bayesian modelling for knowledge transfer across engineering fleets via multitask learning](https://arxiv.org/abs/2204.12404)|[engineeringpatternrecognition](https://github.com/labull/engineeringpatternrecognition)|\n", "2208.11751": "|[over-the-air computation with multiple receivers: a space-time approach](https://arxiv.org/abs/2208.11751)|[space-time-ota](https://github.com/ymalitsky/space-time-ota)|\n", "2305.07130": "|[active sensing for two-sided beam alignment and reflection design using ping-pong pilots](https://arxiv.org/abs/2305.07130)|[active-sensing-beam-alignment](https://github.com/taojiang-github/active-sensing-beam-alignment)|\n", "2305.07156": "|[improved upper and lower bounds on the capacity of the binary deletion channel](https://arxiv.org/abs/2305.07156)|[bdc_upper_bounds](https://github.com/ittai-rubinstein/bdc_upper_bounds)|\n", "2305.07186": "|[learning to code on graphs for topological interference management](https://arxiv.org/abs/2305.07186)|[learning-to-code-on-graphs](https://github.com/zhiweishan/learning-to-code-on-graphs)|\n", "2305.07309": "|[adaptive and flexible model-based ai for deep receivers in dynamic channels](https://arxiv.org/abs/2305.07309)|[facilitating-adaptation-deep-receivers](https://github.com/tomerraviv95/facilitating-adaptation-deep-receivers)|\n"}, "2023-05-16": {"2304.06505": "|[locality sensitive hashing via mechanical behavior](https://arxiv.org/abs/2304.06505)|[mechhs](https://github.com/elejeune11/mechhs)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.08687": "|[accelerated algorithms for nonlinear matrix decomposition with the relu function](https://arxiv.org/abs/2305.08687)|[relu-nmd](https://gitlab.com/ngillis/relu-nmd)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n", "2208.08085": "|[detection and mitigation of byzantine attacks in distributed training](https://arxiv.org/abs/2208.08085)|[aspis](https://github.com/kkonstantinidis/aspis)|\n"}, "2023-05-17": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n", "2305.09661": "|[phase retrieval via model-free power flow jacobian recovery](https://arxiv.org/abs/2305.09661)|[powerphaseretrieval.jl](https://github.com/samtalki/powerphaseretrieval.jl)|\n"}, "2023-05-18": {"2211.10527": "|[pmnet: robust pathloss map prediction via supervised learning](https://arxiv.org/abs/2211.10527)|[pmnet](https://github.com/abman23/pmnet)|\n", "2305.09739": "|[outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework](https://arxiv.org/abs/2305.09739)|[greedy-resource-allocation-outage-classification](https://github.com/ml4comms/greedy-resource-allocation-outage-classification)|\n", "2305.10009": "|[a modular and high-resolution time-frequency post-processing technique](https://arxiv.org/abs/2305.10009)|[Time-frequency-analysis](https://github.com/jsshen1/Time-frequency-analysis)|\n", "2305.10185": "|[algorithms for boolean matrix factorization using integer programming](https://arxiv.org/abs/2305.10185)|[booleanmf](https://gitlab.com/ngillis/booleanmf)|\n", "2305.09705": "|[random edge coding: one-shot bits-back coding of large labeled graphs](https://arxiv.org/abs/2305.09705)|[random-edge-coding](https://github.com/dsevero/random-edge-coding)|\n"}, "2023-05-19": {"2303.17995": "|[neural network entropy (nneten): entropy-based eeg signal and chaotic time series classification, python package for nneten calculation](https://arxiv.org/abs/2303.17995)|[nneten](https://github.com/izotov93/nneten)|\n", "2112.09162": "|[nonparametric two-sample testing by betting](https://arxiv.org/abs/2112.09162)|[nonparametric-testing-by-betting](https://github.com/sshekhar17/nonparametric-testing-by-betting)|\n", "2209.10438": "|[a measure of the complexity of neural representations based on partial information decomposition](https://arxiv.org/abs/2209.10438)|[nninfo](https://github.com/priesemann-group/nninfo)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2304.10770": "|[deir: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards](https://arxiv.org/abs/2304.10770)|[deir](https://github.com/swan-utokyo/deir)|\n"}, "2023-05-20": {}, "2023-05-21": {}, "2023-05-22": {"2203.13510": "|[joint distribution of distance and angles in finite wireless networks](https://arxiv.org/abs/2203.13510)|[joint_pdf_dist_angles](https://github.com/franmarve/joint_pdf_dist_angles)|\n", "2211.04846": "|[grid-free harmonic retrieval and model order selection using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2305.11320": "|[parameter-efficient learning for text-to-speech accent adaptation](https://arxiv.org/abs/2305.11320)|[PEL-TTS](https://github.com/TTS-Research/PEL-TTS)|\n", "2305.11752": "|[marginalized beam search algorithms for hierarchical hmms](https://arxiv.org/abs/2305.11752)|[mbs](https://github.com/chunxxc/mbs)|\n"}, "2023-05-23": {"2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "2204.04723": "|[machine learning-based csi feedback with variable length in fdd massive mimo](https://arxiv.org/abs/2204.04723)|[ml-based-csi-feedback](https://github.com/matteonerini/ml-based-csi-feedback)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2305.10352": "|[appliance detection using very low-frequency smart meter time series](https://arxiv.org/abs/2305.10352)|[ApplianceDetectionBenchmark](https://github.com/adrienpetralia/ApplianceDetectionBenchmark)|\n", "2305.11891": "|[thraws: a novel dataset for thermal hotspots detection in raw sentinel-2 data](https://arxiv.org/abs/2305.11891)|[pyraws](https://github.com/esa-philab/pyraws)|\n", "2305.13161": "|[deepjscc-l++: robust and bandwidth-adaptive wireless image transmission](https://arxiv.org/abs/2305.13161)|[deepjscc-lplusplus](https://github.com/aprilbian/deepjscc-lplusplus)|\n", "2206.10043": "|[classification utility, fairness, and compactness via tunable information bottleneck and r\\'enyi measures](https://arxiv.org/abs/2206.10043)|[rfib-code](https://github.com/agronowski/rfib-code)|\n", "2305.12179": "|[commodity-specific triads in the dutch inter-industry production network](https://arxiv.org/abs/2305.12179)|[numetris](https://github.com/marsmdk/numetris)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-05-24": {"2210.02271": "|[extending conformal prediction to hidden markov models with exact validity via de finetti's theorem for markov chains](https://arxiv.org/abs/2210.02271)|[cp_hmm](https://github.com/complexinfo/cp_hmm)|\n", "2305.13493": "|[cooperative channel capacity learning](https://arxiv.org/abs/2305.13493)|[CORTICAL](https://github.com/tonellolab/CORTICAL)|\n", "2305.14131": "|[temporally causal discovery tests for discrete time series and neural spike trains](https://arxiv.org/abs/2305.14131)|[github_temporal_causality](https://github.com/andreas947/github_temporal_causality)|\n"}, "2023-05-25": {"2303.05798": "|[sliced-wasserstein on symmetric positive definite matrices for m/eeg signals](https://arxiv.org/abs/2303.05798)|[spdsw](https://github.com/clbonet/spdsw)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.15371": "|[stochastic unrolled federated learning](https://arxiv.org/abs/2305.15371)|[fed-surf](https://github.com/smrhadou/fed-surf)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2305.14819": "|[directed message passing based on attention for prediction of molecular properties](https://arxiv.org/abs/2305.14819)|[d-gats](https://github.com/gongchen-1995/d-gats)|\n", "2305.15220": "|[selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata](https://arxiv.org/abs/2305.15220)|[empowered-nca-ii](https://github.com/caitlingrasso/empowered-nca-ii)|\n"}, "2023-05-26": {"2302.00919": "|[qcm-sgm+: improved quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2302.00919)|[qcs-sgm-plus](https://github.com/mengxiangming/qcs-sgm-plus)|\n", "2305.15795": "|[emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar](https://arxiv.org/abs/2305.15795)|[radar-vitals-estimation](https://github.com/schrchr/radar-vitals-estimation)|\n"}, "2023-05-27": {}, "2023-05-28": {}, "2023-05-29": {"2305.16789": "|[modulate your spectrum in self-supervised learning](https://arxiv.org/abs/2305.16789)|[intl](https://github.com/winci-ai/intl)|\n", "2305.16446": "|[the representation jensen-shannon divergence](https://arxiv.org/abs/2305.16446)|[representationjsd](https://github.com/uk-cliplab/representationjsd)|\n", "2305.16578": "|[computation of reliability statistics for finite samples of success-failure experiments](https://arxiv.org/abs/2305.16578)|[relistats](https://github.com/sanjaymjoshi/relistats)|\n"}, "2023-05-30": {"2007.07148": "|[traffic simulator for multibeam satellite communication systems](https://arxiv.org/abs/2007.07148)|[Satellite-Traffic-Simulator](https://github.com/hayder-hussein/Satellite-Traffic-Simulator)|\n", "2202.02884": "|[exploring self-attention mechanisms for speech separation](https://arxiv.org/abs/2202.02884)|[speechbrain](https://github.com/speechbrain/speechbrain)|\n", "2207.00866": "|[doubly-iterative sparsified mmse turbo equalization for otfs modulation](https://arxiv.org/abs/2207.00866)|[dismmse-turbo-equalizer-for-otfs](https://github.com/alga53/dismmse-turbo-equalizer-for-otfs)|\n", "2305.17321": "|[optimal resource allocation with delay guarantees for network slicing in disaggregated ran](https://arxiv.org/abs/2305.17321)|[paper-fgkcj-2023](https://github.com/labora-inf-ufg/paper-fgkcj-2023)|\n", "2305.18205": "|[pulse shape discrimination based on the tempotron: a powerful classifier on gpu](https://arxiv.org/abs/2305.18205)|[TempotronGPU](https://github.com/HaoranLiu507/TempotronGPU)|\n", "2210.00313": "|[crisp: curriculum based sequential neural decoders for polar code family](https://arxiv.org/abs/2210.00313)|[neural_polar_decoder](https://github.com/hebbarashwin/neural_polar_decoder)|\n", "2211.12343": "|[diffusion model based posterior sampling for noisy linear inverse problems](https://arxiv.org/abs/2211.12343)|[dmps](https://github.com/mengxiangming/dmps)|\n", "2301.08164": "|[dime: maximizing mutual information by a difference of matrix-based entropies](https://arxiv.org/abs/2301.08164)|[DiME](https://github.com/uk-cliplab/DiME)|\n", "2303.02598": "|[on probability shaping for 5g mimo wireless channel with realistic ldpc codes](https://arxiv.org/abs/2303.02598)|[on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes](https://github.com/eugenbobrov/on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes)|\n"}, "2023-05-31": {"2206.03369": "|[computational doob's h-transforms for online filtering of discretely observed diffusions](https://arxiv.org/abs/2206.03369)|[CompDoobTransform](https://github.com/jeremyhengjm/CompDoobTransform)|\n", "2303.05043": "|[invertible kernel pca with random fourier features](https://arxiv.org/abs/2303.05043)|[invertible_kernel_PCA](https://github.com/dgedon/invertible_kernel_PCA)|\n", "2304.00474": "|[on the optimal recovery of graph signals](https://arxiv.org/abs/2304.00474)|[orofgraphsignals](https://github.com/liaochunyang/orofgraphsignals)|\n", "2305.18665": "|[e-panns: sound recognition using efficient pre-trained audio neural networks](https://arxiv.org/abs/2305.18665)|[e-panns](https://github.com/arshdeep-singh-boparai/e-panns)|\n", "2112.01583": "|[the representation jensen-r\\'enyi divergence](https://arxiv.org/abs/2112.01583)|[jensen-renyi-divergence](https://github.com/uk-cliplab/jensen-renyi-divergence)|\n", "2210.09808": "|[distributed inference over linear models using alternating gaussian belief propagation](https://arxiv.org/abs/2210.09808)|[FactorGraph.jl](https://github.com/mcosovic/FactorGraph.jl)|\n", "2305.17467": "|[structured model selection via $\\ell_1-\\ell_2$ optimization](https://arxiv.org/abs/2305.17467)|[nonconvexsparsecyclicrecovery](https://github.com/linanzhang/nonconvexsparsecyclicrecovery)|\n", "2305.18887": "|[how does information bottleneck help deep learning?](https://arxiv.org/abs/2305.18887)|[information-bottleneck](https://github.com/xu-ji/information-bottleneck)|\n", "2305.19256": "|[ambient diffusion: learning clean distributions from corrupted data](https://arxiv.org/abs/2305.19256)|[ambient-diffusion](https://github.com/giannisdaras/ambient-diffusion)|\n"}, "2023-06-01": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2305.17510": "|[a hybrid quantum-classical approach based on the hadamard transform for the convolutional layer](https://arxiv.org/abs/2305.17510)|[icml2023-ht](https://github.com/phy710/icml2023-ht)|\n", "2305.20025": "|[variational $f$-divergence and derangements for discriminative mutual information estimation](https://arxiv.org/abs/2305.20025)|[fdime](https://github.com/tonellolab/fdime)|\n", "2301.00006": "|[recovering top-two answers and confusion probability in multi-choice crowdsourcing](https://arxiv.org/abs/2301.00006)|[toptwo](https://github.com/hyeonsu-jeong/toptwo)|\n", "2302.13846": "|[domain adaptive decision trees: implications for accuracy and fairness](https://arxiv.org/abs/2302.13846)|[domain-adaptive-trees](https://github.com/nobias-project/domain-adaptive-trees)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n", "2305.19695": "|[causal discovery for time series with constraint-based model and pmime measure](https://arxiv.org/abs/2305.19695)|[cd_for_ts_with_cbm_and_pmime](https://github.com/aarsac/cd_for_ts_with_cbm_and_pmime)|\n"}, "2023-06-02": {"2211.11406": "|[structural optimization of factor graphs for symbol detection via continuous clustering and machine learning](https://arxiv.org/abs/2211.11406)|[factor_graph_structural_opt](https://github.com/kit-cel/factor_graph_structural_opt)|\n", "2301.11981": "|[unearthing insights into mars: unsupervised source separation with limited data](https://arxiv.org/abs/2301.11981)|[insight_src_sep](https://github.com/alisiahkoohi/insight_src_sep)|\n", "2306.00181": "|[conditionally strongly log-concave generative models](https://arxiv.org/abs/2306.00181)|[wcrg](https://github.com/elempereur/wcrg)|\n", "2306.00717": "|[graph neural networks-based user pairing in wireless communication systems](https://arxiv.org/abs/2306.00717)|[userpairing](https://github.com/sharanmourya/userpairing)|\n", "2109.06141": "|[on tilted losses in machine learning: theory and applications](https://arxiv.org/abs/2109.06141)|[TERM](https://github.com/litian96/TERM)|\n", "2209.01418": "|[outsourcing control requires control complexity](https://arxiv.org/abs/2209.01418)|[learningrequiresintinf](https://github.com/carlottalanger/learningrequiresintinf)|\n"}, "2023-06-03": {}, "2023-06-04": {}, "2023-06-05": {"2212.00724": "|[swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition](https://arxiv.org/abs/2212.00724)|[SWL-Adapt](https://github.com/Rxannro/SWL-Adapt)|\n", "2210.01237": "|[bayes-optimal limits in structured pca, and how to reach them](https://arxiv.org/abs/2210.01237)|[structured-pca-](https://github.com/fcamilli95/structured-pca-)|\n", "2301.13393": "|[probably anytime-safe stochastic combinatorial semi-bandits](https://arxiv.org/abs/2301.13393)|[passcsb](https://github.com/y-hou/passcsb)|\n"}, "2023-06-06": {"2301.11955": "|[adaptive whitening in neural populations with gain-modulating interneurons](https://arxiv.org/abs/2301.11955)|[frame_whitening](https://github.com/lyndond/frame_whitening)|\n", "2303.02408": "|[data augmentation for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2305.17321": "|[optimal resource allocation with delay guarantees for network slicing in disaggregated ran](https://arxiv.org/abs/2305.17321)|[paper-fgkcj-2023](https://github.com/labora-inf-ufg/paper-fgkcj-2023)|\n", "2306.01950": "|[fast and interpretable nonlocal neural networks for image denoising via group-sparse convolutional dictionary learning](https://arxiv.org/abs/2306.01950)|[groupcdl-tip](https://github.com/nikopj/groupcdl-tip)|\n", "2306.02044": "|[why we should report the details in subjective evaluation of tts more rigorously](https://arxiv.org/abs/2306.02044)|[subjectiveevaluation](https://github.com/d223302/subjectiveevaluation)|\n", "2306.02271": "|[subspacenet: deep learning-aided subspace methods for doa estimation](https://arxiv.org/abs/2306.02271)|[subspacenet](https://github.com/shlezingerlab/subspacenet)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2306.02032": "|[admm-based detector for large-scale mimo code-domain noma systems](https://arxiv.org/abs/2306.02032)|[admm-based-detector-for-noma](https://github.com/vikas2020-del/admm-based-detector-for-noma)|\n"}, "2023-06-07": {"2306.02323": "|[lora backscatter communications: temporal, spectral, and error performance analysis](https://arxiv.org/abs/2306.02323)|[lora-backscatter-communications-temperal-spectral-and-error-performance-analysis](https://github.com/slingovie/lora-backscatter-communications-temperal-spectral-and-error-performance-analysis)|\n", "2306.03273": "|[under-counted tensor completion with neural incorporation of attributes](https://arxiv.org/abs/2306.03273)|[undercounted-tensor-completion](https://github.com/shahanaibrahimosu/undercounted-tensor-completion)|\n", "2306.03288": "|[deep learning from crowdsourced labels: coupled cross-entropy minimization, identifiability, and regularization](https://arxiv.org/abs/2306.03288)|[end-to-end-crowdsourcing](https://github.com/shahanaibrahimosu/end-to-end-crowdsourcing)|\n", "2305.18885": "|[criteria tell you more than ratings: criteria preference-aware light graph convolution for effective multi-criteria recommendation](https://arxiv.org/abs/2305.18885)|[cpa-lgc-recbole](https://github.com/jindeok/cpa-lgc-recbole)|\n", "2306.03301": "|[estimating conditional mutual information for dynamic feature selection](https://arxiv.org/abs/2306.03301)|[dime](https://github.com/suinleelab/dime)|\n"}, "2023-06-08": {"2306.04001": "|[one-dimensional deep image prior for curve fitting of s-parameters from electromagnetic solvers](https://arxiv.org/abs/2306.04001)|[curvefitting-dip](https://github.com/sriram-ravula/curvefitting-dip)|\n", "2306.04469": "|[model-based deep learning](https://arxiv.org/abs/2306.04469)|[mbdl_book](https://github.com/shlezingerlab/mbdl_book)|\n", "2209.10438": "|[a measure of the complexity of neural representations based on partial information decomposition](https://arxiv.org/abs/2209.10438)|[nninfo](https://github.com/priesemann-group/nninfo)|\n", "2306.04539": "|[multimodal learning without labeled multimodal data: guarantees and applications](https://arxiv.org/abs/2306.04539)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-06-09": {"2209.09163": "|[validation of the reference impedance in multiline calibration with stepped impedance standards](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2211.15939": "|[an adaptive and robust deep learning framework for thz ultra-massive mimo channel estimation](https://arxiv.org/abs/2211.15939)|[FPN-OAMP-THz-Channel-Estimation](https://github.com/wyuaq/FPN-OAMP-THz-Channel-Estimation)|\n", "2306.05255": "|[toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation](https://arxiv.org/abs/2306.05255)|[drca-mlhm](https://github.com/xzhan96-stf/drca-mlhm)|\n", "2201.08068": "|[power allocation algorithms for massive mimo systems with multi-antenna users](https://arxiv.org/abs/2201.08068)|[Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users](https://github.com/eugenbobrov/Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users)|\n", "2301.00557": "|[learning to maximize mutual information for dynamic feature selection](https://arxiv.org/abs/2301.00557)|[dynamic-selection](https://github.com/iancovert/dynamic-selection)|\n", "2303.08882": "|[generic decoding of restricted errors](https://arxiv.org/abs/2303.08882)|[rest-dec](https://github.com/sebastianbitzer/rest-dec)|\n"}, "2023-06-10": {}, "2023-06-11": {}, "2023-06-12": {"2306.05812": "|[hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection](https://arxiv.org/abs/2306.05812)|[hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection](https://github.com/ahogg/hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection)|\n", "2306.04810": "|[correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry](https://arxiv.org/abs/2306.04810)|[Supervised-CorInfoMax](https://github.com/BariscanBozkurt/Supervised-CorInfoMax)|\n"}, "2023-06-13": {"2306.05775": "|[weight freezing: a regularization approach for fully connected layers with an application in eeg classification](https://arxiv.org/abs/2306.05775)|[weightfreezing](https://github.com/miaozhengqing/weightfreezing)|\n", "2306.06144": "|[bayesian calibration of mems accelerometers](https://arxiv.org/abs/2306.06144)|[bayes_cal_paper](https://github.com/oduerr/bayes_cal_paper)|\n", "2306.06375": "|[optimized gradient tracking for decentralized online learning](https://arxiv.org/abs/2306.06375)|[Optimized-Gradient-Tracking](https://github.com/Shivangi-Dubey-Sharma/Optimized-Gradient-Tracking)|\n", "2306.06522": "|[ts-moco: time-series momentum contrast for self-supervised physiological representation learning](https://arxiv.org/abs/2306.06522)|[ts-moco](https://github.com/philipph77/ts-moco)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-06-14": {"2204.13366": "|[semantic information recovery in wireless networks](https://arxiv.org/abs/2204.13366)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2306.07938": "|[deep demixing: reconstructing the evolution of network epidemics](https://arxiv.org/abs/2306.07938)|[Deep_demixing](https://github.com/gojkoc54/Deep_demixing)|\n", "2302.05151": "|[binomial line cox processes: statistical characterization and applications in wireless network analysis](https://arxiv.org/abs/2302.05151)|[blcp](https://github.com/mt19146/blcp)|\n"}, "2023-06-15": {}, "2023-06-16": {"2205.03812": "|[hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels](https://arxiv.org/abs/2205.03812)|[DPGMM-Channel-Modelling](https://github.com/erhankarakoca/DPGMM-Channel-Modelling)|\n", "2211.06117": "|[closed-form global optimization of beyond diagonal reconfigurable intelligent surfaces](https://arxiv.org/abs/2211.06117)|[optimization-of-bdris](https://github.com/matteonerini/optimization-of-bdris)|\n", "2301.08227": "|[diffusion-based conditional ecg generation with structured state space models](https://arxiv.org/abs/2301.08227)|[sssd-ecg](https://github.com/ai4healthuol/sssd-ecg)|\n", "2306.08514": "|[low-complexity steered response power mapping based on low-rank and sparse interpolation](https://arxiv.org/abs/2306.08514)|[lr-sp-int-srp](https://github.com/tdietzen/lr-sp-int-srp)|\n", "2306.08728": "|[towards trustworthy seizure onset detection using workflow notes](https://arxiv.org/abs/2306.08728)|[eeg_robustness](https://github.com/khaledsaab/eeg_robustness)|\n", "2306.08903": "|[two-way semantic transmission of images without feedback](https://arxiv.org/abs/2306.08903)|[TW-SemanticComm](https://github.com/Kiven-ykw/TW-SemanticComm)|\n", "2306.08173": "|[safeguarding data in multimodal ai: a differentially private approach to clip training](https://arxiv.org/abs/2306.08173)|[dpclip](https://github.com/dpclip/dpclip)|\n"}, "2023-06-17": {}, "2023-06-18": {}, "2023-06-19": {"2306.09839": "|[super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data](https://arxiv.org/abs/2306.09839)|[sparse-array-radar-imaging](https://github.com/christianschuessler/sparse-array-radar-imaging)|\n"}, "2023-06-20": {}, "2023-06-21": {"2003.10347": "|[distributed set-based observers using diffusion strategies](https://arxiv.org/abs/2003.10347)|[distributed-set-based-observers-using-diffusion-strategies](https://github.com/aalanwar/distributed-set-based-observers-using-diffusion-strategies)|\n", "2204.10177": "|[scale dependencies and self-similar models with wavelet scattering spectra](https://arxiv.org/abs/2204.10177)|[scattering_spectra](https://github.com/rudymorel/scattering_spectra)|\n", "2206.02972": "|[decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics](https://arxiv.org/abs/2206.02972)|[dLDS-Discrete-Python-Model](https://github.com/dLDS-Decomposed-Linear-Dynamics/dLDS-Discrete-Python-Model)|\n", "2206.05937": "|[data-driven denoising of stationary accelerometer signals](https://arxiv.org/abs/2206.05937)|[MEMS-IMU-Denoising](https://github.com/ansfl/MEMS-IMU-Denoising)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[dnn-ha](https://github.com/hearingtechnology/dnn-ha)|\n", "2209.01992": "|[tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis](https://arxiv.org/abs/2209.01992)|[tfn](https://github.com/chenqian0618/tfn)|\n", "2209.07170": "|[bayesian optimization of sampling densities in mri](https://arxiv.org/abs/2209.07170)|[bindings-nufft-pytorch](https://github.com/albangossard/bindings-nufft-pytorch)|\n", "2302.08797": "|[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|\n", "2306.02323": "|[lora backscatter communications: temporal, spectral, and error performance analysis](https://arxiv.org/abs/2306.02323)|[lora-backscatter-performance-analysis](https://github.com/slingovie/lora-backscatter-performance-analysis)|\n", "2306.10164": "|[multiwave: multiresolution deep architectures through wavelet decomposition for multivariate time series prediction](https://arxiv.org/abs/2306.10164)|[multiwave](https://github.com/information-fusion-lab-umass/multiwave)|\n", "2306.10356": "|[matnet: multi-level fusion and self-attention transformer-based model for multivariate multi-step day-ahead pv generation forecasting](https://arxiv.org/abs/2306.10356)|[matnet](https://github.com/cosbidev/matnet)|\n", "2306.10588": "|[duta-vc: a duration-aware typical-to-atypical voice conversion approach with diffusion probabilistic model](https://arxiv.org/abs/2306.10588)|[duta-vc](https://github.com/wanghelin1997/duta-vc)|\n", "2306.11123": "|[to fold or not to fold: graph regularized tensor train for visual data completion](https://arxiv.org/abs/2306.11123)|[graphttc](https://github.com/xumaomao94/graphttc)|\n", "2306.10703": "|[fdnet: focal decomposed network for efficient, robust and practical time series forecasting](https://arxiv.org/abs/2306.10703)|[fdnet](https://github.com/origamisl/fdnet)|\n", "2306.11078": "|[beyond normal: on the evaluation of mutual information estimators](https://arxiv.org/abs/2306.11078)|[bmi](https://github.com/cbg-ethz/bmi)|\n"}, "2023-06-22": {"2210.16985": "|[space-time design for deep joint source channel coding of images over mimo channels](https://arxiv.org/abs/2210.16985)|[st_jscc](https://github.com/aprilbian/st_jscc)|\n", "2306.12063": "|[high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder](https://arxiv.org/abs/2306.12063)|[yaldpc](https://github.com/talenik/yaldpc)|\n"}, "2023-06-23": {"2210.15951": "|[signal inpainting from fourier magnitudes](https://arxiv.org/abs/2210.15951)|[inpainting-fourier](https://github.com/louis-bahrman/inpainting-fourier)|\n"}, "2023-06-24": {}, "2023-06-25": {}}
\ No newline at end of file
+{"2021-05-25": {"2101.03909": "|[deep joint source channel coding for wirelessimage transmission with ofdm](https://arxiv.org/abs/2101.03909)|[Deep-JSCC-for-images-with-OFDM](https://github.com/mingyuyng/Deep-JSCC-for-images-with-OFDM)|\n", "2105.07196": "|[joint learning of multiple granger causal networks via non-convex regularizations: inference of group-level brain connectivity](https://arxiv.org/abs/2105.07196)|[JGranger_ncvx](https://github.com/parinthorn/JGranger_ncvx)|\n", "2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n", "2012.13607": "|[deep active learning approach to adaptive beamforming for mmwave initial alignment](https://arxiv.org/abs/2012.13607)|[DL-ActiveLearning-BeamAlignment](https://github.com/foadsohrabi/DL-ActiveLearning-BeamAlignment)|\n", "2105.10883": "|[byzantine-resilient federated machine learning via over-the-air computation](https://arxiv.org/abs/2105.10883)|[Byzantine_AirComp](https://github.com/goldenBill/Byzantine_AirComp)|\n"}, "2021-05-24": {"2105.10398": "|[semi-supervised learning for identifying the likelihood of agitation in people with dementia](https://arxiv.org/abs/2105.10398)|[Agitation_detection](https://github.com/RoonakR/Agitation_detection)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-05-23": {}, "2021-05-26": {"2011.12121": "|[self-supervised transfer learning of physiological representations from free-living wearable data](https://arxiv.org/abs/2011.12121)|[Step2heart](https://github.com/sdimi/Step2heart)|\n", "1810.10625": "|[robust adversarial learning via sparsifying front ends](https://arxiv.org/abs/1810.10625)|[sparsity-based-defenses](https://github.com/soorya19/sparsity-based-defenses)|\n", "2105.11580": "|[npd entropy: a non-parametric differential entropy rate estimator](https://arxiv.org/abs/2105.11580)|[npd_entropy](https://github.com/afeutrill/npd_entropy)|\n", "2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the entropy of classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n"}, "2021-05-22": {}, "2021-05-21": {"2102.03814": "|[min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification](https://arxiv.org/abs/2102.03814)|[MIN2Net](https://github.com/IoBT-VISTEC/MIN2Net)|\n", "2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n"}, "2021-05-27": {"2011.07782": "|[learning to continuously optimize wireless resource in episodically dynamic environment](https://arxiv.org/abs/2011.07782)|[ICASSP2021](https://github.com/Haoran-S/ICASSP2021)|\n", "2102.05793": "|[lenient regret and good-action identification in gaussian process bandits](https://arxiv.org/abs/2102.05793)|[GoodAction](https://github.com/caitree/GoodAction)|\n"}, "2021-05-28": {"1910.14322": "|[multi-resolution csi feedback with deep learning in massive mimo system](https://arxiv.org/abs/1910.14322)|[CRNet](https://github.com/Kylin9511/CRNet)|\n", "2007.00038": "|[unsupervised deep learning for massive mimo hybrid beamforming](https://arxiv.org/abs/2007.00038)|[HBF-Net](https://github.com/HamedHojatian/HBF-Net)|\n", "2105.12916": "|[robust learning from corrupted eeg with dynamic spatial filtering](https://arxiv.org/abs/2105.12916)|[dynamic-spatial-filtering](https://github.com/hubertjb/dynamic-spatial-filtering)|\n"}, "2021-05-29": {}, "2021-05-30": {}, "2021-05-31": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.13864": "|[salientsleepnet: multimodal salient wave detection network for sleep staging](https://arxiv.org/abs/2105.13864)|[SalientSleepNet](https://github.com/ziyujia/SalientSleepNet)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2021-06-01": {"1910.09857": "|[an efficient and effective second-order training algorithm for lstm-based adaptive learning](https://arxiv.org/abs/1910.09857)|[EfficientEffectiveLSTM](https://github.com/nurimertvural/EfficientEffectiveLSTM)|\n", "2008.03612": "|[block deep neural network-based signal detector for generalized spatial modulation](https://arxiv.org/abs/2008.03612)|[B_DNN](https://github.com/hasanabs/B_DNN)|\n", "2011.00619": "|[support recovery for sparse multidimensional phase retrieval](https://arxiv.org/abs/2011.00619)|[Sparse-Multidimensional-PR](https://github.com/sew347/Sparse-Multidimensional-PR)|\n", "2011.14387": "|[overcoming measurement inconsistency in deep learning for linear inverse problems: applications in medical imaging](https://arxiv.org/abs/2011.14387)|[mri-tvtv](https://github.com/marijavella/mri-tvtv)|\n", "2012.09778": "|[interval propagation through the discrete fourier transform](https://arxiv.org/abs/2012.09778)|[Fourier-transform](https://github.com/marcodeangelis/Fourier-transform)|\n", "2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2101.12370": "|[an automated theorem proving framework for information-theoretic results](https://arxiv.org/abs/2101.12370)|[psitip](https://github.com/cheuktingli/psitip)|\n"}, "2021-06-02": {"2011.10282": "|[reconfigurable intelligent surface enabled federated learning: a unified communication-learning design approach](https://arxiv.org/abs/2011.10282)|[RIS-FL](https://github.com/liuhang1994/RIS-FL)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2106.00606": "|[dynamic-deep: ecg task-aware compression](https://arxiv.org/abs/2106.00606)|[Dynamic-Deep](https://github.com/eladwass/Dynamic-Deep)|\n", "2106.00613": "|[a compact and interpretable convolutional neural network for cross-subject driver drowsiness detection from single-channel eeg](https://arxiv.org/abs/2106.00613)|[A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG](https://github.com/cuijiancorbin/A-Compact-and-Interpretable-Convolutional-Neural-Network-for-Single-Channel-EEG)|\n", "2106.00615": "|[meta-har: federated representation learning for human activity recognition](https://arxiv.org/abs/2106.00615)|[Meta-HAR](https://github.com/Chain123/Meta-HAR)|\n"}, "2021-06-03": {"2104.01504": "|[adaptive self-interference cancellation for full-duplex wireless communication systems](https://arxiv.org/abs/2104.01504)|[Full-Duplex-Steepest-Descent](https://github.com/ebalti/Full-Duplex-Steepest-Descent)|\n", "2106.00941": "|[self-training sampling with monolingual data uncertainty for neural machine translation](https://arxiv.org/abs/2106.00941)|[UncSamp](https://github.com/wxjiao/UncSamp)|\n"}, "2021-06-04": {"2006.11435": "|[channel estimation for one-bit multiuser massive mimo using conditional gan](https://arxiv.org/abs/2006.11435)|[Channel_Estimation_cGAN](https://github.com/YudiDong/Channel_Estimation_cGAN)|\n", "2010.15120": "|[gender bias in depression detection using audio features](https://arxiv.org/abs/2010.15120)|[DepAudioNet_reproduction](https://github.com/adbailey1/DepAudioNet_reproduction)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/dahong/heteroscedastic-probabilistic-pca)|\n", "2103.04722": "|[sparse kronecker-product coding for unsourced multiple access](https://arxiv.org/abs/2103.04722)|[SKPC-UMA](https://github.com/Zeyu-Han01/SKPC-UMA)|\n", "2010.12461": "|[multi-uav path planning for wireless data harvesting with deep reinforcement learning](https://arxiv.org/abs/2010.12461)|[uav_data_harvesting](https://github.com/hbayerlein/uav_data_harvesting)|\n"}, "2021-06-05": {}, "2021-06-06": {}, "2021-06-07": {"2106.02352": "|[cold: concurrent loads disaggregator for non-intrusive load monitoring](https://arxiv.org/abs/2106.02352)|[cold-nilm](https://github.com/arx7ti/cold-nilm)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2106.02146": "|[the signed cumulative distribution transform for 1-d signal analysis and classification](https://arxiv.org/abs/2106.02146)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n"}, "2021-06-08": {"2006.13019": "|[optimal network slicing for service-oriented networks with flexible routing and guaranteed e2e latency](https://arxiv.org/abs/2006.13019)|[networkslicing](https://github.com/chenweikun/networkslicing)|\n", "2106.00639": "|[multi-modal point-of-care diagnostics for covid-19 based on acoustics and symptoms](https://arxiv.org/abs/2106.00639)|[MuDiCov](https://github.com/iiscleap/MuDiCov)|\n", "2106.03497": "|[configuring an intelligent reflecting surface for wireless communications](https://arxiv.org/abs/2106.03497)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[BDforUavPath](https://github.com/Yuanliaoo/BDforUavPath)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-09": {"2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2106.04043": "|[dilated convolution based csi feedback compression for massive mimo systems](https://arxiv.org/abs/2106.04043)|[DCRNet](https://github.com/recusant7/DCRNet)|\n", "2012.14350": "|[deepbeam: deep waveform learning for coordination-free beam management in mmwave networks](https://arxiv.org/abs/2012.14350)|[deepbeam](https://github.com/wineslab/deepbeam)|\n", "2106.02796": "|[principal bit analysis: autoencoding with schur-concave loss](https://arxiv.org/abs/2106.02796)|[PBA](https://github.com/SourbhBh/PBA)|\n", "2106.04443": "|[robust generalization despite distribution shift via minimum discriminating information](https://arxiv.org/abs/2106.04443)|[PMDI_DRO](https://github.com/pmdidro/PMDI_DRO)|\n"}, "2021-06-10": {"2105.14642": "|[an iterative jacobi-like algorithm to compute a few sparse eigenvalue-eigenvector pairs](https://arxiv.org/abs/2105.14642)|[JACOBI-PCA](https://github.com/cristian-rusu-research/JACOBI-PCA)|\n", "2106.04280": "|[optimizing a binary intelligent reflecting surface for ofdm communications under mutual coupling](https://arxiv.org/abs/2106.04280)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2106.05148": "|[time-frequency phase retrieval for audio -- the effect of transform parameters](https://arxiv.org/abs/2106.05148)|[phaseRetrievalEvaluation](https://github.com/andimarafioti/phaseRetrievalEvaluation)|\n", "1905.09944": "|[unsupervised discovery of temporal structure in noisy data with dynamical components analysis](https://arxiv.org/abs/1905.09944)|[DynamicalComponentsAnalysis](https://github.com/BouchardLab/DynamicalComponentsAnalysis)|\n"}, "2021-06-11": {"2106.05377": "|[generating mimo channels for 6g virtual worlds using ray-tracing simulations](https://arxiv.org/abs/2106.05377)|[SSP-Raymobtime](https://github.com/lasseufpa/SSP-Raymobtime)|\n", "2106.05380": "|[aerial reconfigurable intelligent surface-aided wireless communication systems](https://arxiv.org/abs/2106.05380)|[Aerial-RIS](https://github.com/trinhudo/Aerial-RIS)|\n"}, "2021-06-12": {}, "2021-06-13": {}, "2021-06-14": {"2102.13416": "|[moreau-yosida $f$-divergences](https://arxiv.org/abs/2102.13416)|[moreau-yosida-f-divergences](https://github.com/renyi-ai/moreau-yosida-f-divergences)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[MCR2](https://github.com/Ma-Lab-Berkeley/MCR2)|\n"}, "2021-06-15": {"2106.07006": "|[towards fast region adaptive ultrasound beamformer for plane wave imaging using convolutional neural networks](https://arxiv.org/abs/2106.07006)|[cnnusbf](https://github.com/rpm1412/cnnusbf)|\n", "2106.07016": "|[wase: learning when to attend for speaker extraction in cocktail party environments](https://arxiv.org/abs/2106.07016)|[wase](https://github.com/aispeech-lab/wase)|\n", "2106.07066": "|[enhanced hyperspectral image super-resolution via rgb fusion and tv-tv minimization](https://arxiv.org/abs/2106.07066)|[hs-sr-tvtv](https://github.com/marijavella/hs-sr-tvtv)|\n", "2012.07983": "|[on continuous local bdd-based search for hybrid sat solving](https://arxiv.org/abs/2012.07983)|[GradSAT](https://github.com/vardigroup/GradSAT)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2106.02782": "|[on perceptual lossy compression: the cost of perceptual reconstruction and an optimal training framework](https://arxiv.org/abs/2106.02782)|[Perceptual-Lossy-Compression](https://github.com/ZeyuYan/Perceptual-Lossy-Compression)|\n"}, "2021-06-16": {"2004.11468": "|[how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series](https://arxiv.org/abs/2004.11468)|[uniqed](https://github.com/phrenico/uniqed)|\n", "2005.08898": "|[accelerating ill-conditioned low-rank matrix estimation via scaled gradient descent](https://arxiv.org/abs/2005.08898)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2104.02469": "|[speaker diarization using two-pass leave-one-out gaussian plda clustering of dnn embeddings](https://arxiv.org/abs/2104.02469)|[VBx](https://github.com/hltcoe/VBx)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2106.07939": "|[attention-based distributed speech enhancement for unconstrained microphone arrays with varying number of nodes](https://arxiv.org/abs/2106.07939)|[disco](https://github.com/nfurnon/disco)|\n", "2102.11086": "|[improving lossless compression rates via monte carlo bits-back coding](https://arxiv.org/abs/2102.11086)|[mcbits](https://github.com/ryoungj/mcbits)|\n", "2102.12675": "|[computing accurate probabilistic estimates of one-d entropy from equiprobable random samples](https://arxiv.org/abs/2102.12675)|[Entropy](https://github.com/rehsani/Entropy)|\n", "2106.07964": "|[improving the list decoding version of the cyclically equivariant neural decoder](https://arxiv.org/abs/2106.07964)|[code](https://github.com/improvedlistdecoder/code)|\n"}, "2021-06-17": {"2106.07785": "|[multivariate public key cryptosystem from sidon spaces](https://arxiv.org/abs/2106.07785)|[Sidon-Cryptosystem](https://github.com/b-langton/Sidon-Cryptosystem)|\n"}, "2021-06-18": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2105.00528": "|[a 1d-cnn based deep learning technique for sleep apnea detection in iot sensors](https://arxiv.org/abs/2105.00528)|[CNN_sleep_apnea](https://github.com/arlenejohn/CNN_sleep_apnea)|\n", "2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[PartiallyObservedVectorAutoRegressions](https://github.com/gdalle/PartiallyObservedVectorAutoRegressions)|\n", "2106.09594": "|[a factor graph em algorithm for inference of kinetic microstates from patch clamp measurements](https://arxiv.org/abs/2106.09594)|[PatchClampFactorGraphEM](https://github.com/andreweckford/PatchClampFactorGraphEM)|\n"}, "2021-06-19": {}, "2021-06-20": {}, "2021-06-21": {"2101.02452": "|[robustsleepnet: transfer learning for automated sleep staging at scale](https://arxiv.org/abs/2101.02452)|[RobustSleepNet](https://github.com/Dreem-Organization/RobustSleepNet)|\n", "2106.10108": "|[under the sand: navigation and localization of a small unmanned aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2010.07904": "|[probabilistic sequential shrinking: a best arm identification algorithm for stochastic bandits with corruptions](https://arxiv.org/abs/2010.07904)|[2021-ICML](https://github.com/zixinzh/2021-ICML)|\n"}, "2021-06-22": {"1912.05507": "|[automated pipeline for eeg artifact reduction (appear) recorded during fmri](https://arxiv.org/abs/1912.05507)|[appear](https://github.com/obada-alzoubi/appear)|\n", "2006.10159": "|[automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors](https://arxiv.org/abs/2006.10159)|[qkeras](https://github.com/google/qkeras)|\n", "2006.16671": "|[real elliptically skewed distributions and their application to robust cluster analysis](https://arxiv.org/abs/2006.16671)|[Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Distributions)|\n", "2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n"}, "2021-06-23": {"2103.09171": "|[interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones](https://arxiv.org/abs/2103.09171)|[DBA](https://github.com/fpetitjean/DBA)|\n", "2104.01293": "|[extraction of instantaneous frequencies and amplitudes in nonstationary time-series data](https://arxiv.org/abs/2104.01293)|[NFMD-ExtractionInstantaneous](https://github.com/sheadan/NFMD-ExtractionInstantaneous)|\n", "2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2106.10711": "|[transfer bayesian meta-learning via weighted free energy minimization](https://arxiv.org/abs/2106.10711)|[meta_learning_pacoh](https://github.com/jonasrothfuss/meta_learning_pacoh)|\n", "2106.11170": "|[transformer-based spatial-temporal feature learning for eeg decoding](https://arxiv.org/abs/2106.11170)|[EEG-Transformer](https://github.com/anranknight/EEG-Transformer)|\n", "2106.11595": "|[reinforcement learning for phy layer communications](https://arxiv.org/abs/2106.11595)|[malin-multi-armed-bandit-learning-for-iot-networks-with-grc](https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc)|\n", "2002.12873": "|[federated over-air subspace tracking from incomplete and corrupted data](https://arxiv.org/abs/2002.12873)|[distributed-pca](https://github.com/praneethmurthy/distributed-pca)|\n", "2106.11438": "|[instance-optimal compressed sensing via posterior sampling](https://arxiv.org/abs/2106.11438)|[code-cs-fairness](https://github.com/ajiljalal/code-cs-fairness)|\n", "2106.11723": "|[deep stereo image compression with decoder side information using wyner common information](https://arxiv.org/abs/2106.11723)|[DWSIC](https://github.com/ipc-lab/DWSIC)|\n"}, "2021-06-24": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2006.09461": "|[robust compressed sensing using generative models](https://arxiv.org/abs/2006.09461)|[csgm-robust-neurips](https://github.com/ajiljalal/csgm-robust-neurips)|\n"}, "2021-06-25": {"1912.01171": "|[universal adversarial perturbations for cnn classifiers in eeg-based bcis](https://arxiv.org/abs/1912.01171)|[UAP_EEG](https://github.com/ZihanLiu95/UAP_EEG)|\n", "2010.11991": "|[atlas fusion -- modern framework for autonomous agent sensor data fusion](https://arxiv.org/abs/2010.11991)|[Atlas-Fusion](https://github.com/Robotics-BUT/Atlas-Fusion)|\n", "2106.12728": "|[atp-net: an attention-based ternary projection network for compressed sensing](https://arxiv.org/abs/2106.12728)|[ATP-Net](https://github.com/MasonNie/ATP-Net)|\n", "2106.13083": "|[a declarative goal-oriented framework for smart environments with lpaas](https://arxiv.org/abs/2106.13083)|[Solomon](https://github.com/di-unipi-socc/Solomon)|\n", "2002.07844": "|[capacity-achieving spatially coupled sparse superposition codes with amp decoding](https://arxiv.org/abs/2002.07844)|[sparc_public](https://github.com/kuanhsieh/sparc_public)|\n"}, "2021-06-26": {}, "2021-06-27": {}, "2021-06-28": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2102.12525": "|[prior image-constrained reconstruction using style-based generative models](https://arxiv.org/abs/2102.12525)|[pic-recon](https://github.com/comp-imaging-sci/pic-recon)|\n", "2106.13358": "|[scalable perception-action-communication loops with convolutional and graph neural networks](https://arxiv.org/abs/2106.13358)|[VGAI](https://github.com/VITA-Group/VGAI)|\n", "2003.12006": "|[linearly self-equivalent apn permutations in small dimension](https://arxiv.org/abs/2003.12006)|[self_equivalent_apn](https://github.com/cbe90/self_equivalent_apn)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n", "2104.07006": "|[fast quantum state reconstruction via accelerated non-convex programming](https://arxiv.org/abs/2104.07006)|[MiFGD](https://github.com/gidiko/MiFGD)|\n"}, "2021-06-29": {"2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "1711.05519": "|[accelerated alternating projections for robust principal component analysis](https://arxiv.org/abs/1711.05519)|[AccAltProj_for_RPCA](https://github.com/caesarcai/AccAltProj_for_RPCA)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n", "2106.14866": "|[learning from an exploring demonstrator: optimal reward estimation for bandits](https://arxiv.org/abs/2106.14866)|[inverse-bandit-code-release](https://github.com/wenshuoguo/inverse-bandit-code-release)|\n"}, "2021-06-30": {}, "2021-07-01": {}, "2021-07-02": {"1912.05507": "|[automated pipeline for eeg artifact reduction (appear) recorded during fmri](https://arxiv.org/abs/1912.05507)|[appear](https://github.com/obada-alzoubi/appear)|\n", "2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2104.07388": "|[conditional independence for pretext task selection in self-supervised speech representation learning](https://arxiv.org/abs/2104.07388)|[Pseudo-Label-Selection](https://github.com/salah-zaiem/Pseudo-Label-Selection)|\n", "2106.11595": "|[reinforcement learning for physical layer communications](https://arxiv.org/abs/2106.11595)|[malin-multi-armed-bandit-learning-for-iot-networks-with-grc](https://bitbucket.org/scee_ietr/malin-multi-armed-bandit-learning-for-iot-networks-with-grc)|\n"}, "2021-07-03": {}, "2021-07-04": {}, "2021-07-05": {"2006.16671": "|[real elliptically skewed distributions and their application to robust cluster analysis](https://arxiv.org/abs/2006.16671)|[Real-Elliptically-Skewed-Distributions](https://github.com/schrchr/Real-Elliptically-Skewed-Distributions)|\n", "2103.11199": "|[joint analog beam selection and digital beamforming in millimeter wave cell-free massive mimo systems](https://arxiv.org/abs/2103.11199)|[JointDesigninmmWaveCellFreeNetworks](https://github.com/DrCMY/JointDesigninmmWaveCellFreeNetworks)|\n", "2107.00693": "|[inter-beat interval estimation with tiramisu model: a novel approach with reduced error](https://arxiv.org/abs/2107.00693)|[IBI_Tiramisu](https://github.com/Arefeen06088/IBI_Tiramisu)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2107.01152": "|[simpler, faster, stronger: breaking the log-k curse on contrastive learners with flatnce](https://arxiv.org/abs/2107.01152)|[FlatCLR](https://github.com/Junya-Chen/FlatCLR)|\n"}, "2021-07-06": {"2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2107.02027": "|[packing: towards 2x nlp bert acceleration](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n"}, "2021-07-07": {"2012.04358": "|[discrete signal processing on meet/join lattices](https://arxiv.org/abs/2012.04358)|[lattice-signal-processing](https://github.com/bseifert-HSA/lattice-signal-processing)|\n", "2102.05150": "|[rodnet: a real-time radar object detection network cross-supervised by camera-radar fused object 3d localization](https://arxiv.org/abs/2102.05150)|[RODNet](https://github.com/yizhou-wang/RODNet)|\n", "2107.02389": "|[learning semantic segmentation of large-scale point clouds with random sampling](https://arxiv.org/abs/2107.02389)|[RandLA-Net](https://github.com/QingyongHu/RandLA-Net)|\n", "2104.09460": "|[bayesian algorithm execution: estimating computable properties of black-box functions using mutual information](https://arxiv.org/abs/2104.09460)|[bayesian-algorithm-execution](https://github.com/willieneis/bayesian-algorithm-execution)|\n"}, "2021-07-08": {"2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2021-07-09": {"2101.03792": "|[diagnosis of intelligent reflecting surface in millimeter-wave communication systems](https://arxiv.org/abs/2101.03792)|[IRSdiagnosis](https://github.com/DestinationSR/IRSdiagnosis)|\n", "2107.03432": "|[iowarain: a statewide rain event dataset based on weather radars and quantitative precipitation estimation](https://arxiv.org/abs/2107.03432)|[IowaRain](https://github.com/uihilab/IowaRain)|\n"}, "2021-07-10": {}, "2021-07-11": {}, "2021-07-12": {"2006.04937": "|[interpretable classification of bacterial raman spectra with knockoff wavelets](https://arxiv.org/abs/2006.04937)|[raman-knockoffs](https://github.com/chicanagram/raman-knockoffs)|\n", "2107.04174": "|[easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments](https://arxiv.org/abs/2107.04174)|[EasyComDataset](https://github.com/facebookresearch/EasyComDataset)|\n", "2107.04395": "|[block alternating bregman majorization minimization with extrapolation](https://arxiv.org/abs/2107.04395)|[BMME](https://github.com/LeThiKhanhHien/BMME)|\n", "1906.12072": "|[multiple testing and variable selection along least angle regression's path](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n"}, "2021-07-13": {"2107.04973": "|[a deep-bayesian framework for adaptive speech duration modification](https://arxiv.org/abs/2107.04973)|[pytorch-speech-transformer](https://github.com/ravi-0841/pytorch-speech-transformer)|\n", "2107.05050": "|[neural waveshaping synthesis](https://arxiv.org/abs/2107.05050)|[neural-waveshaping-synthesis](https://github.com/ben-hayes/neural-waveshaping-synthesis)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2102.02541": "|[on fading channel dependency structures with a positive zero-outage capacity](https://arxiv.org/abs/2102.02541)|[zero-outage-joint-distributions](https://gitlab.com/klb2/zero-outage-joint-distributions)|\n"}, "2021-07-14": {"2107.06242": "|[low rate protograph-based ldpc codes for continuous variable quantum key distribution](https://arxiv.org/abs/2107.06242)|[Protograph_Optimization](https://github.com/kadirgumus/Protograph_Optimization)|\n"}, "2021-07-15": {"2107.06678": "|[optimal power allocation in downlink noma](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2107.06440": "|[trellis bma: coded trace reconstruction on ids channels for dna storage](https://arxiv.org/abs/2107.06440)|[clustered-nanopore-reads-dataset](https://github.com/microsoft/clustered-nanopore-reads-dataset)|\n"}, "2021-07-16": {"2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/kentgens/visualization-of-sh-domain-operations)|\n", "2107.07250": "|[a low-complexity radar detector outperforming os-cfar for indoor drone obstacle avoidance](https://arxiv.org/abs/2107.07250)|[RadarDetector](https://github.com/ali20480/RadarDetector)|\n"}, "2021-07-17": {}, "2021-07-18": {}, "2021-07-19": {"2007.00322": "|[kernel learning for high-resolution time-frequency distribution](https://arxiv.org/abs/2007.00322)|[KL-TFD](https://github.com/teki97/KL-TFD)|\n", "2107.07596": "|[depth estimation from monocular images and sparse radar using deep ordinal regression network](https://arxiv.org/abs/2107.07596)|[DORN_radar](https://github.com/lochenchou/DORN_radar)|\n", "2009.12789": "|[learning optimal representations with the decodable information bottleneck](https://arxiv.org/abs/2009.12789)|[Mini_Decodable_Information_Bottleneck](https://github.com/YannDubs/Mini_Decodable_Information_Bottleneck)|\n", "2102.07402": "|[information flows of diverse autoencoders](https://arxiv.org/abs/2102.07402)|[IPRL](https://github.com/Sungyeop/IPRL)|\n"}, "2021-07-20": {}, "2021-07-21": {"2008.09524": "|[change point detection in time series data using autoencoders with a time-invariant representation](https://arxiv.org/abs/2008.09524)|[TIRE](https://github.com/deryckt/TIRE)|\n", "2010.13677": "|[deep low-rank plus sparse network for dynamic mr imaging](https://arxiv.org/abs/2010.13677)|[LS-Net-Dynamic-MRI](https://github.com/wenqihuang/LS-Net-Dynamic-MRI)|\n", "2101.05206": "|[deep learning assisted calibrated beam training for millimeter-wave communication systems](https://arxiv.org/abs/2101.05206)|[DL-assisted-calibrated-beam-training](https://github.com/KeMa1998/DL-assisted-calibrated-beam-training)|\n", "2102.00196": "|[directional sparse filtering using weighted lehmer mean for blind separation of unbalanced speech mixtures](https://arxiv.org/abs/2102.00196)|[directional-sparse-filtering-tf](https://github.com/karnwatcharasupat/directional-sparse-filtering-tf)|\n", "2103.12177": "|[energy disaggregation using variational autoencoders](https://arxiv.org/abs/2103.12177)|[VAE-NILM](https://github.com/ETSSmartRes/VAE-NILM)|\n", "2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2104.12922": "|[one billion audio sounds from gpu-enabled modular synthesis](https://arxiv.org/abs/2104.12922)|[torchsynth](https://github.com/torchsynth/torchsynth)|\n", "2107.09202": "|[compressing multisets with large alphabets](https://arxiv.org/abs/2107.09202)|[multiset-compression](https://github.com/facebookresearch/multiset-compression)|\n"}, "2021-07-22": {"2106.10132": "|[vqmivc: vector quantization and mutual information-based unsupervised speech representation disentanglement for one-shot voice conversion](https://arxiv.org/abs/2106.10132)|[VQMIVC](https://github.com/Wendison/VQMIVC)|\n", "2107.09716": "|[regularized classification-aware quantization](https://arxiv.org/abs/2107.09716)|[rcaq](https://github.com/dsevero/rcaq)|\n", "2107.09869": "|[ecg heartbeat classification using multimodal fusion](https://arxiv.org/abs/2107.09869)|[ECG-Heartbeat-Classification-Using-Multimodal-Fusion](https://github.com/zaamad/ECG-Heartbeat-Classification-Using-Multimodal-Fusion)|\n"}, "2021-07-23": {"2004.08962": "|[high-dimensional fast convolutional framework (hicu) for calibrationless mri](https://arxiv.org/abs/2004.08962)|[HICU](https://github.com/OSU-CMR/HICU)|\n", "2102.07896": "|[a multispeaker dataset of raw and reconstructed speech production real-time mri video and 3d volumetric images](https://arxiv.org/abs/2102.07896)|[usc_speech_mri](https://github.com/usc-mrel/usc_speech_mri)|\n", "2107.10790": "|[interpretable sincnet-based deep learning for emotion recognition from eeg brain activity](https://arxiv.org/abs/2107.10790)|[SincNet-for-Autism-EEG-based-Emotion-Recognition](https://github.com/meiyor/SincNet-for-Autism-EEG-based-Emotion-Recognition)|\n"}, "2021-07-24": {}, "2021-07-25": {}, "2021-07-26": {}, "2021-07-27": {"2004.02494": "|[adaptive social learning](https://arxiv.org/abs/2004.02494)|[asl-it-2021](https://github.com/asl-epfl/asl-it-2021)|\n", "2101.00895": "|[a mixed integer least-squares formulation of the gnss snapshot positioning problem](https://arxiv.org/abs/2101.00895)|[snapshot-positioning](https://github.com/eyalw711/snapshot-positioning)|\n", "2102.02802": "|[federated mmwave beam selection utilizing lidar data](https://arxiv.org/abs/2102.02802)|[ITU_Beam_Selection_TF](https://github.com/galidor/ITU_Beam_Selection_TF)|\n", "2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://gitlab.com/klb2/ris-phase-hopping)|\n", "2102.12586": "|[fermi: fair empirical risk minimization via exponential r\\'enyi mutual information](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2021-07-28": {"2001.07620": "|[edgenets:edge varying graph neural networks](https://arxiv.org/abs/2001.07620)|[graph-neural-networks](https://github.com/alelab-upenn/graph-neural-networks)|\n", "2107.05050": "|[neural waveshaping synthesis](https://arxiv.org/abs/2107.05050)|[neural-waveshaping-synthesis](https://github.com/ben-hayes/neural-waveshaping-synthesis)|\n", "2102.07402": "|[information flows of diverse autoencoders](https://arxiv.org/abs/2102.07402)|[IPRL](https://github.com/Sungyeop/IPRL)|\n", "2103.02928": "|[straggler mitigation through unequal error protection for distributed approximate matrix multiplication](https://arxiv.org/abs/2103.02928)|[UEP-Straggler-Mitigation](https://github.com/HernandezEduin/UEP-Straggler-Mitigation)|\n"}, "2021-07-29": {"2009.11662": "|[eegdenoisenet: a benchmark dataset for end-to-end deep learning solutions of eeg denoising](https://arxiv.org/abs/2009.11662)|[Single-Channel-EEG-Denoise](https://github.com/ncclabsustech/Single-Channel-EEG-Denoise)|\n", "2107.13412": "|[on optimal quantization in sequential detection](https://arxiv.org/abs/2107.13412)|[QSPRT](https://github.com/mifauss/QSPRT)|\n"}, "2021-07-30": {}, "2021-07-31": {}, "2021-08-01": {}, "2021-08-02": {"2107.14398": "|[on the interpretation of linear riemannian tangent space model parameters in m/eeg](https://arxiv.org/abs/2107.14398)|[interpret_lin_rts_mdls](https://github.com/rkobler/interpret_lin_rts_mdls)|\n"}, "2021-08-03": {"2009.01423": "|[deep residual learning for channel estimation in intelligent reflecting surface-assisted multi-user communications](https://arxiv.org/abs/2009.01423)|[CDRN-channel-estimation-IRS](https://github.com/XML124/CDRN-channel-estimation-IRS)|\n", "2011.03414": "|[robust enf estimation based on harmonic enhancement and maximum weight clique](https://arxiv.org/abs/2011.03414)|[ENF-WHU-Dataset](https://github.com/ghuawhu/ENF-WHU-Dataset)|\n", "2104.07963": "|[opencsi: an open-source dataset for indoor localization using csi-based fingerprinting](https://arxiv.org/abs/2104.07963)|[thymio-radio-map](https://github.com/arthurgassner/thymio-radio-map)|\n", "2108.00506": "|[a scalable federated multi-agent architecture for networked connected communication network](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2108.00640": "|[few-shot calibration of low-cost air pollution (pm2.5) sensors using meta-learning](https://arxiv.org/abs/2108.00640)|[2021KalpitBTMT](https://github.com/madhavlab/2021KalpitBTMT)|\n"}, "2021-08-04": {"2004.05768": "|[sequential weakly labeled multi-activity localization and recognition on wearable sensors using recurrent attention networks](https://arxiv.org/abs/2004.05768)|[RAN](https://github.com/KennCoder7/RAN)|\n", "2108.01643": "|[progressive transmission using recurrent neural networks](https://arxiv.org/abs/2108.01643)|[Progressive_transmission](https://github.com/safarisadegh/Progressive_transmission)|\n", "2108.01368": "|[robust compressed sensing mri with deep generative priors](https://arxiv.org/abs/2108.01368)|[csgm-mri-langevin](https://github.com/utcsilab/csgm-mri-langevin)|\n"}, "2021-08-05": {"2108.02039": "|[random convolution kernels with multi-scale decomposition for preterm eeg inter-burst detection](https://arxiv.org/abs/2108.02039)|[ms_rocket](https://github.com/otoolej/ms_rocket)|\n"}, "2021-08-06": {"2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2108.02541": "|[foundations of user-centric cell-free massive mimo](https://arxiv.org/abs/2108.02541)|[cell-free-book](https://github.com/emilbjornson/cell-free-book)|\n"}, "2021-08-07": {}, "2021-08-08": {}, "2021-08-09": {"2103.13853": "|[searching for waveforms on spatially-filtered epileptic ecog](https://arxiv.org/abs/2103.13853)|[cspwave](https://github.com/chmendoza/cspwave)|\n"}, "2021-08-10": {"2104.06307": "|[detecting false data injection attacks in smart grids with modeling errors: a deep transfer learning based approach](https://arxiv.org/abs/2104.06307)|[DTL-FDIA-TSG](https://github.com/599143868/DTL-FDIA-TSG)|\n", "2108.03569": "|[deep single shot musical instrument identification using scalograms](https://arxiv.org/abs/2108.03569)|[deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features](https://github.com/dibakar1/deep-single-shot-musical-instrument-identificationusing-time-frequency-localized-features)|\n", "2108.03576": "|[beatnet: crnn and particle filtering for online joint beat downbeat and meter tracking](https://arxiv.org/abs/2108.03576)|[beatnet](https://github.com/mjhydri/beatnet)|\n"}, "2021-08-11": {"2104.04757": "|[adversarially-trained nonnegative matrix factorization](https://arxiv.org/abs/2104.04757)|[AT_NMF](https://github.com/caiting123321/AT_NMF)|\n", "2108.04577": "|[an open framework for analyzing and modeling xr network traffic](https://arxiv.org/abs/2108.04577)|[ns-3-vr-app](https://github.com/signetlabdei/ns-3-vr-app)|\n", "2108.04436": "|[a generalizable model-and-data driven approach for open-set rff authentication](https://arxiv.org/abs/2108.04436)|[ns-rff](https://github.com/xrj-com/ns-rff)|\n"}, "2021-08-12": {"2108.05000": "|[statistical inference in the differential privacy model](https://arxiv.org/abs/2108.05000)|[INSPECTRE](https://github.com/HuanyuZhang/INSPECTRE)|\n"}, "2021-08-13": {"2012.12351": "|[is the brain macroscopically linear? a system identification of resting state dynamics](https://arxiv.org/abs/2012.12351)|[rest-system-id](https://github.com/enozari/rest-system-id)|\n"}, "2021-08-14": {}, "2021-08-15": {}, "2021-08-16": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n"}, "2021-08-17": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2010.15979": "|[a greedy algorithm for quantizing neural networks](https://arxiv.org/abs/2010.15979)|[quantized_neural_networks](https://github.com/elybrand/quantized_neural_networks)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n"}, "2021-08-18": {"2005.05964": "|[deep completion autoencoders for radio map estimation](https://arxiv.org/abs/2005.05964)|[deep-autoencoders-cartography](https://github.com/yvestegnya2/deep-autoencoders-cartography)|\n", "2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2106.07006": "|[towards fast region adaptive ultrasound beamformer for plane wave imaging using convolutional neural networks](https://arxiv.org/abs/2106.07006)|[cnnusbf](https://github.com/rpm1412/cnnusbf)|\n", "2108.01643": "|[progressive transmission using recurrent neural networks](https://arxiv.org/abs/2108.01643)|[Progressive_transmission](https://github.com/safarisadegh/Progressive_transmission)|\n", "2108.06943": "|[language-independent approach for automatic computation of vowel articulation features in dysarthric speech assessment](https://arxiv.org/abs/2108.06943)|[autovai](https://github.com/speechcog/autovai)|\n", "2108.07377": "|[precision and accuracy of acoustic gunshot location in an urban environment](https://arxiv.org/abs/2108.07377)|[research.accuracy-of-gunshot-location](https://github.com/shotspotter/research.accuracy-of-gunshot-location)|\n", "2108.07567": "|[how powerful is graph convolution for recommendation?](https://arxiv.org/abs/2108.07567)|[GF_CF](https://github.com/yshenaw/GF_CF)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n"}, "2021-08-19": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2010.15120": "|[gender bias in depression detection using audio features](https://arxiv.org/abs/2010.15120)|[DepAudioNet_reproduction](https://github.com/adbailey1/DepAudioNet_reproduction)|\n", "2108.07908": "|[m-ar-k-fast independent component analysis](https://arxiv.org/abs/2108.07908)|[_fastica.py](https://github.com/luca-parisi/m-arcsinh_scikit-learn_TensorFlow_Keras/blob/master/_fastica.py)|\n"}, "2021-08-20": {"2108.08470": "|[chmusic: a traditional chinese music dataset for evaluation of instrument recognition](https://arxiv.org/abs/2108.08470)|[chmusic](https://github.com/haoranweiutd/chmusic)|\n", "1803.06987": "|[synthesis of logical clifford operators via symplectic geometry](https://arxiv.org/abs/1803.06987)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "1904.07842": "|[kerdock codes determine unitary 2-designs](https://arxiv.org/abs/1904.07842)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "1907.00310": "|[logical clifford synthesis for stabilizer codes](https://arxiv.org/abs/1907.00310)|[symplectic-arxiv18a](https://github.com/nrenga/symplectic-arxiv18a)|\n", "2003.04356": "|[belief propagation with quantum messages for quantum-enhanced classical communications](https://arxiv.org/abs/2003.04356)|[bpqm](https://github.com/nrenga/bpqm)|\n"}, "2021-08-21": {"2108.05000": "|[statistical inference in the differential privacy model](https://arxiv.org/abs/2108.05000)|[INSPECTRE](https://github.com/HuanyuZhang/INSPECTRE)|\n"}, "2021-08-22": {}, "2021-08-23": {}, "2021-08-24": {"2011.08783": "|[a spiking neural network (snn) for detecting high frequency oscillations (hfos) in the intraoperative ecog](https://arxiv.org/abs/2011.08783)|[SNN_HFO_ECoG](https://github.com/kburel/SNN_HFO_ECoG)|\n", "2108.10213": "|[salience: an unsupervised user adaptation model for multiple wearable sensors based human activity recognition](https://arxiv.org/abs/2108.10213)|[SALIENCE](https://github.com/wdkhuans/SALIENCE)|\n", "2108.10284": "|[exclusive group lasso for structured variable selection](https://arxiv.org/abs/2108.10284)|[exclusive-lasso](https://github.com/gregdvd/exclusive-lasso)|\n", "2012.00089": "|[iterative error decimation for syndrome-based neural network decoders](https://arxiv.org/abs/2012.00089)|[ied](https://github.com/kamassury/ied)|\n", "2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n"}, "2021-08-25": {"2103.14756": "|[equivariant imaging: learning beyond the range space](https://arxiv.org/abs/2103.14756)|[EI](https://github.com/edongdongchen/EI)|\n", "2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n"}, "2021-08-26": {"2007.14900": "|[bayesian context trees: modelling and exact inference for discrete time series](https://arxiv.org/abs/2007.14900)|[Bayesian-Suffix-Trees](https://github.com/IoannisPapageorgiou/Bayesian-Suffix-Trees)|\n"}, "2021-08-27": {}, "2021-08-28": {}, "2021-08-29": {}, "2021-08-30": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n"}, "2021-08-31": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2108.12460": "|[high fidelity deep learning-based mri reconstruction with instance-wise discriminative feature matching loss](https://arxiv.org/abs/2108.12460)|[ufloss](https://github.com/mikgroup/ufloss)|\n", "2012.00089": "|[iterative error decimation for syndrome-based neural network decoders](https://arxiv.org/abs/2012.00089)|[ied](https://github.com/kamassury/ied)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n", "2108.12920": "|[ko codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning](https://arxiv.org/abs/2108.12920)|[kocodes](https://github.com/deepcomm/kocodes)|\n"}, "2021-09-01": {"2011.00619": "|[support recovery for sparse multidimensional phase retrieval](https://arxiv.org/abs/2011.00619)|[multi-dimensional-turnpike](https://github.com/sew347/multi-dimensional-turnpike)|\n", "2103.01551": "|[signal recovery from a few linear measurements of its high-order spectra](https://arxiv.org/abs/2103.01551)|[recovery-high-order-spectra](https://github.com/krshay/recovery-high-order-spectra)|\n", "2104.10314": "|[efficient sparse coding using hierarchical riemannian pursuit](https://arxiv.org/abs/2104.10314)|[HRP](https://github.com/yokoxue/HRP)|\n", "2108.13503": "|[oversampling highly imbalanced indoor positioning data using deep generative models](https://arxiv.org/abs/2108.13503)|[oversampling_ble_fingerprints](https://github.com/alhomayani/oversampling_ble_fingerprints)|\n"}, "2021-09-02": {}, "2021-09-03": {}, "2021-09-04": {}, "2021-09-05": {}, "2021-09-06": {"2107.03344": "|[time encoding of finite-rate-of-innovation signals](https://arxiv.org/abs/2107.03344)|[genfri-tem](https://github.com/kamath-abhijith/genfri-tem)|\n", "2008.09563": "|[achievable rate optimization for mimo systems with reconfigurable intelligent surfaces](https://arxiv.org/abs/2008.09563)|[pgm_code_achievable_rate_optimization](https://gitlab.com/n.s.perovic/pgm_code_achievable_rate_optimization)|\n"}, "2021-09-07": {"2011.02025": "|[quasi monte carlo time-frequency analysis](https://arxiv.org/abs/2011.02025)|[LTFT-Phase-Vocoder](https://github.com/RonLevie/LTFT-Phase-Vocoder)|\n", "2104.12356": "|[a tutorial on generalized eigendecomposition for source separation in multichannel electrophysiology](https://arxiv.org/abs/2104.12356)|[GED_tutorial](https://github.com/mikexcohen/GED_tutorial)|\n", "2006.06332": "|[a variational approach to privacy and fairness](https://arxiv.org/abs/2006.06332)|[VariationalPrivacyFairness](https://github.com/burklight/VariationalPrivacyFairness)|\n", "2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-09-08": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2007.00436": "|[multi-layer bilinear generalized approximate message passing](https://arxiv.org/abs/2007.00436)|[ML-BiGAMP](https://github.com/QiuyunZou/ML-BiGAMP)|\n", "2010.12337": "|[fusion of dual spatial information for hyperspectral image classification](https://arxiv.org/abs/2010.12337)|[Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification](https://github.com/PuhongDuan/Fusion-of-Dual-Spatial-Information-for-Hyperspectral-Image-Classification)|\n"}, "2021-09-09": {"2102.11895": "|[mgait: model-based gait analysis using wearable bend and inertial sensors](https://arxiv.org/abs/2102.11895)|[mgait](https://github.com/sizhean/mgait)|\n", "2102.13604": "|[federated edge learning with misaligned over-the-air computation](https://arxiv.org/abs/2102.13604)|[MisAlignedOAC](https://github.com/lynshao/MisAlignedOAC)|\n"}, "2021-09-10": {"2005.05964": "|[deep completion autoencoders for radio map estimation](https://arxiv.org/abs/2005.05964)|[deep-autoencoders-cartography](https://github.com/yvestegnya2/deep-autoencoders-cartography)|\n", "2102.00927": "|[total least squares phase retrieval](https://arxiv.org/abs/2102.00927)|[tls_phase](https://github.com/swing-research/tls_phase)|\n", "2109.03853": "|[a bayesian framework for information-theoretic probing](https://arxiv.org/abs/2109.03853)|[bayesian-mi](https://github.com/rycolab/bayesian-mi)|\n"}, "2021-09-11": {}, "2021-09-12": {}, "2021-09-13": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n"}, "2021-09-14": {"2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2109.05107": "|[on the feasibility of modeling ofdm communication signals with unsupervised generative adversarial networks](https://arxiv.org/abs/2109.05107)|[ofdm-gan](https://github.com/usnistgov/ofdm-gan)|\n", "2109.05378": "|[modelling the utility of group testing for public health surveillance](https://arxiv.org/abs/2109.05378)|[group-testing](https://github.com/g-pichler/group-testing)|\n", "2109.05978": "|[rwp+: a new random waypoint model for high-speed mobility](https://arxiv.org/abs/2109.05978)|[rwp](https://github.com/ammarhuss/rwp)|\n"}, "2021-09-15": {"2105.12049": "|[honest-but-curious nets: sensitive attributes of private inputs can be secretly coded into the classifiers' outputs](https://arxiv.org/abs/2105.12049)|[honest-but-curious-nets](https://github.com/mmalekzadeh/honest-but-curious-nets)|\n", "2109.06248": "|[distilling ghz states using stabilizer codes](https://arxiv.org/abs/2109.06248)|[ghz_distillation_qec](https://github.com/nrenga/ghz_distillation_qec)|\n"}, "2021-09-16": {"2106.04280": "|[optimizing a binary intelligent reflecting surface for ofdm communications under mutual coupling](https://arxiv.org/abs/2106.04280)|[SP_Cup_2021](https://github.com/emilbjornson/SP_Cup_2021)|\n", "2109.06232": "|[the emergence of the shape bias results from communicative efficiency](https://arxiv.org/abs/2109.06232)|[emergent-shape-bias](https://github.com/evaportelance/emergent-shape-bias)|\n"}, "2021-09-17": {"2102.03353": "|[cross-domain activity recognition via substructural optimal transport](https://arxiv.org/abs/2102.03353)|[transferlearning](https://github.com/jindongwang/transferlearning)|\n", "2108.00506": "|[a scalable federated multi-agent architecture for networked connected communication network](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n"}, "2021-09-18": {}, "2021-09-19": {}, "2021-09-20": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n"}, "2021-09-21": {"2007.11482": "|[multi-reference alignment in high dimensions: sample complexity and phase transition](https://arxiv.org/abs/2007.11482)|[high-dimensional-mra-bounds](https://github.com/TamirBendory/high-dimensional-mra-bounds)|\n", "2109.08945": "|[removing noise from extracellular neural recordings using fully convolutional denoising autoencoders](https://arxiv.org/abs/2109.08945)|[fcdae-neural-signal-denoising](https://github.com/alexdelitzas/fcdae-neural-signal-denoising)|\n", "1808.09037": "|[measuring the volatility of the political agenda in public opinion and news media](https://arxiv.org/abs/1808.09037)|[polvol](https://github.com/euagendas/polvol)|\n", "2109.09204": "|[on the curvatures of gaussian random field manifolds](https://arxiv.org/abs/2109.09204)|[curvature_gmrf](https://github.com/alexandrelevada/curvature_gmrf)|\n"}, "2021-09-22": {}, "2021-09-23": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2101.12190": "|[practical distributed quantum information processing with loccnet](https://arxiv.org/abs/2101.12190)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-09-24": {"2105.13331": "|[quantization and deployment of deep neural networks on microcontrollers](https://arxiv.org/abs/2105.13331)|[microai_public](https://bitbucket.org/edge-team-leat/microai_public)|\n", "2109.11168": "|[unified signal compression using a gan with iterative latent representation optimization](https://arxiv.org/abs/2109.11168)|[bpgan-signal-compression](https://github.com/bowenl0218/bpgan-signal-compression)|\n"}, "2021-09-25": {}, "2021-09-26": {}, "2021-09-27": {"2009.05277": "|[afp-src: identification of antifreeze proteins using sparse representation classifier](https://arxiv.org/abs/2009.05277)|[AFP-SRC](https://github.com/Shujaat123/AFP-SRC)|\n", "2109.11656": "|[sparse multi-reference alignment: sample complexity and computational hardness](https://arxiv.org/abs/2109.11656)|[sparsemra](https://github.com/tamirbendory/sparsemra)|\n", "2109.11813": "|[generalized autocorrelation analysis for multi-target detection](https://arxiv.org/abs/2109.11813)|[mtd-gmm](https://github.com/krshay/mtd-gmm)|\n", "2012.06065": "|[coded sparse matrix computation schemes that leverage partial stragglers](https://arxiv.org/abs/2012.06065)|[LeveragePartialStragglers](https://github.com/anindyabijoydas/LeveragePartialStragglers)|\n", "2101.03888": "|[the value of information and efficient switching in channel selection](https://arxiv.org/abs/2101.03888)|[valueofinformationandefficientswitching](https://github.com/yoninazarathy/valueofinformationandefficientswitching)|\n", "2109.11737": "|[estimating r\\'enyi's $\\alpha$-cross-entropies in a matrix-based way](https://arxiv.org/abs/2109.11737)|[mbrce](https://github.com/isledge/mbrce)|\n"}, "2021-09-28": {"2103.02215": "|[the generalized method of moments for multi-reference alignment](https://arxiv.org/abs/2103.02215)|[gmm-cryo](https://github.com/abasasa/gmm-cryo)|\n", "1910.00471": "|[error thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2006.10189": "|[revisiting minimum description length complexity in overparameterized models](https://arxiv.org/abs/2006.10189)|[mdl-complexity](https://github.com/csinva/mdl-complexity)|\n"}, "2021-09-29": {"2010.16297": "|[robust localization in wireless networks from corrupted signals](https://arxiv.org/abs/2010.16297)|[RobustLocalization](https://github.com/Muhammad-Osama/RobustLocalization)|\n", "2102.02898": "|[cobiveco: consistent biventricular coordinates for precise and intuitive description of position in the heart -- with matlab implementation](https://arxiv.org/abs/2102.02898)|[Cobiveco](https://github.com/KIT-IBT/Cobiveco)|\n"}, "2021-09-30": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n"}, "2021-10-01": {"2007.11482": "|[multi-reference alignment in high dimensions: sample complexity and phase transition](https://arxiv.org/abs/2007.11482)|[high-dimensional-mra-bounds](https://github.com/TamirBendory/high-dimensional-mra-bounds)|\n", "2104.01912": "|[multi-ris-aided wireless systems: statistical characterization and performance analysis](https://arxiv.org/abs/2104.01912)|[Multi-RIS](https://github.com/trinhudo/Multi-RIS)|\n", "2109.15136": "|[transfer learning based multi-objective evolutionary algorithm for community detection of dynamic complex networks](https://arxiv.org/abs/2109.15136)|[TMOGA](https://github.com/zjg540066169/TMOGA)|\n"}, "2021-10-02": {}, "2021-10-03": {}, "2021-10-04": {"2005.06524": "|[deep learning for classifying and characterizing atmospheric ducting within the maritime setting](https://arxiv.org/abs/2005.06524)|[deep-learning-em-ducting](https://github.com/nonlinearfun/deep-learning-em-ducting)|\n", "2010.07394": "|[decomposing non-stationary signals with time-varying wave-shape functions](https://arxiv.org/abs/2010.07394)|[SAMD](https://github.com/macolominas/SAMD)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[ml-opf](https://github.com/tdfalc/ml-opf)|\n"}, "2021-10-05": {"2002.04960": "|[power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces](https://arxiv.org/abs/2002.04960)|[near-field-behavior](https://github.com/emilbjornson/near-field-behavior)|\n", "2110.00654": "|[map-csi: single-site map-assisted localization using massive mimo csi](https://arxiv.org/abs/2110.00654)|[mapcsi](https://github.com/katarinavuckovic/mapcsi)|\n", "2110.00844": "|[a robust alternative for graph convolutional neural networks via graph neighborhood filters](https://arxiv.org/abs/2110.00844)|[neighborhoodgf](https://github.com/vmtenorio/neighborhoodgf)|\n", "2109.09204": "|[on the curvatures of gaussian random field manifolds](https://arxiv.org/abs/2109.09204)|[curvature_gmrf](https://github.com/alexandrelevada/curvature_gmrf)|\n"}, "2021-10-06": {"2110.01655": "|[vtamiq: transformers for attention modulated image quality assessment](https://arxiv.org/abs/2110.01655)|[vtamiq](https://github.com/ch-andrei/vtamiq)|\n", "2110.01722": "|[wireless link scheduling via graph representation learning: a comparative study of different supervision levels](https://arxiv.org/abs/2110.01722)|[LinkSchedulingGNNs_SupervisionStudy](https://github.com/navid-naderi/LinkSchedulingGNNs_SupervisionStudy)|\n"}, "2021-10-07": {"2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2110.02538": "|[a local updating algorithm for personalized pagerank via chebyshev polynomials](https://arxiv.org/abs/2110.02538)|[pagerank_updating_chebyshev_paper](https://github.com/estbautista/pagerank_updating_chebyshev_paper)|\n", "2110.02915": "|[unrolling particles: unsupervised learning of sampling distributions](https://arxiv.org/abs/2110.02915)|[unrolling-particles](https://github.com/fgfgama/unrolling-particles)|\n", "2101.04348": "|[phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork](https://arxiv.org/abs/2101.04348)|[gec-sr-pr-hypernets](https://github.com/wangchangjen/gec-sr-pr-hypernets)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2021-10-08": {"2110.03435": "|[light-sernet: a lightweight fully convolutional neural network for speech emotion recognition](https://arxiv.org/abs/2110.03435)|[light-sernet](https://github.com/aryaaftab/light-sernet)|\n", "2110.03448": "|[multi-head relu implicit neural representation networks](https://arxiv.org/abs/2110.03448)|[mh-relu-inr](https://github.com/alirezamorsali/mh-relu-inr)|\n", "2110.03666": "|[joint inference of multiple graphs with hidden variables from stationary graph signals](https://arxiv.org/abs/2110.03666)|[hidden_joint_inference](https://github.com/reysam93/hidden_joint_inference)|\n"}, "2021-10-09": {}, "2021-10-10": {}, "2021-10-11": {"2110.03691": "|[direct design of biquad filter cascades with deep learning by sampling random polynomials](https://arxiv.org/abs/2110.03691)|[iirnet](https://github.com/csteinmetz1/iirnet)|\n", "2110.04124": "|[ensemble neural representation networks](https://arxiv.org/abs/2110.04124)|[enrp](https://github.com/alirezamorsali/enrp)|\n", "2110.04239": "|[operanet: a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors](https://arxiv.org/abs/2110.04239)|[oddet](https://github.com/rogetk/oddet)|\n", "2009.10525": "|[randomized continuous frames in time-frequency analysis](https://arxiv.org/abs/2009.10525)|[LTFT-Phase-Vocoder](https://github.com/RonLevie/LTFT-Phase-Vocoder)|\n"}, "2021-10-12": {"2002.12898": "|[pm2.5-gnn: a domain knowledge enhanced graph neural network for pm2.5 forecasting](https://arxiv.org/abs/2002.12898)|[PM2.5-GNN](https://github.com/shawnwang-tech/PM2.5-GNN)|\n", "2006.05459": "|[privacy for free: wireless federated learning via uncoded transmission with adaptive power control](https://arxiv.org/abs/2006.05459)|[Privacy4Free_DPWFL](https://github.com/kclip/Privacy4Free_DPWFL)|\n", "2110.04456": "|[deep joint source-channel coding for wireless image transmission with adaptive rate control](https://arxiv.org/abs/2110.04456)|[dynamic_jscc](https://github.com/mingyuyng/dynamic_jscc)|\n", "2110.04653": "|[topological data analysis (tda) techniques enhance hand pose classification from ecog neural recordings](https://arxiv.org/abs/2110.04653)|[ecog_vbh_2021](https://github.com/machinelearningjournalclub/ecog_vbh_2021)|\n", "2110.04717": "|[rtsnet: deep learning aided kalman smoothing](https://arxiv.org/abs/2110.04717)|[rtsnet_icassp22](https://github.com/kalmannet/rtsnet_icassp22)|\n", "2110.04738": "|[uncertainty in data-driven kalman filtering for partially known state-space models](https://arxiv.org/abs/2110.04738)|[errcov_icassp22](https://github.com/kalmannet/errcov_icassp22)|\n", "2110.04810": "|[application of graph convolutions in a lightweight model for skeletal human motion forecasting](https://arxiv.org/abs/2110.04810)|[lightweight-motion-forecasting](https://github.com/LucaHermes/lightweight-motion-forecasting)|\n", "2110.05266": "|[chaos as an interpretable benchmark for forecasting and data-driven modelling](https://arxiv.org/abs/2110.05266)|[dysts](https://github.com/williamgilpin/dysts)|\n", "2007.14110": "|[wavefuse: a unified deep framework for image fusion with discrete wavelet transform](https://arxiv.org/abs/2007.14110)|[WaveFuse_code](https://github.com/slliuEric/WaveFuse_code)|\n", "2109.15136": "|[transfer learning based multi-objective genetic algorithm for dynamic community detection](https://arxiv.org/abs/2109.15136)|[TMOGA](https://github.com/zjg540066169/TMOGA)|\n"}, "2021-10-13": {"2009.12919": "|[benchmarking deep inverse models over time, and the neural-adjoint method](https://arxiv.org/abs/2009.12919)|[BDIMNNA](https://github.com/BensonRen/BDIMNNA)|\n", "2102.02196": "|[on entropy and bit patterns of ring oscillator jitter](https://arxiv.org/abs/2102.02196)|[bitpat](https://github.com/mjosaarinen/bitpat)|\n", "2110.05528": "|[smoothed separable nonnegative matrix factorization](https://arxiv.org/abs/2110.05528)|[smoothed-separable-nmf](https://gitlab.com/nnadisic/smoothed-separable-nmf)|\n", "2110.05588": "|[deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering](https://arxiv.org/abs/2110.05588)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n", "2110.05606": "|[nearest subspace search in the signed cumulative distribution transform space for 1d signal classification](https://arxiv.org/abs/2110.05606)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n", "2110.06139": "|[classification of anomalous gait using machine learning techniques and embedded sensors](https://arxiv.org/abs/2110.06139)|[HumanGait](https://github.com/rTiagoS/HumanGait)|\n", "2110.05587": "|[evaluation of latent space disentanglement in the presence of interdependent attributes](https://arxiv.org/abs/2110.05587)|[dependency-aware-mi-metrics](https://github.com/karnwatcharasupat/dependency-aware-mi-metrics)|\n", "2110.05649": "|[learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection](https://arxiv.org/abs/2110.05649)|[lrpca](https://github.com/caesarcai/lrpca)|\n", "2110.05794": "|[information theoretic structured generative modeling](https://arxiv.org/abs/2110.05794)|[structured-generative-modeling](https://github.com/bohu615/structured-generative-modeling)|\n"}, "2021-10-14": {"2104.07388": "|[conditional independence for pretext task selection in self-supervised speech representation learning](https://arxiv.org/abs/2104.07388)|[Pseudo-Label-Selection](https://github.com/salah-zaiem/Pseudo-Label-Selection)|\n", "2110.06440": "|[sdr -- medium rare with fast computations](https://arxiv.org/abs/2110.06440)|[fast_bss_eval](https://github.com/fakufaku/fast_bss_eval)|\n", "2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2110.06838": "|[full-stack comparison of channel models for networks above 100 ghz in an indoor scenario](https://arxiv.org/abs/2110.06838)|[thz-mmnets-2021](https://github.com/signetlabdei/thz-mmnets-2021)|\n"}, "2021-10-15": {"2105.13667": "|[grouped variable selection for generalized eigenvalue problems](https://arxiv.org/abs/2105.13667)|[benchmarkStudySensorSelection](https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection)|\n", "2110.07308": "|[node-screening tests for l0-penalized least-squares problem with supplementary material](https://arxiv.org/abs/2110.07308)|[bnb-screening](https://gitlab.insa-rennes.fr/Theo.Guyard/bnb-screening)|\n", "2110.07471": "|[stability analysis of unfolded wmmse for power allocation](https://arxiv.org/abs/2110.07471)|[stability-uwmmse](https://github.com/archo48/stability-uwmmse)|\n", "2110.07570": "|[smgc: a complex-valued graph convolutional network via magnetic laplacian for directed graphs](https://arxiv.org/abs/2110.07570)|[MGCs](https://github.com/hazdzz/MGCs)|\n", "2009.07204": "|[new instances of quadratic apn functions](https://arxiv.org/abs/2009.07204)|[quadratic_apn](https://github.com/cbe90/quadratic_apn)|\n", "2012.04524": "|[construction of optimal spectral methods in phase retrieval](https://arxiv.org/abs/2012.04524)|[Optimal_Spectral_Methods_PR](https://github.com/AnMaillard/Optimal_Spectral_Methods_PR)|\n", "2103.11037": "|[mode-wise tensor decompositions: multi-dimensional generalizations of cur decompositions](https://arxiv.org/abs/2103.11037)|[Modewise_Tensor_Decomp](https://github.com/caesarcai/Modewise_Tensor_Decomp)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n"}, "2021-10-16": {}, "2021-10-17": {}, "2021-10-18": {"2108.10335": "|[edge-sr: super-resolution for the masses](https://arxiv.org/abs/2108.10335)|[esr](https://github.com/pnavarre/esr)|\n"}, "2021-10-19": {"1903.02184": "|[learning how to demodulate from few pilots via meta-learning](https://arxiv.org/abs/1903.02184)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2110.09005": "|[unsupervised learned kalman filtering](https://arxiv.org/abs/2110.09005)|[Unsupervised_ICASSP22](https://github.com/KalmanNet/Unsupervised_ICASSP22)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2021-10-20": {"2102.04170": "|[learning task-oriented communication for edge inference: an information bottleneck approach](https://arxiv.org/abs/2102.04170)|[VL-VFE](https://github.com/shaojiawei07/VL-VFE)|\n", "2107.04174": "|[easycom: an augmented reality dataset to support algorithms for easy communication in noisy environments](https://arxiv.org/abs/2107.04174)|[EasyComDataset](https://github.com/facebookresearch/EasyComDataset)|\n", "2110.09541": "|[wideband and entropy-aware deep soft bit quantization](https://arxiv.org/abs/2110.09541)|[wideband-llr-deep](https://github.com/utcsilab/wideband-llr-deep)|\n", "2110.09807": "|[learning to learn graph topologies](https://arxiv.org/abs/2110.09807)|[l2g-neurips2021](https://github.com/xpuoxford/l2g-neurips2021)|\n", "2110.09626": "|[a cautionary tale on fitting decision trees to data from additive models: generalization lower bounds](https://arxiv.org/abs/2110.09626)|[additive_trees](https://github.com/aagarwal1996/additive_trees)|\n"}, "2021-10-21": {}, "2021-10-22": {"1908.09049": "|[learning to demodulate from few pilots via offline and online meta-learning](https://arxiv.org/abs/1908.09049)|[meta-demodulator](https://github.com/kclip/meta-demodulator)|\n", "1910.09945": "|[meta-learning to communicate: fast end-to-end training for fading channels](https://arxiv.org/abs/1910.09945)|[meta-autoencoder](https://github.com/kclip/meta-autoencoder)|\n", "2003.01479": "|[end-to-end fast training of communication links without a channel model via online meta-learning](https://arxiv.org/abs/2003.01479)|[meta-autoencoder-without-channel-model](https://github.com/kclip/meta-autoencoder-without-channel-model)|\n", "2105.04040": "|[truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling](https://arxiv.org/abs/2105.04040)|[truly_shift_invariant_cnns](https://github.com/achaman2/truly_shift_invariant_cnns)|\n", "2110.10812": "|[real-m: towards speech separation on real mixtures](https://arxiv.org/abs/2110.10812)|[sisnr-estimation](https://github.com/speechbrain/speechbrain/tree/develop/recipes/REAL-M/sisnr-estimation)|\n", "2001.01227": "|[from learning to meta-learning: reduced training overhead and complexity for communication systems](https://arxiv.org/abs/2001.01227)|[meta-autoencoder](https://github.com/kclip/meta-autoencoder)|\n", "2102.02541": "|[on fading channel dependency structures with a positive zero-outage capacity](https://arxiv.org/abs/2102.02541)|[zero-outage-joint-distributions](https://gitlab.com/klb2/zero-outage-joint-distributions)|\n"}, "2021-10-23": {}, "2021-10-24": {}, "2021-10-25": {}, "2021-10-26": {"2106.10543": "|[signal processing based deep learning for blind symbol decoding and modulation classification](https://arxiv.org/abs/2106.10543)|[dual_path_network](https://github.com/uclacores/dual_path_network)|\n", "2110.12387": "|[task-based graph signal compression](https://arxiv.org/abs/2110.12387)|[graph_signal_compression](https://github.com/pei65536/graph_signal_compression)|\n", "2102.05015": "|[optimal sic ordering and power allocation in downlink multi-cell noma systems](https://arxiv.org/abs/2102.05015)|[Optimal-JSPA-MultiCell-NOMA](https://gitlab.com/sepehrrezvani/Optimal-JSPA-MultiCell-NOMA)|\n", "2104.11054": "|[teramimo: a channel simulator for wideband ultra-massive mimo terahertz communications](https://arxiv.org/abs/2104.11054)|[TeraMIMO](https://github.com/hasarieddeen/TeraMIMO)|\n"}, "2021-10-27": {"2106.03668": "|[recovery analysis for plug-and-play priors using the restricted eigenvalue condition](https://arxiv.org/abs/2106.03668)|[pnp-recovery](https://github.com/wustl-cig/pnp-recovery)|\n", "2106.16048": "|[resilient uav swarm communications with graph convolutional neural network](https://arxiv.org/abs/2106.16048)|[resilient-swarm-communications-with-meta-graph-convolutional-networks](https://github.com/nobodymx/resilient-swarm-communications-with-meta-graph-convolutional-networks)|\n", "2006.07225": "|[neural estimators for conditional mutual information using nearest neighbors sampling](https://arxiv.org/abs/2006.07225)|[CMI_Neural_Estimator](https://github.com/smolavipour/CMI_Neural_Estimator)|\n", "2009.08228": "|[leadcache: regret-optimal caching in networks](https://arxiv.org/abs/2009.08228)|[leadcache-neurips21](https://github.com/abhishekmitiitm/leadcache-neurips21)|\n"}, "2021-10-28": {"2106.04443": "|[robust generalization despite distribution shift via minimum discriminating information](https://arxiv.org/abs/2106.04443)|[pmdi_dro](https://github.com/tobsutter/pmdi_dro)|\n", "2110.14628": "|[(almost) free incentivized exploration from decentralized learning agents](https://arxiv.org/abs/2110.14628)|[observe_then_incentivize](https://github.com/shengroup/observe_then_incentivize)|\n"}, "2021-10-29": {"2102.13284": "|[nch sleep databank: a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "1910.00471": "|[error thresholds for arbitrary pauli noise](https://arxiv.org/abs/1910.00471)|[graph-states-coherent-info](https://github.com/felixled/graph-states-coherent-info)|\n", "2109.05378": "|[modelling the utility of group testing for public health surveillance](https://arxiv.org/abs/2109.05378)|[group-testing](https://github.com/g-pichler/group-testing)|\n"}, "2021-10-30": {}, "2021-10-31": {}, "2021-11-01": {"2102.10172": "|[channel estimation and data detection analysis of massive mimo with 1-bit adcs](https://arxiv.org/abs/2102.10172)|[ch_est_data_det_1-bit](https://github.com/italo-atzeni/ch_est_data_det_1-bit)|\n", "2108.10226": "|[ecg-based heart arrhythmia diagnosis through attentional convolutional neural networks](https://arxiv.org/abs/2108.10226)|[heart-arrhythmia-diagnosis-with-deep-learning](https://github.com/ziyuliu-lion/heart-arrhythmia-diagnosis-with-deep-learning)|\n"}, "2021-11-02": {"2009.11536": "|[complex convolutional neural networks for ultrafast ultrasound image reconstruction from in-phase/quadrature signal](https://arxiv.org/abs/2009.11536)|[cid-net](https://github.com/jingfeng-lu/cid-net)|\n", "2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2111.00704": "|[a novel 1d state space for efficient music rhythmic analysis](https://arxiv.org/abs/2111.00704)|[1d-statespace](https://github.com/mjhydri/1d-statespace)|\n", "2106.03783": "|[an information-theoretic approach to distribution shifts](https://arxiv.org/abs/2106.03783)|[dsit](https://github.com/mfederici/dsit)|\n", "2110.14622": "|[heterogeneous multi-player multi-armed bandits: closing the gap and generalization](https://arxiv.org/abs/2110.14622)|[mpmab_beacon](https://github.com/shengroup/mpmab_beacon)|\n", "2111.00056": "|[generalized data weighting via class-level gradient manipulation](https://arxiv.org/abs/2111.00056)|[gdw-nips2021](https://github.com/ggchen1997/gdw-nips2021)|\n"}, "2021-11-03": {"2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n"}, "2021-11-04": {"2101.03792": "|[diagnosis of intelligent reflecting surface in millimeter-wave communication systems](https://arxiv.org/abs/2101.03792)|[IRSdiagnosis](https://github.com/DestinationSR/IRSdiagnosis)|\n"}, "2021-11-05": {"2111.02561": "|[maus: a dataset for mental workload assessmenton n-back task using wearable sensor](https://arxiv.org/abs/2111.02561)|[MAUS_dataset_baseline_system](https://github.com/rickwu11/MAUS_dataset_baseline_system)|\n", "2105.03925": "|[on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations](https://arxiv.org/abs/2105.03925)|[information-density](https://gitlab.com/infth/information-density)|\n", "2107.01952": "|[partition and code: learning how to compress graphs](https://arxiv.org/abs/2107.01952)|[PnC](https://github.com/gbouritsas/PnC)|\n"}, "2021-11-06": {}, "2021-11-08": {"2010.11347": "|[correlation-aware cooperative multigroup broadcast 360{\\deg} video delivery network: a hierarchical deep reinforcement learning approach](https://arxiv.org/abs/2010.11347)|[Hierarchical-Multi-agent-DRL-with-Federated-Learning](https://github.com/paperflight/Hierarchical-Multi-agent-DRL-with-Federated-Learning)|\n", "2106.13358": "|[scalable perception-action-communication loops with convolutional and graph neural networks](https://arxiv.org/abs/2106.13358)|[VGAI](https://github.com/VITA-Group/VGAI)|\n", "2108.00506": "|[scalable multi-agent reinforcement learning algorithm for wireless networks](https://arxiv.org/abs/2108.00506)|[Fed-MF-MAL](https://github.com/paperflight/Fed-MF-MAL)|\n", "2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.03504": "|[deep-learning based linear precoding for mimo channels with finite-alphabet signaling](https://arxiv.org/abs/2111.03504)|[optimalprecodingmimo](https://github.com/girnyk/optimalprecodingmimo)|\n"}, "2021-11-07": {}, "2021-11-10": {"2102.02993": "|[lord-net: unfolded deep detection network with low-resolution receivers](https://arxiv.org/abs/2102.02993)|[LoRD-Net](https://github.com/skhobahi/LoRD-Net)|\n", "2103.03817": "|[proactive and aoi-aware failure recovery for stateful nfv-enabled zero-touch 6g networks: model-free drl approach](https://arxiv.org/abs/2103.03817)|[ZT-PFR](https://github.com/wildsky95/ZT-PFR)|\n", "2106.10711": "|[transfer bayesian meta-learning via weighted free energy minimization](https://arxiv.org/abs/2106.10711)|[meta_learning_pacoh](https://github.com/jonasrothfuss/meta_learning_pacoh)|\n", "2111.03201": "|[compressing sensor data for remote assistance of autonomous vehicles using deep generative models](https://arxiv.org/abs/2111.03201)|[deep_generative_models](https://github.com/daniel-bogdoll/deep_generative_models)|\n", "2101.04348": "|[phase retrieval using expectation consistent signal recovery algorithm based on hypernetwork](https://arxiv.org/abs/2101.04348)|[gec-sr-pr-hypernets](https://github.com/wangchangjen/gec-sr-pr-hypernets)|\n", "2111.05299": "|[can information flows suggest targets for interventions in neural circuits?](https://arxiv.org/abs/2111.05299)|[ann-info-flow](https://github.com/praveenv253/ann-info-flow)|\n"}, "2021-11-09": {"2008.05948": "|[estimating the magnitude and phase of automotive radar signals under multiple interference sources with fully convolutional networks](https://arxiv.org/abs/2008.05948)|[arim-v2](https://github.com/ristea/arim-v2)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n", "2111.04566": "|[rf-net: a unified meta-learning framework for rf-enabled one-shot human activity recognition](https://arxiv.org/abs/2111.04566)|[rfnet](https://github.com/di0002ya/rfnet)|\n", "2111.04593": "|[frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n", "2104.08685": "|[linguistic dependencies and statistical dependence](https://arxiv.org/abs/2104.08685)|[cpmi-dependencies](https://github.com/mcqll/cpmi-dependencies)|\n", "2111.03699": "|[a space of goals: the cognitive geometry of informationally bounded agents](https://arxiv.org/abs/2111.03699)|[cognitive-geometry](https://gitlab.com/uh-adapsys/cognitive-geometry)|\n", "2111.03905": "|[geodesic curves in gaussian random field manifolds](https://arxiv.org/abs/2111.03905)|[rk4_geodesic_gmrf](https://github.com/alexandrelevada/rk4_geodesic_gmrf)|\n"}, "2021-11-11": {"2111.05100": "|[eegeyenet: a simultaneous electroencephalography and eye-tracking dataset and benchmark for eye movement prediction](https://arxiv.org/abs/2111.05100)|[eegeyenet](https://github.com/ardkastrati/eegeyenet)|\n", "2111.05496": "|[resnests and densenests: block-based dnn models with improved representation guarantees](https://arxiv.org/abs/2111.05496)|[resnest](https://github.com/kjason/resnest)|\n", "2106.11723": "|[neural distributed image compression using common information](https://arxiv.org/abs/2106.11723)|[NDIC](https://github.com/ipc-lab/NDIC)|\n"}, "2021-11-12": {"2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-11-13": {}, "2021-11-14": {}, "2021-11-15": {"2111.06671": "|[hlt-nus submission for 2020 nist conversational telephone speech sre](https://arxiv.org/abs/2111.06671)|[ecapatdnn](https://github.com/taoruijie/ecapatdnn)|\n"}, "2021-11-16": {"2001.11419": "|[grassmannian optimization for online tensor completion and tracking with the t-svd](https://arxiv.org/abs/2001.11419)|[TOUCAN](https://github.com/kgilman/TOUCAN)|\n", "2102.10666": "|[electromagnetic model of reflective intelligent surfaces](https://arxiv.org/abs/2102.10666)|[Intelligent-Surfaces](https://github.com/MicheleBorgese/Intelligent-Surfaces)|\n", "2107.06678": "|[optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2111.07017": "|[delay-oriented distributed scheduling using graph neural networks](https://arxiv.org/abs/2111.07017)|[gcn-dql](https://github.com/zhongyuanzhao/gcn-dql)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.07480": "|[power allocation for wireless federated learning using graph neural networks](https://arxiv.org/abs/2111.07480)|[wirelessfl-pdgnet](https://github.com/bl166/wirelessfl-pdgnet)|\n", "1804.00486": "|[benefit of joint doa and delay estimation with application to indoor localization in wifi and 5g](https://arxiv.org/abs/1804.00486)|[jade](https://github.com/fwen/jade)|\n", "2012.05549": "|[categorical perception: a groundwork for deep learning](https://arxiv.org/abs/2012.05549)|[categorical_perception_ann_neco](https://github.com/l-bg/categorical_perception_ann_neco)|\n", "2111.06999": "|[quasifibrations of graphs to find symmetries in biological networks](https://arxiv.org/abs/2111.06999)|[qf](https://github.com/boldip/qf)|\n"}, "2021-11-17": {"2102.10172": "|[channel estimation and data detection analysis of massive mimo with 1-bit adcs](https://arxiv.org/abs/2102.10172)|[ch_est_data_det_1-bit](https://github.com/italo-atzeni/ch_est_data_det_1-bit)|\n", "2104.06706": "|[towards off-the-grid algorithms for total variation regularized inverse problems](https://arxiv.org/abs/2104.06706)|[tvsfw](https://github.com/rpetit/tvsfw)|\n", "2110.03666": "|[joint inference of multiple graphs with hidden variables from stationary graph signals](https://arxiv.org/abs/2110.03666)|[hidden_joint_inference](https://github.com/reysam93/hidden_joint_inference)|\n", "2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[r-local-unlabeled-sensing](https://github.com/aabbas02/r-local-unlabeled-sensing)|\n", "2111.08177": "|[deep diffusion models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n"}, "2021-11-18": {"2104.14579": "|[lidar and position-aided mmwave beam selection with non-local cnns and curriculum training](https://arxiv.org/abs/2104.14579)|[LIDAR-mmWave-Beam-Selection](https://github.com/MatteoEURECOM/LIDAR-mmWave-Beam-Selection)|\n", "2106.10307": "|[deep learning based mac via joint channel access and rate adaptation](https://arxiv.org/abs/2106.10307)|[Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset](https://github.com/postman511/Wireless-Signal-Strength-on-2.4GHz-WSS24-dataset)|\n"}, "2021-11-19": {"2105.03061": "|[deep reinforcement learning-designed radiofrequency waveform in mri](https://arxiv.org/abs/2105.03061)|[deeprf](https://github.com/snu-list/deeprf)|\n", "2107.01849": "|[integrating expert knowledge with domain adaptation for unsupervised fault diagnosis](https://arxiv.org/abs/2107.01849)|[syn2real](https://github.com/qinenergy/syn2real)|\n"}, "2021-11-20": {}, "2021-11-21": {}, "2021-11-22": {"2102.12718": "|[a simulation-based end-to-end learning framework for evidential occupancy grid mapping](https://arxiv.org/abs/2102.12718)|[EviLOG](https://github.com/ika-rwth-aachen/EviLOG)|\n", "2111.10087": "|[beamforming using digital piezoelectric mems microphone array](https://arxiv.org/abs/2111.10087)|[vm3000-microphones](https://github.com/uwasystemhealth/vm3000-microphones)|\n", "2103.02700": "|[decoding supercodes of gabidulin codes and applications to cryptanalysis](https://arxiv.org/abs/2103.02700)|[Attack_on_LIGA](https://github.com/mbombar/Attack_on_LIGA)|\n", "2111.08843": "|[error coefficient-reduced polar/pac codes](https://arxiv.org/abs/2111.08843)|[Error-Coefficient-reduced-Polar-PAC-Codes](https://github.com/mohammad-rowshan/Error-Coefficient-reduced-Polar-PAC-Codes)|\n"}, "2021-11-23": {"1912.12528": "|[applications of unsupervised deep transfer learning to intelligent fault diagnosis: a survey and comparative study](https://arxiv.org/abs/1912.12528)|[UDTL](https://github.com/ZhaoZhibin/UDTL)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.10596": "|[semi-supervised impedance inversion by bayesian neural network based on 2-d cnn pre-training](https://arxiv.org/abs/2111.10596)|[bayesian-semi-supervised-impedance-inversion](https://github.com/tom-900/bayesian-semi-supervised-impedance-inversion)|\n", "2005.08797": "|[variational quantum gibbs state preparation with a truncated taylor series](https://arxiv.org/abs/2005.08797)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-11-24": {"2104.14526": "|[scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements](https://arxiv.org/abs/2104.14526)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2111.01692": "|[efficient hierarchical bayesian inference for spatio-temporal regression models in neuroimaging](https://arxiv.org/abs/2111.01692)|[dugh-neurips-2021](https://github.com/alihashemi-ai/dugh-neurips-2021)|\n", "2111.11482": "|[graph neural networks with parallel neighborhood aggregations for graph classification](https://arxiv.org/abs/2111.11482)|[spin](https://github.com/siddhant-doshi/spin)|\n"}, "2021-11-25": {"2105.09429": "|[point process simulation of generalised inverse gaussian processes and estimation of the jaeger integral](https://arxiv.org/abs/2105.09429)|[GiG](https://github.com/yamankindap/GiG)|\n", "2111.12148": "|[machine learning based forward solver: an automatic framework in gprmax](https://arxiv.org/abs/2111.12148)|[gprMax](https://github.com/utsav-akhaury/gprMax)|\n", "2111.12429": "|[tsflex: flexible time series processing & feature extraction](https://arxiv.org/abs/2111.12429)|[tsflex](https://github.com/predict-idlab/tsflex)|\n", "2111.12604": "|[state-space deep gaussian processes with applications](https://arxiv.org/abs/2111.12604)|[dissertation](https://github.com/zgbkdlm/dissertation)|\n", "2102.09159": "|[robust and differentially private mean estimation](https://arxiv.org/abs/2102.09159)|[robust_dp](https://github.com/xiyangl3/robust_dp)|\n"}, "2021-11-26": {}, "2021-11-27": {}, "2021-11-28": {}, "2021-11-29": {"1907.10709": "|[automatic crack classification by exploiting statistical event descriptors for deep learning](https://arxiv.org/abs/1907.10709)|[deeplearning_crack_classification](https://github.com/giuliosiracusano/deeplearning_crack_classification)|\n", "2111.12925": "|[contourletnet: a generalized rain removal architecture using multi-direction hierarchical representation](https://arxiv.org/abs/2111.12925)|[contourletnet-bmvc2021](https://github.com/cctakaet/contourletnet-bmvc2021)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n"}, "2021-11-30": {"1901.07915": "|[iclabel: an automated electroencephalographic independent component classifier, dataset, and website](https://arxiv.org/abs/1901.07915)|[ICLabel-Train](https://github.com/lucapton/ICLabel-Train)|\n", "2104.13069": "|[visualization of linear operations in the spherical harmonics domain](https://arxiv.org/abs/2104.13069)|[visualization-of-sh-domain-operations](https://github.com/iksrwth/visualization-of-sh-domain-operations)|\n", "2107.14367": "|[opensync: an opensource platform for synchronizing multiple measures in neuroscience experiments](https://arxiv.org/abs/2107.14367)|[OpenSync_Unity](https://github.com/moeinrazavi/OpenSync_Unity)|\n", "2111.13984": "|[ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning](https://arxiv.org/abs/2111.13984)|[ncvx](https://github.com/sun-umn/ncvx)|\n", "2105.04453": "|[neural computation of capacity region of memoryless multiple access channels](https://arxiv.org/abs/2105.04453)|[Neural-Capacity-Computation](https://github.com/Farhad-Mrkm/Neural-Capacity-Computation)|\n", "2105.10446": "|[redunet: a white-box deep network from the principle of maximizing rate reduction](https://arxiv.org/abs/2105.10446)|[ReduNet](https://github.com/Ma-Lab-Berkeley/ReduNet)|\n"}, "2021-12-01": {"2111.14960": "|[validating circacp: a generic sleep-wake cycle detection algorithm](https://arxiv.org/abs/2111.14960)|[circacp](https://github.com/shanshanchen-biostat/circacp)|\n", "2111.15378": "|[clustering-based activity detection algorithms for grant-free random access in cell-free massive mimo](https://arxiv.org/abs/2111.15378)|[grant-free](https://github.com/emilbjornson/grant-free)|\n", "2111.15569": "|[scalable machine learning architecture for neonatal seizure detection on ultra-edge devices](https://arxiv.org/abs/2111.15569)|[NeonatalSeizureDetection](https://github.com/vishaln15/NeonatalSeizureDetection)|\n", "1809.00964": "|[mathematical models for fake news](https://arxiv.org/abs/1809.00964)|[Fake_News](https://github.com/dmmeier/Fake_News)|\n"}, "2021-12-02": {"1906.04529": "|[localized fourier analysis for graph signal processing](https://arxiv.org/abs/1906.04529)|[loclets](https://bitbucket.org/batistbucket/loclets)|\n", "2101.03468": "|[heppcat: probabilistic pca for data with heteroscedastic noise](https://arxiv.org/abs/2101.03468)|[heteroscedastic-probabilistic-pca](https://gitlab.com/heppcat-group/heteroscedastic-probabilistic-pca)|\n", "2111.15662": "|[hottbox: higher order tensor toolbox](https://arxiv.org/abs/2111.15662)|[hottbox](https://github.com/hottbox/hottbox)|\n", "2112.00695": "|[deepaoanet: learning angle of arrival from software defined radios with deep neural networks](https://arxiv.org/abs/2112.00695)|[deepaoanet](https://github.com/zdai257/deepaoanet)|\n"}, "2021-12-03": {"2105.11689": "|[self-supervised graph representation learning via topology transformations](https://arxiv.org/abs/2105.11689)|[topo-ter](https://github.com/gyshgx868/topo-ter)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n"}, "2021-12-04": {}, "2021-12-05": {}, "2021-12-06": {"2012.05646": "|[irs-aided swipt: joint waveform, active and passive beamforming design under nonlinear harvester model](https://arxiv.org/abs/2012.05646)|[irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model](https://github.com/snowztail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-model)|\n", "2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2112.01857": "|[disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application](https://arxiv.org/abs/2112.01857)|[synchrosqueezed-chirplet-transforms](https://github.com/ziyuchen7/synchrosqueezed-chirplet-transforms)|\n"}, "2021-12-07": {"1905.11678": "|[eeg-based emotional video classification via learning connectivity structure](https://arxiv.org/abs/1905.11678)|[bsc_lcs](https://github.com/ELEMKEP/bsc_lcs)|\n", "2105.00349": "|[estimating the electrical power output of industrial devices with end-to-end time-series classification in the presence of label noise](https://arxiv.org/abs/2105.00349)|[SREA](https://github.com/Castel44/SREA)|\n", "2106.10108": "|[under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2112.02382": "|[my(o) armband leaks passwords: an emg and imu based keylogging side-channel attack](https://arxiv.org/abs/2112.02382)|[myo-keylogging](https://github.com/seemoo-lab/myo-keylogging)|\n", "2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n", "2108.01368": "|[robust compressed sensing mri with deep generative priors](https://arxiv.org/abs/2108.01368)|[csgm-mri-langevin](https://github.com/utcsilab/csgm-mri-langevin)|\n", "2109.12909": "|[compressive visual representations](https://arxiv.org/abs/2109.12909)|[compressive-visual-representations](https://github.com/google-research/compressive-visual-representations)|\n"}, "2021-12-08": {"2001.05965": "|[the elliptical ornstein-uhlenbeck process](https://arxiv.org/abs/2001.05965)|[ellipticalou](https://github.com/adamsykulski/ellipticalou)|\n", "2105.04040": "|[truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling](https://arxiv.org/abs/2105.04040)|[truly_shift_invariant_cnns](https://github.com/achaman2/truly_shift_invariant_cnns)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n"}, "2021-12-09": {"2110.06661": "|[a primer on near-field beamforming for arrays and reconfigurable intelligent surfaces](https://arxiv.org/abs/2110.06661)|[nearfield-primer](https://github.com/emilbjornson/nearfield-primer)|\n", "2112.04176": "|[mobile bci dataset of scalp- and ear-eegs with erp and ssvep paradigms while standing, walking, and running](https://arxiv.org/abs/2112.04176)|[mobilebci_data](https://github.com/youngeun1209/mobilebci_data)|\n", "2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity exercise](https://arxiv.org/abs/2112.04369)|[adaptive_rpeak_det_public](https://c4science.ch/source/adaptive_rpeak_det_public)|\n", "2105.02083": "|[adaboost and robust one-bit compressed sensing](https://arxiv.org/abs/2105.02083)|[adaboost-and-robust-one-bit-compressed-sensing](https://github.com/felix-127/adaboost-and-robust-one-bit-compressed-sensing)|\n"}, "2021-12-10": {"2103.02313": "|[open community platform for hearing aid algorithm research: open master hearing aid (openmha)](https://arxiv.org/abs/2103.02313)|[openMHA](https://github.com/HoerTech-gGmbH/openMHA)|\n", "2104.05463": "|[scalable power control/beamforming in heterogeneous wireless networks with graph neural networks](https://arxiv.org/abs/2104.05463)|[hignn](https://github.com/zhangxiaochen95/hignn)|\n", "2108.11345": "|[a unifying theory of thompson sampling for continuous risk-averse bandits](https://arxiv.org/abs/2108.11345)|[continuous-rho-ts](https://github.com/joel-ql-chang/continuous-rho-ts)|\n"}, "2021-12-11": {}, "2021-12-12": {}, "2021-12-13": {"2109.08945": "|[removing noise from extracellular neural recordings using fully convolutional denoising autoencoders](https://arxiv.org/abs/2109.08945)|[fcdae-neural-signal-denoising](https://github.com/alexdelitzas/fcdae-neural-signal-denoising)|\n", "2112.00695": "|[deepaoanet: learning angle of arrival from software defined radios with deep neural networks](https://arxiv.org/abs/2112.00695)|[deepaoanet](https://github.com/zdai257/deepaoanet)|\n", "2112.05303": "|[surrogate-based cross-correlation for particle image velocimetry](https://arxiv.org/abs/2112.05303)|[sbcc](https://github.com/yongleex/sbcc)|\n"}, "2021-12-14": {"2004.01571": "|[tree-amp: compositional inference with tree approximate message passing](https://arxiv.org/abs/2004.01571)|[tramp](https://github.com/sphinxteam/tramp)|\n", "2108.08470": "|[chmusic: a traditional chinese music dataset for evaluation of instrument recognition](https://arxiv.org/abs/2108.08470)|[chmusic](https://github.com/haoranweiutd/chmusic)|\n", "2109.12856": "|[multi-static uwb radar-based passive human tracking using cots devices](https://arxiv.org/abs/2109.12856)|[uwb-radar-pedestrian-tracking](https://github.com/clongli/uwb-radar-pedestrian-tracking)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2021-12-15": {"2112.06074": "|[early stopping for deep image prior](https://arxiv.org/abs/2112.06074)|[early_stopping_for_dip](https://github.com/sun-umn/early_stopping_for_dip)|\n", "2112.07252": "|[a deep knowledge distillation framework for eeg assisted enhancement of single-lead ecg based sleep staging](https://arxiv.org/abs/2112.07252)|[sleep_staging_kd](https://github.com/acrophase/sleep_staging_kd)|\n"}, "2021-12-16": {"2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n"}, "2021-12-17": {"2112.08817": "|[search for temporal cell segmentation robustness in phase-contrast microscopy videos](https://arxiv.org/abs/2112.08817)|[microscopy-dl-suite-tf](https://github.com/esgomezm/microscopy-dl-suite-tf)|\n", "2112.09071": "|[a deep learning based multitask network for respiration rate estimation -- a practical perspective](https://arxiv.org/abs/2112.09071)|[multirespdl](https://github.com/acrophase/multirespdl)|\n"}, "2021-12-18": {}, "2021-12-19": {}, "2021-12-20": {"2011.02000": "|[detection of maternal and fetal stress from the electrocardiogram with self-supervised representation learning](https://arxiv.org/abs/2011.02000)|[ssl-ecg-v2](https://github.com/pritamqu/ssl-ecg-v2)|\n", "2105.00934": "|[systematic assessment of hyperdimensional computing for epileptic seizure detection](https://arxiv.org/abs/2105.00934)|[HDforEpilepsyPublic](https://c4science.ch/source/HDforEpilepsyPublic)|\n"}, "2021-12-22": {"2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2112.10894": "|[subject-independent drowsiness recognition from single-channel eeg with an interpretable cnn-lstm model](https://arxiv.org/abs/2112.10894)|[Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM](https://github.com/cuijiancorbin/Subject-Independent-Drowsiness-Recognition-from-Single-Channel-EEG-with-an-Interpretable-CNN-LSTM)|\n", "2112.11218": "|[multiple time series fusion based on lstm an application to cap a phase classification using eeg](https://arxiv.org/abs/2112.11218)|[GA_PSO_DEEP_LEARNING](https://github.com/Dntfreitas/GA_PSO_DEEP_LEARNING)|\n"}, "2021-12-21": {"2112.10107": "|[expression is enough: improving traffic signal control with advanced traffic state representation](https://arxiv.org/abs/2112.10107)|[Advanced_XLight](https://github.com/LiangZhang1996/Advanced_XLight)|\n"}, "2021-12-23": {"2111.12429": "|[tsflex: flexible time series processing & feature extraction](https://arxiv.org/abs/2111.12429)|[tsflex](https://github.com/predict-idlab/tsflex)|\n"}, "2021-12-24": {"2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2009.07204": "|[new instances of quadratic apn functions](https://arxiv.org/abs/2009.07204)|[quadratic_apn](https://github.com/cbe90/quadratic_apn)|\n"}, "2021-12-25": {}, "2021-12-26": {}, "2021-12-27": {}, "2021-12-28": {"1811.02007": "|[hardware distortion correlation has negligible impact on ul massive mimo spectral efficiency](https://arxiv.org/abs/1811.02007)|[distortion-correlation](https://github.com/emilbjornson/distortion-correlation)|\n", "2012.05768": "|[variational quantum algorithms for trace distance and fidelity estimation](https://arxiv.org/abs/2012.05768)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n", "2101.12190": "|[practical distributed quantum information processing with loccnet](https://arxiv.org/abs/2101.12190)|[Quantum](https://github.com/PaddlePaddle/Quantum)|\n"}, "2021-12-29": {}, "2021-12-30": {"2012.13567": "|[towards real-world bci: ccspnet, a compact subject-independent motor imagery framework](https://arxiv.org/abs/2012.13567)|[CCSPNet](https://github.com/Singular-Brain/CCSPNet)|\n", "2107.14772": "|[decentralized power allocation for mimo-noma vehicular edge computing based on deep reinforcement learning](https://arxiv.org/abs/2107.14772)|[VEC_DRL_Doppler](https://github.com/qiongwu86/VEC_DRL_Doppler)|\n", "1902.10658": "|[regularity normalization: neuroscience-inspired unsupervised attention across neural network layers](https://arxiv.org/abs/1902.10658)|[UnsupervisedAttentionMechanism](https://github.com/doerlbh/UnsupervisedAttentionMechanism)|\n"}, "2021-12-31": {}, "2022-01-01": {}, "2022-01-02": {}, "2022-01-03": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2112.15071": "|[elastic 3d wavefield simulation on budget gpus using the glsl shading language](https://arxiv.org/abs/2112.15071)|[GLSL-Elastic-3D-Wavefield-Simulation](https://github.com/nosemeocurreapodo/GLSL-Elastic-3D-Wavefield-Simulation)|\n", "1906.12072": "|[multiple testing and variable selection along the path of the least angle regression](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n"}, "2022-01-04": {"2011.12906": "|[a review of open-world learning and steps toward open-world learning without labels](https://arxiv.org/abs/2011.12906)|[Open_World_Learning_Without_Labels](https://github.com/ROBOTICSENGINEER/Open_World_Learning_Without_Labels)|\n", "2102.00742": "|[reconfigurable intelligent surfaces: a signal processing perspective with wireless applications](https://arxiv.org/abs/2102.00742)|[spm_ris](https://github.com/emilbjornson/spm_ris)|\n", "2111.13984": "|[ncvx: a user-friendly and scalable package for nonconvex optimization in machine learning](https://arxiv.org/abs/2111.13984)|[ncvx](https://github.com/sun-umn/ncvx)|\n", "2201.00627": "|[uncertainty detection in eeg neural decoding models](https://arxiv.org/abs/2201.00627)|[ue-eeg](https://github.com/tiehangd/ue-eeg)|\n", "2201.00057": "|[optimal representations for covariate shift](https://arxiv.org/abs/2201.00057)|[optdom](https://github.com/ryoungj/optdom)|\n"}, "2022-01-05": {"2103.12676": "|[self-supervised representation learning from 12-lead ecg data](https://arxiv.org/abs/2103.12676)|[ecg-selfsupervised](https://github.com/hhi-aml/ecg-selfsupervised)|\n", "2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n", "2107.05262": "|[dihedral multi-reference alignment](https://arxiv.org/abs/2107.05262)|[DihedralMRA](https://github.com/nirsharon/DihedralMRA)|\n", "2201.00650": "|[deep learning interviews: hundreds of fully solved job interview questions from a wide range of key topics in ai](https://arxiv.org/abs/2201.00650)|[interviews.ai](https://github.com/BoltzmannEntropy/interviews.ai)|\n"}, "2022-01-06": {"2102.08732": "|[a sketching framework for reduced data transfer in photon counting lidar](https://arxiv.org/abs/2102.08732)|[sketched_lidar](https://gitlab.com/Tachella/sketched_lidar)|\n", "2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/gongxinyao/robust-photon-efficient-imaging-using-prsnet)|\n"}, "2022-01-07": {"2107.10294": "|[user-centric perspective in random access cell-free aided by spatial separability](https://arxiv.org/abs/2107.10294)|[cf-ra-spatial-separability](https://github.com/victorcroisfelt/cf-ra-spatial-separability)|\n", "2102.10324": "|[necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables](https://arxiv.org/abs/2102.10324)|[tigramite](https://github.com/jakobrunge/tigramite)|\n"}, "2022-01-08": {}, "2022-01-09": {}, "2022-01-10": {"2011.05506": "|[automatic open-world reliability assessment](https://arxiv.org/abs/2011.05506)|[Automatic-Open-World-Reliability-Assessment](https://github.com/ROBOTICSENGINEER/Automatic-Open-World-Reliability-Assessment)|\n", "2102.03814": "|[min2net: end-to-end multi-task learning for subject-independent motor imagery eeg classification](https://arxiv.org/abs/2102.03814)|[min2net](https://github.com/iobt-vistec/min2net)|\n"}, "2022-01-11": {"2108.00918": "|[communication-efficient federated learning via predictive coding](https://arxiv.org/abs/2108.00918)|[predictive-coding-fl](https://github.com/kai-yue/predictive-coding-fl)|\n", "2110.07471": "|[stability analysis of unfolded wmmse for power allocation](https://arxiv.org/abs/2110.07471)|[stability-uwmmse](https://github.com/archo48/stability-uwmmse)|\n", "2201.03211": "|[noisy neonatal chest sound separation for high-quality heart and lung sounds](https://arxiv.org/abs/2201.03211)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2201.03267": "|[a high-level track fusion scheme for circular quantities](https://arxiv.org/abs/2201.03267)|[circularfusionoperator](https://github.com/soerenkoh/circularfusionoperator)|\n", "2201.01741": "|[understanding entropy coding with asymmetric numeral systems (ans): a statistician's perspective](https://arxiv.org/abs/2201.01741)|[understanding-ans](https://github.com/bamler-lab/understanding-ans)|\n"}, "2022-01-12": {"2006.01169": "|[rnns on monitoring physical activity energy expenditure in older people](https://arxiv.org/abs/2006.01169)|[GOTOV_PAEE_publication](https://github.com/parastelios/GOTOV_PAEE_publication)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n"}, "2022-01-13": {"2004.11468": "|[how to find a unicorn: a novel model-free, unsupervised anomaly detection method for time series](https://arxiv.org/abs/2004.11468)|[uniqed](https://github.com/phrenico/uniqed)|\n", "2110.07136": "|[federated learning for covid-19 detection with generative adversarial networks in edge cloud computing](https://arxiv.org/abs/2110.07136)|[FL-GAN_COVID](https://github.com/dinhgit/FL-GAN_COVID)|\n", "2201.04471": "|[implementation of fgpa based channel sounder for large scale antenna systems using rfnoc on usrp platform](https://arxiv.org/abs/2201.04471)|[rfnoc-hls-winlab](https://github.com/xilinx/rfnoc-hls-winlab)|\n"}, "2022-01-14": {"2201.04125": "|[spectrum surveying: active radio map estimation with autonomous uavs](https://arxiv.org/abs/2201.04125)|[spectrum_surveying_with_uavs](https://github.com/uiano/spectrum_surveying_with_uavs)|\n", "2201.04784": "|[performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach](https://arxiv.org/abs/2201.04784)|[mmtc-noma](https://github.com/thanhluannguyen/mmtc-noma)|\n"}, "2022-01-15": {}, "2022-01-16": {}, "2022-01-17": {}, "2022-01-18": {}, "2022-01-19": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2107.06678": "|[optimal power allocation in downlink multicarrier noma systems: theory and fast algorithms](https://arxiv.org/abs/2107.06678)|[optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization](https://gitlab.com/sepehrrezvani/optimal-power-allocation-in-downlink-noma.-sum-rate-and-energy-efficiency-maximization)|\n", "2111.05496": "|[resnests and densenests: block-based dnn models with improved representation guarantees](https://arxiv.org/abs/2111.05496)|[resnest](https://github.com/kjason/resnest)|\n", "2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2112.10400": "|[sending timely status updates through channel with random delay via online learning](https://arxiv.org/abs/2112.10400)|[infocom2022](https://github.com/loveisbasa/infocom2022)|\n"}, "2022-01-20": {"2106.02493": "|[homological time series analysis of sensor signals from power plants](https://arxiv.org/abs/2106.02493)|[TwirlFlake](https://github.com/karhunenloeve/TwirlFlake)|\n"}, "2022-01-21": {}, "2022-01-22": {}, "2022-01-23": {}, "2022-01-24": {}, "2022-01-25": {"2103.02313": "|[open community platform for hearing aid algorithm research: open master hearing aid (openmha)](https://arxiv.org/abs/2103.02313)|[softx-d-21-00049](https://github.com/elseviersoftwarex/softx-d-21-00049)|\n", "2107.10043": "|[kalmannet: neural network aided kalman filtering for partially known dynamics](https://arxiv.org/abs/2107.10043)|[KalmanNet_TSP](https://github.com/KalmanNet/KalmanNet_TSP)|\n", "2109.03275": "|[a new non-negative matrix co-factorisation approach for noisy neonatal chest sound separation](https://arxiv.org/abs/2109.03275)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2109.15127": "|[real-time multi-level neonatal heart and lung sound quality assessment for telehealth applications](https://arxiv.org/abs/2109.15127)|[heart-and-lung-signal-quality-estimation](https://github.com/egrooby-monash/heart-and-lung-signal-quality-estimation)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n", "2201.08994": "|[an unsupervised deep unrolling framework for constrained optimization problems in wireless networks](https://arxiv.org/abs/2201.08994)|[usrmnet-hwgcn](https://github.com/soulven/usrmnet-hwgcn)|\n"}, "2022-01-27": {"2105.13667": "|[grouped variable selection for generalized eigenvalue problems](https://arxiv.org/abs/2105.13667)|[benchmarkStudySensorSelection](https://github.com/AlexanderBertrandLab/benchmarkStudySensorSelection)|\n"}, "2022-01-26": {"2201.09934": "|[low complexity channel estimation with neural network solutions](https://arxiv.org/abs/2201.09934)|[Interpolation-ResNet](https://github.com/dianixn/Interpolation-ResNet)|\n", "2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n"}, "2022-01-28": {"2201.11308": "|[calibration with privacy in peer review](https://arxiv.org/abs/2201.11308)|[calibration-with-privacy-in-peer-review](https://github.com/wenxind/calibration-with-privacy-in-peer-review)|\n"}, "2022-01-29": {}, "2022-01-30": {}, "2022-01-31": {"2012.04542": "|[quantification of mismatch error in randomly switching linear state-space models](https://arxiv.org/abs/2012.04542)|[Switching-Kalman-Filter](https://github.com/ParissKK/Switching-Kalman-Filter)|\n", "2104.12356": "|[a tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiology](https://arxiv.org/abs/2104.12356)|[GED_tutorial](https://github.com/mikexcohen/GED_tutorial)|\n", "2201.11983": "|[inertial navigation using an inertial sensor array](https://arxiv.org/abs/2201.11983)|[array-in](https://github.com/hcarlsso/array-in)|\n", "2201.12159": "|[stochastic optimization in digital pre-distortion of the signal](https://arxiv.org/abs/2201.12159)|[Sirius-2021-DPD-optimization](https://github.com/dmivilensky/Sirius-2021-DPD-optimization)|\n", "2106.10800": "|[lossy compression for lossless prediction](https://arxiv.org/abs/2106.10800)|[lossyless](https://github.com/YannDubs/lossyless)|\n"}, "2022-02-01": {"2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2201.12634": "|[deep task-based analog-to-digital conversion](https://arxiv.org/abs/2201.12634)|[adc-learning-hyperopt](https://github.com/arielamar123/adc-learning-hyperopt)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n"}, "2022-02-02": {"2102.00927": "|[total least squares phase retrieval](https://arxiv.org/abs/2102.00927)|[tls_phase](https://github.com/swing-research/tls_phase)|\n", "2102.10506": "|[practical graph signal sampling with log-linear size scaling](https://arxiv.org/abs/2102.10506)|[graph-signal-sampling-avm](https://github.com/stac-usc/graph-signal-sampling-avm)|\n", "2108.00559": "|[a machine-learning-based direction-of-origin filter for the identification of radio frequency interference in the search for technosignatures](https://arxiv.org/abs/2108.00559)|[doom](https://github.com/UCLA-SETI-Group/doom)|\n", "2110.05588": "|[deepfilternet: a low complexity speech enhancement framework for full-band audio based on deep filtering](https://arxiv.org/abs/2110.05588)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n", "2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2202.00589": "|[blind ecg restoration by operational cycle-gans](https://arxiv.org/abs/2202.00589)|[blind-ecg-restoration-by-operational-cycle-gans](https://github.com/ozercandevecioglu/blind-ecg-restoration-by-operational-cycle-gans)|\n", "2202.00129": "|[fundamental performance limits for sensor-based robot control and policy learning](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n", "2202.00136": "|[non-adaptive and two-stage coding over the z-channel](https://arxiv.org/abs/2202.00136)|[Z-channel_with_1_error](https://github.com/VorobyevIlya/Z-channel_with_1_error)|\n"}, "2022-02-03": {"2201.11222": "|[online change point detection for weighted and directed random dot product graphs](https://arxiv.org/abs/2201.11222)|[cpd_rdpg](https://github.com/git-artes/cpd_rdpg)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-02-04": {"2110.06048": "|[the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control](https://arxiv.org/abs/2110.06048)|[tknock](https://github.com/jasinmachkour/tknock)|\n", "2110.07308": "|[node-screening tests for l0-penalized least-squares problem with supplementary material](https://arxiv.org/abs/2110.07308)|[bnb-screening](https://gitlab.insa-rennes.fr/Theo.Guyard/bnb-screening)|\n", "2110.07570": "|[mgc: a complex-valued graph convolutional network for directed graphs](https://arxiv.org/abs/2110.07570)|[MGCs](https://github.com/hazdzz/MGCs)|\n", "2202.00738": "|[locunet: fast urban positioning using radio maps and deep learning](https://arxiv.org/abs/2202.00738)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2202.01646": "|[improving lyrics alignment through joint pitch detection](https://arxiv.org/abs/2202.01646)|[lyricsalignment-mtl](https://github.com/jhuang448/lyricsalignment-mtl)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-02-05": {}, "2022-02-06": {}, "2022-02-07": {"2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2202.01956": "|[maximum likelihood estimation of optimal receiver operating characteristic curves from likelihood ratio observations](https://arxiv.org/abs/2202.01956)|[mleroc](https://github.com/veggente/mleroc)|\n"}, "2022-02-08": {"2202.02673": "|[physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading](https://arxiv.org/abs/2202.02673)|[physfad](https://github.com/philipp-delhougne/physfad)|\n", "2202.02901": "|[inter-subject contrastive learning for subject adaptive eeg-based visual recognition](https://arxiv.org/abs/2202.02901)|[Deep-BCI](https://github.com/DeepBCI/Deep-BCI)|\n", "2202.03129": "|[over-the-air ensemble inference with model privacy](https://arxiv.org/abs/2202.03129)|[oac-based-private-ensembles](https://github.com/selimfirat/oac-based-private-ensembles)|\n", "2202.03224": "|[hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series](https://arxiv.org/abs/2202.03224)|[f1fashiondataset](https://github.com/etidav/f1fashiondataset)|\n", "2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "1805.08342": "|[nearest neighbor density functional estimation from inverse laplace transform](https://arxiv.org/abs/1805.08342)|[knn-functional-estimation](https://github.com/jongharyu/knn-functional-estimation)|\n", "2007.14900": "|[bayesian context trees: modelling and exact inference for discrete time series](https://arxiv.org/abs/2007.14900)|[Bayesian-Suffix-Trees](https://github.com/IoannisPapageorgiou/Bayesian-Suffix-Trees)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[SPRLD](https://github.com/nghiadt05/SPRLD)|\n", "2202.02406": "|[parameter-free online linear optimization with side information via universal coin betting](https://arxiv.org/abs/2202.02406)|[olo-with-side-information](https://github.com/jongharyu/olo-with-side-information)|\n", "2202.02812": "|[lossy gradient compression: how much accuracy can one bit buy?](https://arxiv.org/abs/2202.02812)|[fl_rd](https://github.com/sadafsk/fl_rd)|\n", "2202.03352": "|[analog secure distributed matrix multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n"}, "2022-02-09": {"2011.08562": "|[a deep neural network for ssvep-based brain-computer interfaces](https://arxiv.org/abs/2011.08562)|[Deep-SSVEP-BCI](https://github.com/osmanberke/Deep-SSVEP-BCI)|\n", "2110.04717": "|[rtsnet: deep learning aided kalman smoothing](https://arxiv.org/abs/2110.04717)|[rtsnet_icassp22](https://github.com/kalmannet/rtsnet_icassp22)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2202.03875": "|[unsupervised source separation via self-supervised training](https://arxiv.org/abs/2202.03875)|[mixcycle](https://github.com/ertug/mixcycle)|\n"}, "2022-02-10": {"2109.10581": "|[deep augmented music algorithm for data-driven doa estimation](https://arxiv.org/abs/2109.10581)|[icassp22](https://github.com/da-music/icassp22)|\n", "2110.04738": "|[uncertainty in data-driven kalman filtering for partially known state-space models](https://arxiv.org/abs/2110.04738)|[errcov_icassp22](https://github.com/kalmannet/errcov_icassp22)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2112.04075": "|[active sensing for communications by learning](https://arxiv.org/abs/2112.04075)|[dl-activesensing](https://github.com/foadsohrabi/dl-activesensing)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-02-11": {"2102.08329": "|[an information-theoretic justification for model pruning](https://arxiv.org/abs/2102.08329)|[SuRP](https://github.com/BerivanIsik/SuRP)|\n", "2202.05158": "|[sumo: advanced sleep spindle identification with neural networks](https://arxiv.org/abs/2202.05158)|[sumo](https://github.com/dslaborg/sumo)|\n"}, "2022-02-12": {}, "2022-02-13": {}, "2022-02-14": {"2104.05614": "|[a dynamic response recovery framework using ambient synchrophasor data](https://arxiv.org/abs/2104.05614)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2202.05686": "|[graphon-aided joint estimation of multiple graphs](https://arxiv.org/abs/2202.05686)|[jointinf_graphs_graphon](https://github.com/mn51/jointinf_graphs_graphon)|\n"}, "2022-02-15": {"2010.12998": "|[demystifying why local aggregation helps: convergence analysis of hierarchical sgd](https://arxiv.org/abs/2010.12998)|[hierarchical-sgd](https://github.com/c3atuofu/hierarchical-sgd)|\n", "2103.09721": "|[massive uncoordinated access with random user activity](https://arxiv.org/abs/2103.09721)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n", "2202.05343": "|[coded resnext: a network for designing disentangled information paths](https://arxiv.org/abs/2202.05343)|[coded-resnext](https://github.com/avranasa/coded-resnext)|\n", "2202.06365": "|[unsourced multiple access with random user activity](https://arxiv.org/abs/2202.06365)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n"}, "2022-02-16": {"2110.02878": "|[an investigation of the effectiveness of phase for audio classification](https://arxiv.org/abs/2110.02878)|[investigation-phase](https://github.com/onkyo14taro/investigation-phase)|\n", "2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[proximal-alt-min-for-uls-udgp](https://github.com/aabbas02/proximal-alt-min-for-uls-udgp)|\n", "2111.08177": "|[score-based generative models for robust channel estimation](https://arxiv.org/abs/2111.08177)|[diffusion-channels](https://github.com/utcsilab/diffusion-channels)|\n", "2202.03224": "|[hermes: hybrid error-corrector model with inclusion of external signals for nonstationary fashion time series](https://arxiv.org/abs/2202.03224)|[f1fashiondataset](https://github.com/etidav/f1fashiondataset)|\n", "2202.00964": "|[understanding knowledge integration in language models with graph convolutions](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n"}, "2022-02-17": {"2110.03691": "|[direct design of biquad filter cascades with deep learning by sampling random polynomials](https://arxiv.org/abs/2110.03691)|[iirnet](https://github.com/csteinmetz1/iirnet)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2202.07884": "|[deep-learning-assisted configuration of reconfigurable intelligent surfaces in dynamic rich-scattering environments](https://arxiv.org/abs/2202.07884)|[deep_ris_tuning_for_rich_scattering_environments](https://github.com/noesyslab/deep_ris_tuning_for_rich_scattering_environments)|\n", "2202.07895": "|[enhancing causal estimation through unlabeled offline data](https://arxiv.org/abs/2202.07895)|[enhancing-causal-estimations](https://github.com/ronteichner/enhancing-causal-estimations)|\n"}, "2022-02-18": {"1911.03314": "|[fann-on-mcu: an open-source toolkit for energy-efficient neural network inference at the edge of the internet of things](https://arxiv.org/abs/1911.03314)|[fann-on-mcu](https://github.com/pulp-platform/fann-on-mcu)|\n", "2107.10294": "|[user-centric perspective in random access cell-free aided by spatial separability](https://arxiv.org/abs/2107.10294)|[cf-ra-spatial-separability](https://github.com/victorcroisfelt/cf-ra-spatial-separability)|\n", "2111.07017": "|[delay-oriented distributed scheduling using graph neural networks](https://arxiv.org/abs/2111.07017)|[gcn-dql](https://github.com/zhongyuanzhao/gcn-dql)|\n", "2202.08538": "|[two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images](https://arxiv.org/abs/2202.08538)|[2d-structure-functions](https://github.com/cgranerob/2d-structure-functions)|\n"}, "2022-02-19": {}, "2022-02-20": {}, "2022-02-22": {"2110.14789": "|[millimeter wave wireless assisted robot navigation with link state classification](https://arxiv.org/abs/2110.14789)|[mmwRobotNav](https://github.com/nyu-wireless/mmwRobotNav)|\n", "2111.00704": "|[a novel 1d state space for efficient music rhythmic analysis](https://arxiv.org/abs/2111.00704)|[1d-statespace](https://github.com/mjhydri/1d-statespace)|\n", "2112.00989": "|[embedding decomposition for artifacts removal in eeg signals](https://arxiv.org/abs/2112.00989)|[deepseparator](https://github.com/ncclabsustech/deepseparator)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n", "2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2202.10371": "|[coordinated sum-rate maximization in multicell mu-mimo with deep unrolling](https://arxiv.org/abs/2202.10371)|[gcnwmmse](https://github.com/lsky96/gcnwmmse)|\n", "2106.12627": "|[provably efficient machine learning for quantum many-body problems](https://arxiv.org/abs/2106.12627)|[provable-ml-quantum](https://github.com/hsinyuan-huang/provable-ml-quantum)|\n"}, "2022-02-21": {"2107.09507": "|[eeg-based cross-subject driver drowsiness recognition with an interpretable convolutional neural network](https://arxiv.org/abs/2107.09507)|[eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn](https://github.com/cuijiancorbin/eeg-based-cross-subject-driver-drowsiness-recognition-with-an-interpretable-cnn)|\n", "2109.05107": "|[feasibility of modeling orthogonal frequency-division multiplexing communication signals with unsupervised generative adversarial networks](https://arxiv.org/abs/2109.05107)|[ofdm-gan](https://github.com/usnistgov/ofdm-gan)|\n", "2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n"}, "2022-02-23": {"2007.11869": "|[an experimental mmwave channel model for uav-to-uav communications](https://arxiv.org/abs/2007.11869)|[uav-to-uav-60-ghz-channel-model](https://github.com/wineslab/uav-to-uav-60-ghz-channel-model)|\n", "2108.02541": "|[foundations of user-centric cell-free massive mimo](https://arxiv.org/abs/2108.02541)|[cell-free-book](https://github.com/emilbjornson/cell-free-book)|\n", "2111.04433": "|[rawboost: a raw data boosting and augmentation method applied to automatic speaker verification anti-spoofing](https://arxiv.org/abs/2111.04433)|[RawBoost-antispoofing](https://github.com/TakHemlata/RawBoost-antispoofing)|\n", "2106.14866": "|[learning from an exploring demonstrator: optimal reward estimation for bandits](https://arxiv.org/abs/2106.14866)|[inverse-bandit-code-release](https://github.com/wenshuoguo/inverse-bandit-code-release)|\n", "2202.11042": "|[fasura: a scheme for quasi-static massive mimo unsourced random access channels](https://arxiv.org/abs/2202.11042)|[mmtc](https://github.com/engprojects/mmtc)|\n"}, "2022-02-24": {}, "2022-02-25": {"2202.12199": "|[detection by sampling: massive mimo detector based on langevin dynamics](https://arxiv.org/abs/2202.12199)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2006.00987": "|[quantum circuit design for universal distribution using a superposition of classical automata](https://arxiv.org/abs/2006.00987)|[QuBio](https://github.com/Advanced-Research-Centre/QuBio)|\n"}, "2022-02-26": {}, "2022-02-27": {}, "2022-02-28": {"2110.03448": "|[multi-head relu implicit neural representation networks](https://arxiv.org/abs/2110.03448)|[mh-relu-inr](https://github.com/alirezamorsali/mh-relu-inr)|\n", "2110.04683": "|[mixture model auto-encoders: deep clustering through dictionary learning](https://arxiv.org/abs/2110.04683)|[mixmate](https://github.com/al5250/mixmate)|\n", "2110.05606": "|[nearest subspace search in the signed cumulative distribution transform space for 1d signal classification](https://arxiv.org/abs/2110.05606)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2202.12380": "|[fast matching pursuit with multi-gabor dictionaries](https://arxiv.org/abs/2202.12380)|[fastmpwithmultigabor](https://github.com/ltfat/fastmpwithmultigabor)|\n", "2108.11345": "|[a unifying theory of thompson sampling for continuous risk-averse bandits](https://arxiv.org/abs/2108.11345)|[continuous-rho-ts](https://github.com/joel-ql-chang/continuous-rho-ts)|\n"}, "2022-03-01": {"2107.07596": "|[depth estimation from monocular images and sparse radar using deep ordinal regression network](https://arxiv.org/abs/2107.07596)|[DORN_radar](https://github.com/lochenchou/DORN_radar)|\n", "2202.12936": "|[automated parkinson's disease detection and affective analysis from emotional eeg signals](https://arxiv.org/abs/2202.12936)|[pd-eeg](https://github.com/ravikiranrao/pd-eeg)|\n", "2202.13651": "|[signal-to-noise ratio is more important than sampling rate in beat-to-beat interval estimation from optical sensors](https://arxiv.org/abs/2202.13651)|[ppg_sim_snr_fs](https://github.com/kismed-tuda/ppg_sim_snr_fs)|\n", "2202.13757": "|[fast off-the-grid sparse recovery with over-parametrized projected gradient descent](https://arxiv.org/abs/2202.13757)|[opcomp_sparse_recovery](https://github.com/pjbenard/opcomp_sparse_recovery)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2202.13491": "|[sparsity-aware neural user behavior modeling in online interaction platforms](https://arxiv.org/abs/2202.13491)|[Inf-VAE](https://github.com/aravindsankar28/Inf-VAE)|\n", "2202.13576": "|[kl divergence estimation with multi-group attribution](https://arxiv.org/abs/2202.13576)|[multigroup-kl](https://github.com/vatsalsharan/multigroup-kl)|\n"}, "2022-03-02": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2203.00266": "|[phycom: a multi-layer parametric network for joint linear impairments compensation and symbol detection](https://arxiv.org/abs/2203.00266)|[PhyCOM](https://github.com/vincentchoqueuse/PhyCOM)|\n", "2001.11212": "|[tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions](https://arxiv.org/abs/2001.11212)|[tcmi](https://github.com/BenjaminRegler/tcmi)|\n"}, "2022-03-03": {"2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[MLOPF.jl](https://github.com/tdfalc/MLOPF.jl)|\n", "2112.02890": "|[a fast and scalable polyatomic frank-wolfe algorithm for the lasso](https://arxiv.org/abs/2112.02890)|[PolyatomicFW_SPL](https://github.com/AdriaJ/PolyatomicFW_SPL)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2203.00952": "|[sketched rt3d: how to reconstruct billions of photons per second](https://arxiv.org/abs/2203.00952)|[real-time-sp-lidar](https://gitlab.com/tachella/real-time-sp-lidar)|\n"}, "2022-03-04": {"2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n"}, "2022-03-05": {}, "2022-03-06": {}, "2022-03-07": {"2107.09518": "|[relay-assisted cooperative federated learning](https://arxiv.org/abs/2107.09518)|[relay-fl](https://github.com/zhlinup/relay-fl)|\n", "2202.08538": "|[two-dimensional structure functions to characterize convective rolls in the marine atmospheric boundary layer from sentinel-1 sar images](https://arxiv.org/abs/2202.08538)|[2d-structure-functions](https://github.com/cgranerob/2d-structure-functions)|\n", "2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/bingzant/beats)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2203.02064": "|[programmable optical data transmission through multimode fibres enabling confidentiality by physical layer security](https://arxiv.org/abs/2203.02064)|[mmf-physec](https://github.com/klb2/mmf-physec)|\n"}, "2022-03-08": {"2010.12632": "|[biologically plausible single-layer networks for nonnegative independent component analysis](https://arxiv.org/abs/2010.12632)|[bio-nica](https://github.com/flatironinstitute/bio-nica)|\n", "2106.16194": "|[decentralized beamforming for cell-free massive mimo with unsupervised learning](https://arxiv.org/abs/2106.16194)|[CF-mMIMO-HBF](https://github.com/HamedHojatian/CF-mMIMO-HBF)|\n", "2110.00414": "|[predicting flat-fading channels via meta-learned closed-form linear filters and equilibrium propagation](https://arxiv.org/abs/2110.00414)|[scalar-channel-meta-prediction](https://github.com/kclip/scalar-channel-meta-prediction)|\n", "2112.05694": "|[unrolling palm for sparse semi-blind source separation](https://arxiv.org/abs/2112.05694)|[lpalm](https://github.com/mfahes/lpalm)|\n", "2112.06074": "|[early stopping for deep image prior](https://arxiv.org/abs/2112.06074)|[early_stopping_for_dip](https://github.com/sun-umn/early_stopping_for_dip)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2203.03166": "|[hrtf measurement for accurate identification of binaural sound localization cues](https://arxiv.org/abs/2203.03166)|[hrtf-construction](https://github.com/hansaram80/hrtf-construction)|\n"}, "2022-03-09": {"2102.00742": "|[reconfigurable intelligent surfaces: a signal processing perspective with wireless applications](https://arxiv.org/abs/2102.00742)|[spm_ris](https://github.com/emilbjornson/spm_ris)|\n", "2110.06048": "|[the terminating-knockoff filter: fast high-dimensional variable selection with false discovery rate control](https://arxiv.org/abs/2110.06048)|[tknock](https://github.com/jasinmachkour/tknock)|\n", "2201.04756": "|[roadside lidar vehicle detection and tracking using range and intensity background subtraction](https://arxiv.org/abs/2201.04756)|[roadside-lidar-vehicle-detection-and-tracking-background-subtraction](https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction)|\n", "2007.06795": "|[coding theory package for macaulay2](https://arxiv.org/abs/2007.06795)|[Workshop-2020-Cleveland](https://github.com/Macaulay2/Workshop-2020-Cleveland)|\n", "2110.05794": "|[information theoretic structured generative modeling](https://arxiv.org/abs/2110.05794)|[structured-generative-modeling](https://github.com/bohu615/structured-generative-modeling)|\n", "2202.11042": "|[fasura: a scheme for quasi-static massive mimo unsourced random access channels](https://arxiv.org/abs/2202.11042)|[mmtc](https://github.com/engprojects/mmtc)|\n"}, "2022-03-10": {}, "2022-03-11": {"2203.02380": "|[exploring scalable, distributed real-time anomaly detection for bridge health monitoring](https://arxiv.org/abs/2203.02380)|[real_time_bhm](https://github.com/miirho3ein/real_time_bhm)|\n"}, "2022-03-12": {}, "2022-03-13": {}, "2022-03-14": {"2107.10043": "|[kalmannet: neural network aided kalman filtering for partially known dynamics](https://arxiv.org/abs/2107.10043)|[KalmanNet_TSP](https://github.com/KalmanNet/KalmanNet_TSP)|\n", "1805.08342": "|[nearest neighbor density functional estimation from inverse laplace transform](https://arxiv.org/abs/1805.08342)|[knn-functional-estimation](https://github.com/jongharyu/knn-functional-estimation)|\n"}, "2022-03-15": {"2104.08336": "|[self-supervised graph neural networks for improved electroencephalographic seizure analysis](https://arxiv.org/abs/2104.08336)|[eeg-gnn-ssl](https://github.com/tsy935/eeg-gnn-ssl)|\n", "2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n", "2203.06997": "|[modelling non-smooth signals with complex spectral structure](https://arxiv.org/abs/2203.06997)|[gpcm](https://github.com/wesselb/gpcm)|\n", "1908.08642": "|[a novel approach to the partial information decomposition](https://arxiv.org/abs/1908.08642)|[redundancy](https://github.com/artemyk/redundancy)|\n"}, "2022-03-16": {"2110.04124": "|[ensemble neural representation networks](https://arxiv.org/abs/2110.04124)|[enrp](https://github.com/alirezamorsali/enrp)|\n", "2110.09759": "|[a regularization method to improve adversarial robustness of neural networks for ecg signal classification](https://arxiv.org/abs/2110.09759)|[robust_dnn_for_ecg](https://github.com/sarielma/robust_dnn_for_ecg)|\n", "2203.07703": "|[benchmarking and interpreting end-to-end learning of mimo and multi-user communication](https://arxiv.org/abs/2203.07703)|[DeepLearning_MIMO](https://github.com/JSChalmers/DeepLearning_MIMO)|\n", "2203.07902": "|[generalized rectifier wavelet covariance models for texture synthesis](https://arxiv.org/abs/2203.07902)|[wavelet-texture-synthesis](https://github.com/abrochar/wavelet-texture-synthesis)|\n", "1802.05843": "|[minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification](https://arxiv.org/abs/1802.05843)|[Network-Robustness-by-Kolmogorov-Complexity](https://github.com/andandandand/Network-Robustness-by-Kolmogorov-Complexity)|\n", "2201.00057": "|[optimal representations for covariate shift](https://arxiv.org/abs/2201.00057)|[optdom](https://github.com/ryoungj/optdom)|\n", "2201.02664": "|[optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory](https://arxiv.org/abs/2201.02664)|[compressed_communication](https://github.com/google-research/federated/tree/1b31b84/compressed_communication)|\n", "2203.07752": "|[optimal denoising of rotationally invariant rectangular matrices](https://arxiv.org/abs/2203.07752)|[rectangular_rie](https://github.com/penombraet/rectangular_rie)|\n"}, "2022-03-17": {"2111.12855": "|[robust equivariant imaging: a fully unsupervised framework for learning to image from noisy and partial measurements](https://arxiv.org/abs/2111.12855)|[rei](https://github.com/edongdongchen/rei)|\n", "2111.11632": "|[lossless compression with probabilistic circuits](https://arxiv.org/abs/2111.11632)|[pressedjuice.jl](https://github.com/juice-jl/pressedjuice.jl)|\n"}, "2022-03-18": {"2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n"}, "2022-03-19": {}, "2022-03-20": {}, "2022-03-21": {"2203.06889": "|[lead-agnostic self-supervised learning for local and global representations of electrocardiogram](https://arxiv.org/abs/2203.06889)|[fairseq-signals](https://github.com/jwoo5/fairseq-signals)|\n", "2203.09693": "|[generative principal component analysis](https://arxiv.org/abs/2203.09693)|[GenerativePCA](https://github.com/liuzq09/GenerativePCA)|\n"}, "2022-03-22": {"2110.05283": "|[phase collapse in neural networks](https://arxiv.org/abs/2110.05283)|[phasecollapse](https://github.com/florentinguth/phasecollapse)|\n", "2111.07401": "|[neural capacity estimators: how reliable are they?](https://arxiv.org/abs/2111.07401)|[nce_icc-2022](https://github.com/farhad-mrkm/nce_icc-2022)|\n", "2111.12066": "|[physics informed neural networks for control oriented thermal modeling of buildings](https://arxiv.org/abs/2111.12066)|[physnet_thermal_models](https://github.com/gargyagokhale/physnet_thermal_models)|\n", "2203.10219": "|[efficient doa estimation method for reconfigurable intelligent surfaces aided uav swarm](https://arxiv.org/abs/2203.10219)|[adpp](https://github.com/chenpengseu/adpp)|\n", "2203.10231": "|[sdoanet: an efficient deep learning-based doa estimation network for imperfect array](https://arxiv.org/abs/2203.10231)|[sdoanet](https://github.com/chenpengseu/sdoanet)|\n", "2203.10800": "|[graph neural networks for wireless communications: from theory to practice](https://arxiv.org/abs/2203.10800)|[gnn4com](https://github.com/yshenaw/gnn4com)|\n", "2203.11012": "|[learning resilient radio resource management policies with graph neural networks](https://arxiv.org/abs/2203.11012)|[Resilient_RRM_GNN](https://github.com/navid-naderi/Resilient_RRM_GNN)|\n", "2101.02420": "|[towards optimally efficient search with deep learning for large-scale mimo systems](https://arxiv.org/abs/2101.02420)|[hats](https://github.com/skypitcher/hats)|\n"}, "2022-03-23": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "2203.11854": "|[sionna: an open-source library for next-generation physical layer research](https://arxiv.org/abs/2203.11854)|[sionna](https://github.com/nvlabs/sionna)|\n"}, "2022-03-24": {"2105.02786": "|[lggnet: learning from local-global-graph representations for brain-computer interface](https://arxiv.org/abs/2105.02786)|[LGG](https://github.com/yi-ding-cs/LGG)|\n", "2203.09723": "|[estimation of consistent time delays in subsample via auxiliary-function-based iterative updates](https://arxiv.org/abs/2203.09723)|[auxtde](https://github.com/onolab-tmu/auxtde)|\n", "2203.12590": "|[transsleep: transitioning-aware attention-based deep neural network for sleep staging](https://arxiv.org/abs/2203.12590)|[transsleep](https://github.com/ku-milab/transsleep)|\n", "2203.12594": "|[deep learning based intelligent coin-tap test for defect recognition](https://arxiv.org/abs/2203.12594)|[torch-tapnet](https://github.com/pphub-hy/torch-tapnet)|\n", "2203.12595": "|[physiomtl: personalizing physiological patterns using optimal transport multi-task regression](https://arxiv.org/abs/2203.12595)|[mmash](https://github.com/rossialessio/mmash)|\n", "2104.07006": "|[fast quantum state reconstruction via accelerated non-convex programming](https://arxiv.org/abs/2104.07006)|[MiFGD](https://github.com/gidiko/MiFGD)|\n", "2109.02914": "|[scale-invariant representation of machine learning](https://arxiv.org/abs/2109.02914)|[powerlaw_ml](https://github.com/sungyeop/powerlaw_ml)|\n", "2203.12265": "|[node representation learning in graph via node-to-neighbourhood mutual information maximization](https://arxiv.org/abs/2203.12265)|[n2n](https://github.com/dongwei156/n2n)|\n", "2203.12336": "|[the impact of partial packet recovery on the inherent secrecy of random linear coding](https://arxiv.org/abs/2203.12336)|[vtc2022-spring](https://github.com/ioannischatzigeorgiou/vtc2022-spring)|\n"}, "2022-03-25": {"2203.13216": "|[complex frequency domain linear prediction: a tool to compute modulation spectrum of speech](https://arxiv.org/abs/2203.13216)|[fdlp_spectrogram](https://github.com/sadhusamik/fdlp_spectrogram)|\n", "2109.06248": "|[distilling ghz states using stabilizer codes](https://arxiv.org/abs/2109.06248)|[ghz_distillation_qec](https://github.com/nrenga/ghz_distillation_qec)|\n"}, "2022-03-26": {}, "2022-03-27": {}, "2022-03-28": {"2203.13508": "|[bddm: bilateral denoising diffusion models for fast and high-quality speech synthesis](https://arxiv.org/abs/2203.13508)|[bddm](https://github.com/tencent-ailab/bddm)|\n"}, "2022-03-29": {"2007.05177": "|[deep unfolding basis pursuit: improving sparse channel reconstruction via data-driven measurement matrices](https://arxiv.org/abs/2007.05177)|[DeepBP-AE](https://github.com/pengxiawu/DeepBP-AE)|\n", "2107.09539": "|[parametric scattering networks](https://arxiv.org/abs/2107.09539)|[ParametricScatteringNetworks](https://github.com/bentherien/ParametricScatteringNetworks)|\n", "2203.14158": "|[predicting the impact of formation protocols on battery lifetime immediately after manufacturing](https://arxiv.org/abs/2203.14158)|[fast-formation](https://github.com/wengandrew/fast-formation)|\n", "2203.14339": "|[distributed link sparsification for scalable scheduling using graph neural networks](https://arxiv.org/abs/2203.14339)|[gcn-sparsify](https://github.com/zhongyuanzhao/gcn-sparsify)|\n", "2203.14359": "|[online meta-learning for hybrid model-based deep receivers](https://arxiv.org/abs/2203.14359)|[metadeepsic](https://github.com/tomerraviv95/metadeepsic)|\n", "2203.14907": "|[q-ppg: energy-efficient ppg-based heart rate monitoring on wearable devices](https://arxiv.org/abs/2203.14907)|[q-ppg](https://github.com/embeddedml-edagroup/q-ppg)|\n", "2203.14941": "|[neural vocoder is all you need for speech super-resolution](https://arxiv.org/abs/2203.14941)|[ssr_eval](https://github.com/haoheliu/ssr_eval)|\n"}, "2022-03-30": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2111.12066": "|[physics informed neural networks for control oriented thermal modeling of buildings](https://arxiv.org/abs/2111.12066)|[physnet_thermal_models](https://github.com/gargyagokhale/physnet_thermal_models)|\n", "2203.15147": "|[separate what you describe: language-queried audio source separation](https://arxiv.org/abs/2203.15147)|[lass](https://github.com/liuxubo717/lass)|\n", "2203.15250": "|[analysis of eeg frequency bands for envisioned speech recognition](https://arxiv.org/abs/2203.15250)|[imaginedspeechrecognition](https://github.com/ayushayt/imaginedspeechrecognition)|\n", "2203.15488": "|[over-the-air federated learning via second-order optimization](https://arxiv.org/abs/2203.15488)|[AirFL-2nd](https://github.com/Golden-Slumber/AirFL-2nd)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-03-31": {"2002.08108": "|[common information, matroid representation, and secret sharing for matroid ports](https://arxiv.org/abs/2002.08108)|[common-information-and-matroid-ports](https://github.com/bmilosh/common-information-and-matroid-ports)|\n", "2109.12497": "|[unbiased single-scale and multi-scale quantizers for distributed optimization](https://arxiv.org/abs/2109.12497)|[Gradient-Compression](https://github.com/vineeths96/Gradient-Compression)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n"}, "2022-04-01": {"2106.00404": "|[single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames](https://arxiv.org/abs/2106.00404)|[compressive_imaging_in_si_spaces](https://github.com/retiro/compressive_imaging_in_si_spaces)|\n", "2202.12650": "|[time-coded spiking fourier transform in neuromorphic hardware](https://arxiv.org/abs/2202.12650)|[time-coded-SFT](https://github.com/KI-ASIC-TUM/time-coded-SFT)|\n", "2203.16940": "|[direction of arrival estimation of sound sources using icosahedral cnns](https://arxiv.org/abs/2203.16940)|[icodoa](https://github.com/daviddiazguerra/icodoa)|\n", "2203.17024": "|[vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection](https://arxiv.org/abs/2203.17024)|[vqf](https://github.com/dlaidig/vqf)|\n", "2203.17028": "|[differentially private federated learning via reconfigurable intelligent surface](https://arxiv.org/abs/2203.17028)|[fl_privacy_blockcrossing](https://github.com/mengcongwo/fl_privacy_blockcrossing)|\n", "2203.17256": "|[lead1.0: a large-scale annotated dataset for energy anomaly detection in commercial buildings](https://arxiv.org/abs/2203.17256)|[lead-dataset](https://github.com/samy101/lead-dataset)|\n"}, "2022-04-02": {}, "2022-04-03": {}, "2022-04-04": {"2203.16114": "|[a fast transformer-based general-purpose lossless compressor](https://arxiv.org/abs/2203.16114)|[a-fast-transformer-based-general-purpose-losslesscompressor](https://github.com/mynotwo/a-fast-transformer-based-general-purpose-losslesscompressor)|\n", "2204.00148": "|[robust remote estimation over the collision channel in the presence of an intelligent jammer](https://arxiv.org/abs/2204.00148)|[cdc22](https://github.com/mullervasconcelos/cdc22)|\n"}, "2022-04-05": {"2010.09858": "|[vehicular visible light positioning for collision avoidance and platooning: a survey](https://arxiv.org/abs/2010.09858)|[vehicular-vlp-simulations](https://github.com/sonebu/vehicular-vlp-simulations)|\n", "2105.06293": "|[electrocardio panorama: synthesizing new ecg views with self-supervision](https://arxiv.org/abs/2105.06293)|[Electrocardio-Panorama](https://github.com/WhatAShot/Electrocardio-Panorama)|\n", "2109.02165": "|[fbdnn: filter banks and deep neural networks for portable and fast brain-computer interfaces](https://arxiv.org/abs/2109.02165)|[fbcnn](https://github.com/pedrorasb/fbcnn)|\n", "2111.07480": "|[power allocation for wireless federated learning using graph neural networks](https://arxiv.org/abs/2111.07480)|[wirelessfl-pdgnet](https://github.com/bl166/wirelessfl-pdgnet)|\n", "2204.00769": "|[variational message passing for online polynomial narmax identification](https://arxiv.org/abs/2204.00769)|[acc2022-vmpnarmax](https://github.com/biaslab/acc2022-vmpnarmax)|\n"}, "2022-04-06": {"2103.02215": "|[the generalized method of moments for multi-reference alignment](https://arxiv.org/abs/2103.02215)|[gmm-cryo](https://github.com/abasasa/gmm-cryo)|\n", "2104.04569": "|[patient contrastive learning: a performant, expressive, and practical approach to ecg modeling](https://arxiv.org/abs/2104.04569)|[ml4h](https://github.com/broadinstitute/ml4h)|\n", "2204.01731": "|[gan-based joint activity detection and channel estimation for grant-free random access](https://arxiv.org/abs/2204.01731)|[jadce](https://github.com/deeeeeeplearning/jadce)|\n"}, "2022-04-07": {"2203.03166": "|[hrtf measurement for accurate sound localization cues](https://arxiv.org/abs/2203.03166)|[hrtf-hats-kaist](https://github.com/han-saram/hrtf-hats-kaist)|\n", "2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-04-08": {"2204.01830": "|[wifieye -- seeing over wifi made accessible](https://arxiv.org/abs/2204.01830)|[wifieye](https://github.com/pkindt/wifieye)|\n", "2204.03272": "|[muleeg: a multi-view representation learning on eeg signals](https://arxiv.org/abs/2204.03272)|[muleeg](https://github.com/likith012/muleeg)|\n", "2204.03343": "|[binary spatial random field reconstruction from non-gaussian inhomogeneous time-series observations](https://arxiv.org/abs/2204.03343)|[WarpedGaussianProcesses](https://github.com/ShunanSheng/WarpedGaussianProcesses)|\n", "2204.03564": "|[rf signal transformation and classification using deep neural networks](https://arxiv.org/abs/2204.03564)|[rf_classification](https://github.com/umarkhalidcs/rf_classification)|\n", "2204.03316": "|[structured gradient descent for fast robust low-rank hankel matrix completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n"}, "2022-04-09": {}, "2022-04-10": {}, "2022-04-11": {"2105.07917": "|[cnn-based approaches for cross-subject classification in motor imagery: from the state-of-the-art to dynamicnet](https://arxiv.org/abs/2105.07917)|[Dynamic-PyTorch-Net](https://github.com/jesus-333/Dynamic-PyTorch-Net)|\n", "2111.08463": "|[multi-centroid hyperdimensional computing approach for epileptic seizure detection](https://arxiv.org/abs/2111.08463)|[](https://c4science.ch/source/MultiCentroidHD_public/)|\n", "2204.03711": "|[deconvolution of the functional ultrasound response in the mouse visual pathway using block-term decomposition](https://arxiv.org/abs/2204.03711)|[btd_deconv](https://github.com/ayerol/btd_deconv)|\n", "2204.04155": "|[design of an optimal testbed for tracking of tagged marine megafauna](https://arxiv.org/abs/2204.04155)|[receiver-deployment](https://github.com/kerentalmon/receiver-deployment)|\n", "2204.04170": "|[automatic data augmentation selection and parametrization in contrastive self-supervised speech representation learning](https://arxiv.org/abs/2204.04170)|[augmentations](https://github.com/salah-zaiem/augmentations)|\n", "2103.00078": "|[recovering or testing extended-affine equivalence](https://arxiv.org/abs/2103.00078)|[EA_equivalence_for_quadratic_functions](https://github.com/alaincouvreur/EA_equivalence_for_quadratic_functions)|\n"}, "2022-04-26": {"1912.12566": "|[experiments with mmwave automotive radar test-bed](https://arxiv.org/abs/1912.12566)|[mmWave-radar-signal-processing-and-microDoppler-classification](https://github.com/Xiangyu-Gao/mmWave-radar-signal-processing-and-microDoppler-classification)|\n", "2104.11467": "|[probabilistic rainfall estimation from automotive lidar](https://arxiv.org/abs/2104.11467)|[rainfall_modeling_open](https://github.com/tier4/rainfall_modeling_open)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2204.11626": "|[a ris-based passive doa estimation method for integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n"}, "2022-04-25": {"2204.10428": "|[sinr: deconvolving circular sas images using implicit neural representations](https://arxiv.org/abs/2204.10428)|[csas_deconvolution_inr](https://github.com/awreed/csas_deconvolution_inr)|\n"}, "2022-04-24": {}, "2022-04-23": {}, "2022-04-22": {"2204.09938": "|[ultra marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n"}, "2022-04-21": {"2010.11991": "|[atlas fusion -- modern framework for autonomous agent sensor data fusion](https://arxiv.org/abs/2010.11991)|[Atlas-Fusion](https://github.com/Robotics-BUT/Atlas-Fusion)|\n", "2106.15842": "|[dual aspect self-attention based on transformer for remaining useful life prediction](https://arxiv.org/abs/2106.15842)|[dast](https://github.com/zzzsdu/dast)|\n", "2201.00869": "|[rewis: reliable wi-fi sensing through few-shot multi-antenna multi-receiver csi learning](https://arxiv.org/abs/2201.00869)|[rewis](https://github.com/niloobah/rewis)|\n", "2203.14639": "|[syncnet: using causal convolutions and correlating objective for time delay estimation in audio signals](https://arxiv.org/abs/2203.14639)|[2022_syncnet](https://github.com/madhavlab/2022_syncnet)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2204.09599": "|[radiology text analysis system (radtext): architecture and evaluation](https://arxiv.org/abs/2204.09599)|[radtext](https://github.com/bionlplab/radtext)|\n"}, "2022-04-27": {"2107.04395": "|[block alternating bregman majorization minimization with extrapolation](https://arxiv.org/abs/2107.04395)|[BMME](https://github.com/LeThiKhanhHien/BMME)|\n", "2204.12432": "|[encoding cardiopulmonary exercise testing time series as images for classification using convolutional neural network](https://arxiv.org/abs/2204.12432)|[multivariatetimeseries](https://github.com/yashsharma/multivariatetimeseries)|\n"}, "2022-04-28": {"2007.07679": "|[1-bit compressive sensing via approximate message passing with built-in parameter estimation](https://arxiv.org/abs/2007.07679)|[1Bit-CS](https://github.com/shuai-huang/1Bit-CS)|\n", "2108.10213": "|[salience: an unsupervised user adaptation model for multiple wearable sensors based human activity recognition](https://arxiv.org/abs/2108.10213)|[SALIENCE](https://github.com/wdkhuans/SALIENCE)|\n", "2110.00306": "|[leveraging power grid topology in machine learning assisted optimal power flow](https://arxiv.org/abs/2110.00306)|[MLOPF.jl](https://github.com/tdfalc/MLOPF.jl)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n"}, "2022-04-29": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2204.13465": "|[attention based neural networks for wireless channel estimation](https://arxiv.org/abs/2204.13465)|[Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation](https://github.com/dianixn/Attention_Based_Neural_Networks_for_Wireless_Channel_Estimation)|\n", "2204.13424": "|[interpretable collective intelligence of non-rational human agents](https://arxiv.org/abs/2204.13424)|[collective-intelligence-research](https://github.com/nicknick85/collective-intelligence-research)|\n"}, "2022-04-30": {}, "2022-05-01": {}, "2022-05-02": {"2011.08981": "|[ramp-cnn: a novel neural network for enhanced automotive radar object recognition](https://arxiv.org/abs/2011.08981)|[radar-multiple-perspective-object-detection](https://github.com/xiangyu-gao/radar-multiple-perspective-object-detection)|\n", "2110.02878": "|[an investigation of the effectiveness of phase for audio classification](https://arxiv.org/abs/2110.02878)|[investigation-phase](https://github.com/onkyo14taro/investigation-phase)|\n", "2104.08685": "|[linguistic dependencies and statistical dependence](https://arxiv.org/abs/2104.08685)|[cpmi-dependencies](https://github.com/mcqll/cpmi-dependencies)|\n"}, "2022-05-03": {"2102.11895": "|[mgait: model-based gait analysis using wearable bend and inertial sensors](https://arxiv.org/abs/2102.11895)|[mgait](https://github.com/sizhean/mgait)|\n", "2205.00222": "|[storseismic: a new paradigm in deep learning for seismic processing](https://arxiv.org/abs/2205.00222)|[storseismic](https://github.com/swag-kaust/storseismic)|\n", "2205.00348": "|[end-to-end signal classification in signed cumulative distribution transform space](https://arxiv.org/abs/2205.00348)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2205.01030": "|[gmss: graph-based multi-task self-supervised learning for eeg emotion recognition](https://arxiv.org/abs/2205.01030)|[gmss](https://github.com/chen-xdu/gmss)|\n", "2110.06986": "|[admm-dad net: a deep unfolding network for analysis compressed sensing](https://arxiv.org/abs/2110.06986)|[ADMM-DAD](https://github.com/vicky-k-19/ADMM-DAD)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n", "2205.00477": "|[ridgeless regression with random features](https://arxiv.org/abs/2205.00477)|[ridgeless-regression-with-random-features](https://github.com/superlj666/ridgeless-regression-with-random-features)|\n"}, "2022-05-04": {"2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2012.12298": "|[zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge](https://arxiv.org/abs/2012.12298)|[gwhf](https://github.com/gkoliander/gwhf)|\n", "2205.01607": "|[modeling and correcting bias in sequential evaluation](https://arxiv.org/abs/2205.01607)|[sequential-bias](https://github.com/jingyanw/sequential-bias)|\n"}, "2022-05-05": {"2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "1906.12072": "|[multiple testing and variable selection along the path of the least angle regression](https://arxiv.org/abs/1906.12072)|[lar_testing](https://github.com/ydecastro/lar_testing)|\n", "2112.13079": "|[aligning random graphs with a sub-tree similarity message-passing algorithm](https://arxiv.org/abs/2112.13079)|[graph_alignment](https://github.com/giovannipiccioli/graph_alignment)|\n"}, "2022-05-06": {"2106.09327": "|[minimax estimation of partially-observed vector autoregressions](https://arxiv.org/abs/2106.09327)|[POVAR.jl](https://github.com/gdalle/POVAR.jl)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-05-07": {}, "2022-05-08": {}, "2022-05-09": {"2104.05614": "|[a dynamic response recovery framework using ambient synchrophasor data](https://arxiv.org/abs/2104.05614)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n", "2202.00129": "|[fundamental performance limits for sensor-based robot control and policy learning](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n"}, "2022-05-10": {"2106.15276": "|[using a drone sounder to measure channels for cell-free massive mimo systems](https://arxiv.org/abs/2106.15276)|[CF-mMIMO](https://github.com/tomathchoi/CF-mMIMO)|\n", "2205.03812": "|[hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels](https://arxiv.org/abs/2205.03812)|[DPGMM-Channel-Modelling](https://github.com/erhankarakoca/DPGMM-Channel-Modelling)|\n", "2205.03343": "|[far from asymptopia](https://arxiv.org/abs/2205.03343)|[atomicpriors.jl](https://github.com/mcabbott/atomicpriors.jl)|\n"}, "2022-05-11": {"2105.01696": "|[learning to continuously optimize wireless resource in a dynamic environment: a bilevel optimization perspective](https://arxiv.org/abs/2105.01696)|[TSP_CL](https://github.com/Haoran-S/TSP_CL)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[aoienergyuavtraopt](https://github.com/yuanliaoo/aoienergyuavtraopt)|\n", "2205.03665": "|[variational sparse coding with learned thresholding](https://arxiv.org/abs/2205.03665)|[variational-sparse-coding](https://github.com/kfallah/variational-sparse-coding)|\n", "2205.03673": "|[gridwarm: towards practical physics-informed ml design and evaluation for power grid](https://arxiv.org/abs/2205.03673)|[gridwarm](https://github.com/ohcindy/gridwarm)|\n", "2205.03793": "|[pervasive machine learning for smart radio environments enabled by reconfigurable intelligent surfaces](https://arxiv.org/abs/2205.03793)|[drl_ris_tutorial](https://github.com/noesyslab/drl_ris_tutorial)|\n", "2012.12298": "|[zeros of gaussian weyl-heisenberg functions and hyperuniformity of charge](https://arxiv.org/abs/2012.12298)|[gwhf](https://github.com/gkoliander/gwhf)|\n", "2205.04860": "|[universal caching](https://arxiv.org/abs/2205.04860)|[universalcaching](https://github.com/ativjoshi/universalcaching)|\n"}, "2022-05-12": {"2202.05158": "|[advanced sleep spindle identification with neural networks](https://arxiv.org/abs/2202.05158)|[sumo](https://github.com/dslaborg/sumo)|\n", "2205.05269": "|[intelligent reflecting surface configurations for smart radio using deep reinforcement learning](https://arxiv.org/abs/2205.05269)|[irsconfigurationdrl](https://github.com/weiwang-wys/irsconfigurationdrl)|\n", "2205.05474": "|[deepfilternet2: towards real-time speech enhancement on embedded devices for full-band audio](https://arxiv.org/abs/2205.05474)|[deepfilternet](https://github.com/rikorose/deepfilternet)|\n"}, "2022-05-13": {"2205.05776": "|[annealed langevin dynamics for massive mimo detection](https://arxiv.org/abs/2205.05776)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2010.04844": "|[how well does surprisal explain n400 amplitude under different experimental conditions?](https://arxiv.org/abs/2010.04844)|[does-surprisal-explain-n400](https://github.com/jmichaelov/does-surprisal-explain-n400)|\n"}, "2022-05-14": {}, "2022-05-15": {}, "2022-05-16": {"2110.14034": "|[r-local sensing: improved algorithm and applications](https://arxiv.org/abs/2110.14034)|[proximal-alt-min-for-uls-udgp](https://github.com/aabbas02/proximal-alt-min-for-uls-udgp)|\n", "2205.06306": "|[probabilistic estimation of chirp instantaneous frequency using gaussian processes](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2205.06471": "|[data-driven upper bounds on channel capacity](https://arxiv.org/abs/2205.06471)|[upper_capacity_bounds](https://github.com/chaeger/upper_capacity_bounds)|\n"}, "2022-05-17": {"2105.06765": "|[two-dimensional multi-target detection: an autocorrelation analysis approach](https://arxiv.org/abs/2105.06765)|[MTD-2D](https://github.com/krshay/MTD-2D)|\n", "2109.11813": "|[generalized autocorrelation analysis for multi-target detection](https://arxiv.org/abs/2109.11813)|[mtd-gmm](https://github.com/krshay/mtd-gmm)|\n", "2110.02289": "|[an approximate expectation-maximization for two-dimensional multi-target detection](https://arxiv.org/abs/2110.02289)|[mtd-2d-em](https://github.com/krshay/mtd-2d-em)|\n", "2202.03129": "|[over-the-air ensemble inference with model privacy](https://arxiv.org/abs/2202.03129)|[oac-based-private-ensembles](https://github.com/selimfirat/oac-based-private-ensembles)|\n", "2103.00078": "|[recovering or testing extended-affine equivalence](https://arxiv.org/abs/2103.00078)|[EA_equivalence_for_quadratic_functions](https://github.com/alaincouvreur/EA_equivalence_for_quadratic_functions)|\n", "2111.08159": "|[hybrid beam alignment for multi-path channels: a group testing viewpoint](https://arxiv.org/abs/2111.08159)|[beamforming](https://github.com/ozleemyildiz/beamforming)|\n", "2202.03352": "|[analog secure distributed matrix multiplication over complex numbers](https://arxiv.org/abs/2202.03352)|[sdmm-over-complex](https://github.com/okkomakkonen/sdmm-over-complex)|\n", "2205.07061": "|[mind: maximum mutual information based neural decoder](https://arxiv.org/abs/2205.07061)|[mind-neural-decoder](https://github.com/tonellolab/mind-neural-decoder)|\n"}, "2022-05-18": {"1904.13216": "|[signal2image modules in deep neural networks for eeg classification](https://arxiv.org/abs/1904.13216)|[signal2image-modules-in-deep-neural-networks-for-eeg-classification](https://github.com/pbizopoulos/signal2image-modules-in-deep-neural-networks-for-eeg-classification)|\n", "1911.06382": "|[r-local unlabeled sensing: a novel graph matching approach for multiview unlabeled sensing under local permutations](https://arxiv.org/abs/1911.06382)|[QAP-for-ULS](https://github.com/aabbas02/QAP-for-ULS)|\n", "2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2205.07869": "|[near out-of-distribution detection for low-resolution radar micro-doppler signatures](https://arxiv.org/abs/2205.07869)|[doppler-signatures-generation](https://github.com/blupblupblup/doppler-signatures-generation)|\n"}, "2022-05-19": {"2109.05536": "|[link scheduling using graph neural networks](https://arxiv.org/abs/2109.05536)|[distgcn](https://github.com/zhongyuanzhao/distgcn)|\n", "2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/y2w-oc/robust-photon-efficient-imaging-using-prsnet)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n", "2202.02557": "|[lower-bounds on the bayesian risk in estimation procedures via $f$-divergences](https://arxiv.org/abs/2202.02557)|[f_divergences_lower_bounds](https://github.com/Adirlou/f_divergences_lower_bounds)|\n"}, "2022-05-20": {"2105.10699": "|[denoising noisy neural networks: a bayesian approach with compensation](https://arxiv.org/abs/2105.10699)|[NoisyNN](https://github.com/lynshao/NoisyNN)|\n"}, "2022-05-21": {}, "2022-05-22": {}, "2022-05-23": {"2205.09959": "|[a subspace method for time series anomaly detection in cyber-physical systems](https://arxiv.org/abs/2205.09959)|[pad](https://github.com/carlosjva/pad)|\n", "2106.07785": "|[multivariate public key cryptosystem from sidon spaces](https://arxiv.org/abs/2106.07785)|[Sidon-Cryptosystem](https://github.com/b-langton/Sidon-Cryptosystem)|\n", "2201.02664": "|[optimizing the communication-accuracy trade-off in federated learning with rate-distortion theory](https://arxiv.org/abs/2201.02664)|[compressed_communication](https://github.com/google-research/federated/tree/1b31b84/compressed_communication)|\n"}, "2022-05-24": {"2205.09054": "|[position aided beam prediction in the real world: how useful gps locations actually are?](https://arxiv.org/abs/2205.09054)|[position-beam-prediction](https://github.com/jmoraispk/position-beam-prediction)|\n", "2205.10448": "|[approximate message passing with parameter estimation for heavily quantized measurements](https://arxiv.org/abs/2205.10448)|[1Bit-CS](https://github.com/shuai-huang/1Bit-CS)|\n", "2205.10807": "|[antenna selection in switch-based mimo arrays via doa threshold region approximation](https://arxiv.org/abs/2205.10807)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.10684": "|[neural augmented min-sum decoding of short block codes for fading channels](https://arxiv.org/abs/2205.10684)|[nams](https://github.com/sravan-ankireddy/nams)|\n"}, "2022-05-25": {"2110.08581": "|[a tutorial on terahertz-band localization for 6g communication systems](https://arxiv.org/abs/2110.08581)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.03673": "|[towards practical physics-informed ml design and evaluation for power grid](https://arxiv.org/abs/2205.03673)|[gridwarm](https://github.com/ohcindy/gridwarm)|\n", "2205.10750": "|[multi-agent feedback enabled neural networks for intelligent communications](https://arxiv.org/abs/2205.10750)|[MAFENN_TRANS_2022](https://github.com/liyang619/MAFENN_TRANS_2022)|\n"}, "2022-05-26": {"2205.12445": "|[over-the-air design of gan training for mmwave mimo channel estimation](https://arxiv.org/abs/2205.12445)|[ota-gan-mimo-ce](https://github.com/akashsdoshi96/ota-gan-mimo-ce)|\n", "2205.12577": "|[a real-world radio frequency signal dataset based on lte system and variable channels](https://arxiv.org/abs/2205.12577)|[xsrpdataset](https://github.com/njuptzsp/xsrpdataset)|\n", "2205.12781": "|[ultra-compact binary neural networks for human activity recognition on risc-v processors](https://arxiv.org/abs/2205.12781)|[ultracompactbnn](https://github.com/francescodaghero/ultracompactbnn)|\n"}, "2022-05-27": {"2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n"}, "2022-05-28": {}, "2022-05-29": {}, "2022-05-30": {"2205.13653": "|[a semidefinite relaxation for sums of heterogeneous quadratics on the stiefel manifold](https://arxiv.org/abs/2205.13653)|[sums-of-heterogeneous-quadratics](https://github.com/kgilman/sums-of-heterogeneous-quadratics)|\n", "2205.14102": "|[generalizing brain decoding across subjects with deep learning](https://arxiv.org/abs/2205.14102)|[meg-group-decode](https://github.com/ricsinaruto/meg-group-decode)|\n", "2205.13941": "|[auditing differential privacy in high dimensions with the kernel quantum r\\'enyi divergence](https://arxiv.org/abs/2205.13941)|[kernel_renyi_dp](https://github.com/cdenrich/kernel_renyi_dp)|\n"}, "2022-05-31": {"2205.14308": "|[transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots](https://arxiv.org/abs/2205.14308)|[transferlearningbasedcebydnsp](https://github.com/leiunnn/transferlearningbasedcebydnsp)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n"}, "2022-06-01": {"2205.15271": "|[metassd: meta-learned self-supervised detection](https://arxiv.org/abs/2205.15271)|[metassd](https://github.com/ml-postech/metassd)|\n", "2205.15417": "|[channel model mismatch analysis for xl-mimo systems from a localization perspective](https://arxiv.org/abs/2205.15417)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2205.15508": "|[rethinking graph neural networks for anomaly detection](https://arxiv.org/abs/2205.15508)|[rethinking-anomaly-detection](https://github.com/squareroot3/rethinking-anomaly-detection)|\n", "2205.15674": "|[generalised implicit neural representations](https://arxiv.org/abs/2205.15674)|[ginr](https://github.com/danielegrattarola/ginr)|\n", "2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n"}, "2022-06-02": {"2102.07737": "|[zero-shot self-supervised learning for mri reconstruction](https://arxiv.org/abs/2102.07737)|[ZS-SSL](https://github.com/byaman14/ZS-SSL)|\n", "2112.01583": "|[the representation jensen-r\\'enyi divergence](https://arxiv.org/abs/2112.01583)|[jensen-renyi-divergence](https://github.com/uk-cliplab/jensen-renyi-divergence)|\n"}, "2022-06-03": {"2204.04155": "|[design of an optimal testbed for tracking of tagged marine megafauna](https://arxiv.org/abs/2204.04155)|[receiver-deployment](https://github.com/kerentalmon/receiver-deployment)|\n"}, "2022-06-04": {}, "2022-06-05": {}, "2022-06-06": {"2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n", "2202.02812": "|[lossy gradient compression: how much accuracy can one bit buy?](https://arxiv.org/abs/2202.02812)|[fl_rd](https://github.com/sadafsk/fl_rd)|\n", "2206.01295": "|[rashomon capacity: a metric for predictive multiplicity in probabilistic classification](https://arxiv.org/abs/2206.01295)|[rashomon-capacity](https://github.com/hsianghsu/rashomon-capacity)|\n"}, "2022-06-07": {"2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n", "2105.13302": "|[characterizing the slope trade-off: a variational perspective and the donoho-tanner limit](https://arxiv.org/abs/2105.13302)|[SLOPE_AMP](https://github.com/woodyx218/SLOPE_AMP)|\n", "2106.15190": "|[dcase 2021 task 3: spectrotemporally-aligned features for polyphonic sound event localization and detection](https://arxiv.org/abs/2106.15190)|[SALSA](https://github.com/thomeou/SALSA)|\n", "2109.10581": "|[da-music: data-driven doa estimation via deep augmented music algorithm](https://arxiv.org/abs/2109.10581)|[tsp22](https://github.com/da-music/tsp22)|\n", "2206.02298": "|[mical: mutual information-based cnn-aided learned factor](https://arxiv.org/abs/2206.02298)|[cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical](https://github.com/bsalafia/cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical)|\n", "1904.08576": "|[on low-rank trace regression under general sampling distribution](https://arxiv.org/abs/1904.08576)|[cv-impute](https://github.com/mohsenbayati/cv-impute)|\n", "2112.01077": "|[blind super-resolution of point sources via projected gradient descent](https://arxiv.org/abs/2112.01077)|[pgdvhl](https://github.com/jcchen2017/pgdvhl)|\n", "2204.12796": "|[supervised contrastive csi representation learning for massive mimo positioning](https://arxiv.org/abs/2204.12796)|[SupConCSI](https://github.com/dengjunquan/SupConCSI)|\n", "2206.02274": "|[an information upper bound for probability sensitivity](https://arxiv.org/abs/2206.02274)|[ProbSensitivityInfoBound](https://github.com/longitude-jyang/ProbSensitivityInfoBound)|\n", "2206.02340": "|[minimizing the expected posterior entropy yields optimal summary statistics](https://arxiv.org/abs/2206.02340)|[summaries](https://github.com/tillahoffmann/summaries)|\n"}, "2022-06-08": {"2103.08711": "|[extreme compressed sensing of poisson rates from multiple measurements](https://arxiv.org/abs/2103.08711)|[SPoRe](https://github.com/pavankkota/SPoRe)|\n", "2106.03822": "|[energy and age pareto optimal trajectories in uav-assisted wireless data collection](https://arxiv.org/abs/2106.03822)|[aoienergyuavtraopt](https://github.com/yuanliaoo/aoienergyuavtraopt)|\n", "2206.02909": "|[self-supervised learning for human activity recognition using 700,000 person-days of wearable data](https://arxiv.org/abs/2206.02909)|[ssl-wearables](https://github.com/OxWearables/ssl-wearables)|\n", "2206.02972": "|[decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics](https://arxiv.org/abs/2206.02972)|[dLDS-Discrete-Python-Model](https://github.com/dLDS-Decomposed-Linear-Dynamics/dLDS-Discrete-Python-Model)|\n", "2206.03165": "|[decentralized low-latency collaborative inference via ensembles on the edge](https://arxiv.org/abs/2206.03165)|[ensembles-on-the-edge](https://github.com/maymalka10/ensembles-on-the-edge)|\n", "2206.03369": "|[computational doob's $h$-transforms for online filtering of discretely observed diffusions](https://arxiv.org/abs/2206.03369)|[CompDoobTransform](https://github.com/jeremyhengjm/CompDoobTransform)|\n"}, "2022-06-09": {"2206.03630": "|[technical report (v1.0)--pseudo-random cartesian sampling for dynamic mri](https://arxiv.org/abs/2206.03630)|[cmr-sampling](https://github.com/mihirjoe/cmr-sampling)|\n", "2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-06-10": {"2206.04447": "|[convolutional dictionary learning by end-to-end training of iterative neural networks](https://arxiv.org/abs/2206.04447)|[convsparsitynns](https://github.com/koflera/convsparsitynns)|\n", "2112.13079": "|[aligning random graphs with a sub-tree similarity message-passing algorithm](https://arxiv.org/abs/2112.13079)|[graph_alignment](https://github.com/giovannipiccioli/graph_alignment)|\n"}, "2022-06-11": {}, "2022-06-12": {}, "2022-06-13": {"2206.05049": "|[denoising generalized expectation-consistent approximation for mri image recovery](https://arxiv.org/abs/2206.05049)|[corr-plus-corr](https://github.com/saurav-k-shastri/corr-plus-corr)|\n"}, "2022-06-14": {"2108.12314": "|[multiple hypothesis testing framework for spatial signals](https://arxiv.org/abs/2108.12314)|[lfdr-smom](https://github.com/mgoelz95/lfdr-smom)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2201.04756": "|[roadside lidar vehicle detection and tracking using range and intensity background subtraction](https://arxiv.org/abs/2201.04756)|[roadside-lidar-vehicle-detection-and-tracking-background-subtraction](https://github.com/teryzh/roadside-lidar-vehicle-detection-and-tracking-background-subtraction)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2206.05937": "|[data-driven denoising of accelerometer signals](https://arxiv.org/abs/2206.05937)|[MEMS-IMU-Denoising](https://github.com/ansfl/MEMS-IMU-Denoising)|\n", "2206.06011": "|[reinforcement learning-based placement of charging stations in urban road networks](https://arxiv.org/abs/2206.06011)|[pcrl](https://github.com/ashusao/pcrl)|\n", "2206.06172": "|[ris-admm: an admm-based passive and sparse sensing method with interference removal](https://arxiv.org/abs/2206.06172)|[ris-admm](https://github.com/chenpengseu/ris-admm)|\n", "2204.09938": "|[ultra-marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n"}, "2022-06-15": {"2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-06-16": {"2206.07083": "|[learning the structure of large networked systems obeying conservation laws](https://arxiv.org/abs/2206.07083)|[slnscl](https://github.com/anirudhrayas/slnscl)|\n", "2206.07404": "|[on the relationship between ground- and satellite- based global horizontal irradiance](https://arxiv.org/abs/2206.07404)|[solarsatground](https://github.com/ydjoel/solarsatground)|\n", "2206.07405": "|[paramnet: a multi-layer parametric network for joint channel estimation and symbol detection](https://arxiv.org/abs/2206.07405)|[ParamNET](https://github.com/vincentchoqueuse/ParamNET)|\n", "2206.07122": "|[loss functions for classification using structured entropy](https://arxiv.org/abs/2206.07122)|[resources](https://github.com/numeristical/resources)|\n"}, "2022-06-17": {"2105.07372": "|[an accelerated expectation-maximization algorithm for multi-reference alignment](https://arxiv.org/abs/2105.07372)|[synch-em](https://github.com/noamjanco/synch-em)|\n", "2107.13473": "|[the portiloop: a deep learning-based open science tool for closed-loop brain stimulation](https://arxiv.org/abs/2107.13473)|[portiloop](https://github.com/mistlab/portiloop)|\n", "2205.12577": "|[a real-world radio frequency signal dataset based on lte system and variable channels](https://arxiv.org/abs/2205.12577)|[xsrpdataset](https://github.com/njuptzsp/xsrpdataset)|\n", "2206.07784": "|[evaluating short-term forecasting of multiple time series in iot environments](https://arxiv.org/abs/2206.07784)|[multiple-timeseries-forecasting](https://github.com/pcharala/multiple-timeseries-forecasting)|\n"}, "2022-06-18": {}, "2022-06-19": {}, "2022-06-20": {"2206.08703": "|[plotly-resampler: effective visual analytics for large time series](https://arxiv.org/abs/2206.08703)|[plotly-resampler](https://github.com/predict-idlab/plotly-resampler)|\n", "2206.08869": "|[fast lossless neural compression with integer-only discrete flows](https://arxiv.org/abs/2206.08869)|[iodf](https://github.com/thu-ml/iodf)|\n"}, "2022-06-21": {}, "2022-06-22": {"1911.07316": "|[channel estimation in massive mimo under hardware non-linearities: bayesian methods versus deep learning](https://arxiv.org/abs/1911.07316)|[deep-learning-channel-estimation](https://github.com/emilbjornson/deep-learning-channel-estimation)|\n", "2011.03466": "|[real-time noise cancellation with deep learning](https://arxiv.org/abs/2011.03466)|[deepNeuronalFilter](https://github.com/berndporr/deepNeuronalFilter)|\n", "2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "2112.01857": "|[disentangling modes with crossover instantaneous frequencies by synchrosqueezed chirplet transforms, from theory to application](https://arxiv.org/abs/2112.01857)|[synchrosqueezed-chirplet-transforms](https://github.com/ziyuchen7/synchrosqueezed-chirplet-transforms)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2204.00465": "|[deep neural convolutive matrix factorization for articulatory representation decomposition](https://arxiv.org/abs/2204.00465)|[ema_gesture](https://github.com/berkeley-speech-group/ema_gesture)|\n", "2206.10209": "|[propagation of measurement and model uncertainties through multiline trl calibration](https://arxiv.org/abs/2206.10209)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2206.10377": "|[can we trust our energy measurements? a study on the odroid-xu4](https://arxiv.org/abs/2206.10377)|[energymeasurementanalysis](https://bitbucket.org/uva-sne/energymeasurementanalysis)|\n", "2206.10499": "|[a learning aided gradient descent for miso beamforming](https://arxiv.org/abs/2206.10499)|[lagd](https://github.com/xiagroup/lagd)|\n", "2011.07932": "|[combating the instability of mutual information-based losses via regularization](https://arxiv.org/abs/2011.07932)|[deconstructing-mine](https://github.com/siyeong-lee/deconstructing-mine)|\n"}, "2022-06-23": {"2104.14526": "|[scaling and scalability: provable nonconvex low-rank tensor estimation from incomplete measurements](https://arxiv.org/abs/2104.14526)|[ScaledGD](https://github.com/Titan-Tong/ScaledGD)|\n", "2206.10592": "|[identifying electrocardiogram abnormalities using a handcrafted-rule-enhanced neural network](https://arxiv.org/abs/2206.10592)|[ecg_processing](https://github.com/alwaysbyx/ecg_processing)|\n", "2206.10909": "|[model-driven deep learning-based mimo-ofdm detector: design, simulation, and experimental results](https://arxiv.org/abs/2206.10909)|[cg-oamp-net](https://github.com/starainz/cg-oamp-net)|\n", "2107.00853": "|[adaptive regularized zero-forcing beamforming in massive mimo with multi-antenna users](https://arxiv.org/abs/2107.00853)|[Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users](https://github.com/eugenbobrov/Adaptive-Regularized-Zero-Forcing-Beamforming-in-Massive-MIMO-with-Multi-Antenna-Users)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n", "2206.10685": "|[differentially private maximal information coefficients](https://arxiv.org/abs/2206.10685)|[dp-mic](https://github.com/jlazarsfeld/dp-mic)|\n", "2206.10968": "|[beating the sum-rate capacity of the binary adder channel with non-signaling correlations](https://arxiv.org/abs/2206.10968)|[mac_ns_lp](https://github.com/pferme/mac_ns_lp)|\n"}, "2022-06-24": {"2102.13284": "|[a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2108.02688": "|[a nonlinear beamforming for enhanced spatiotemporal sensitivity in high frame rate ultrasound flow imaging](https://arxiv.org/abs/2108.02688)|[nonlinear_beamforming](https://github.com/madhavanunni/nonlinear_beamforming)|\n", "2112.03651": "|[vehif: an accessible vegetation high-impedance fault data set format](https://arxiv.org/abs/2112.03651)|[hif_vegetation_data](https://github.com/dougpsg/hif_vegetation_data)|\n", "2108.07759": "|[arbitrary-length analogs to de bruijn sequences](https://arxiv.org/abs/2108.07759)|[pkl](https://github.com/nelloreward/pkl)|\n"}, "2022-06-25": {}, "2022-06-26": {}, "2022-06-27": {"2102.05433": "|[a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization](https://arxiv.org/abs/2102.05433)|[iADMM](https://github.com/nhatpd/iADMM)|\n", "2206.11976": "|[frame-type sensitive rdo control for content-adaptive-encoding](https://arxiv.org/abs/2206.11976)|[icip2022](https://gitlab.com/mindfreeze/icip2022)|\n", "2206.12078": "|[multi-modal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data](https://arxiv.org/abs/2206.12078)|[animal_behavior_classification_acc_gnss](https://github.com/reza219/animal_behavior_classification_acc_gnss)|\n", "2206.12097": "|[deep-learning-aided distributed clock synchronization for wireless networks](https://arxiv.org/abs/2206.12097)|[distributed-dnn-aided-time-synchronization](https://github.com/emekagdswill/distributed-dnn-aided-time-synchronization)|\n", "1909.02102": "|[accelerated information gradient flow](https://arxiv.org/abs/1909.02102)|[Accelerated-Information-Gradient-flow](https://github.com/YiifeiWang/Accelerated-Information-Gradient-flow)|\n", "2206.12327": "|[source localization of graph diffusion via variational autoencoders for graph inverse problems](https://arxiv.org/abs/2206.12327)|[slvae](https://github.com/triplej0079/slvae)|\n", "2206.12336": "|[deep generation of heterogeneous networks](https://arxiv.org/abs/2206.12336)|[hgen](https://github.com/lingchen0331/hgen)|\n"}, "2022-06-28": {"2010.16386": "|[audio dequantization using (co)sparse (non)convex methods](https://arxiv.org/abs/2010.16386)|[audio_dequantization](https://github.com/zawi01/audio_dequantization)|\n", "2206.09381": "|[graph neural network aided mu-mimo detectors](https://arxiv.org/abs/2206.09381)|[GNN-based-MIMO-Detection](https://github.com/GNN-based-MIMO-Detection/GNN-based-MIMO-Detection)|\n", "2206.13370": "|[adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma](https://arxiv.org/abs/2206.13370)|[uav-noma-adm](https://github.com/thanhluannguyen/uav-noma-adm)|\n", "2109.12070": "|[a unified treatment of partial stragglers and sparse matrices in coded matrix computation](https://arxiv.org/abs/2109.12070)|[unifiedtreatment](https://github.com/anindyabijoydas/unifiedtreatment)|\n", "2206.12509": "|[mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri](https://arxiv.org/abs/2206.12509)|[hyperpolarizedmri](https://github.com/prashjha/hyperpolarizedmri)|\n"}, "2022-06-29": {"2202.04365": "|[aivc: artificial intelligence based video codec](https://arxiv.org/abs/2202.04365)|[AIVC](https://github.com/Orange-OpenSource/AIVC)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n"}, "2022-06-30": {"2201.01453": "|[robust photon-efficient imaging using a pixel-wise residual shrinkage network](https://arxiv.org/abs/2201.01453)|[robust-photon-efficient-imaging-using-prsnet](https://github.com/y2w-oc/robust-photon-efficient-imaging-using-prsnet)|\n", "2206.14752": "|[correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency](https://arxiv.org/abs/2206.14752)|[Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO](https://github.com/rnissel/Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO)|\n", "2005.01699": "|[depth-2 neural networks under a data-poisoning attack](https://arxiv.org/abs/2005.01699)|[neurotron_experiments](https://github.com/papamarkou/neurotron_experiments)|\n"}, "2022-07-01": {"2110.03345": "|[stride: a flexible platform for high-performance ultrasound computed tomography](https://arxiv.org/abs/2110.03345)|[stride](https://github.com/trustimaging/stride)|\n", "2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2206.10209": "|[propagation of measurement and model uncertainties through multiline trl calibration](https://arxiv.org/abs/2206.10209)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2002.12873": "|[federated over-air subspace tracking from incomplete and corrupted data](https://arxiv.org/abs/2002.12873)|[distributed-pca](https://github.com/praneethmurthy/distributed-pca)|\n"}, "2022-07-02": {}, "2022-07-03": {}, "2022-07-04": {}, "2022-07-05": {"2207.00860": "|[hardware architecture for high throughput event visual data filtering with matrix of iir filters algorithm](https://arxiv.org/abs/2207.00860)|[dvs_filtermatrixiir](https://github.com/vision-agh/dvs_filtermatrixiir)|\n", "2207.01110": "|[learning noise with generative adversarial networks: explorations with classical random process models](https://arxiv.org/abs/2207.01110)|[noisegan](https://github.com/usnistgov/noisegan)|\n", "2207.01391": "|[task-oriented self-supervised learning for anomaly detection in electroencephalography](https://arxiv.org/abs/2207.01391)|[eeg-ad](https://github.com/ironing/eeg-ad)|\n", "2207.01556": "|[semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation](https://arxiv.org/abs/2207.01556)|[audio-samples2](https://github.com/chengguoliang0/audio-samples2)|\n", "2106.06438": "|[encoding of probability distributions for asymmetric numeral systems](https://arxiv.org/abs/2106.06438)|[AsymmetricNumeralSystemsToolkit](https://github.com/JarekDuda/AsymmetricNumeralSystemsToolkit)|\n"}, "2022-07-06": {"2205.07869": "|[near out-of-distribution detection for low-resolution radar micro-doppler signatures](https://arxiv.org/abs/2205.07869)|[near-ood-doppler-signatures](https://github.com/blupblupblup/near-ood-doppler-signatures)|\n", "2207.01707": "|[identification of distorted rf components via deep multi-task learning](https://arxiv.org/abs/2207.01707)|[hardware-problem-identification](https://github.com/mehmetaaygul/hardware-problem-identification)|\n", "2202.00159": "|[content addressable memory without catastrophic forgetting by heteroassociation with a fixed scaffold](https://arxiv.org/abs/2202.00159)|[mesh](https://github.com/fietelab/mesh)|\n", "2205.01607": "|[modeling and correcting bias in sequential evaluation](https://arxiv.org/abs/2205.01607)|[sequential-bias](https://github.com/jingyanw/sequential-bias)|\n"}, "2022-07-07": {"2207.02242": "|[state-augmented learnable algorithms for resource management in wireless networks](https://arxiv.org/abs/2207.02242)|[stateaugmented_rrm_gnn](https://github.com/navid-naderi/stateaugmented_rrm_gnn)|\n"}, "2022-07-08": {"2201.06804": "|[visual sensor network stimulation model identification via gaussian mixture model and deep embedded features](https://arxiv.org/abs/2201.06804)|[vsn-with-ae](https://github.com/luca-varotto/vsn-with-ae)|\n", "2207.02916": "|[variance in classifying affective state via electrocardiogram and photoplethysmography](https://arxiv.org/abs/2207.02916)|[emo_phys_eval](https://github.com/zacdair/emo_phys_eval)|\n", "2207.02982": "|[morpi: mobile robot pure inertial navigation](https://arxiv.org/abs/2207.02982)|[morpi](https://github.com/ansfl/morpi)|\n", "2011.14753": "|[topologically driven methods for construction of multi-edge type (multigraph with nodes puncturing) quasi-cyclic low-density parity-check codes for wireless channel, wdm long-haul and archival holographic memory](https://arxiv.org/abs/2011.14753)|[trapping-sets-enumeration](https://github.com/Lcrypto/trapping-sets-enumeration)|\n"}, "2022-07-09": {}, "2022-07-10": {}, "2022-07-11": {"2206.12509": "|[mutual-information based optimal experimental design for hyperpolarized $^{13}$c-pyruvate mri](https://arxiv.org/abs/2206.12509)|[hyperpolarizedmri](https://github.com/prashjha/hyperpolarizedmri)|\n"}, "2022-07-12": {"2104.06706": "|[towards off-the-grid algorithms for total variation regularized inverse problems](https://arxiv.org/abs/2104.06706)|[tvsfw](https://github.com/rpetit/tvsfw)|\n", "2206.11976": "|[frame-type sensitive rdo control for content-adaptive-encoding](https://arxiv.org/abs/2206.11976)|[icip2022](https://gitlab.com/mindfreeze/icip2022)|\n", "1908.11221": "|[multi-channel deep networks for block-based image compressive sensing](https://arxiv.org/abs/1908.11221)|[deepbcs](https://github.com/siwangzhou/deepbcs)|\n", "2206.02274": "|[an information upper bound for probability sensitivity](https://arxiv.org/abs/2206.02274)|[ProbSensitivityInfoBound](https://github.com/longitude-jyang/ProbSensitivityInfoBound)|\n", "2207.04144": "|[l$_0$onie: compressing coins with l$_0$-constraints](https://arxiv.org/abs/2207.04144)|[l0onie](https://github.com/juan43ramirez/l0onie)|\n"}, "2022-07-13": {"2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2101.12370": "|[an automated theorem proving framework for information-theoretic results](https://arxiv.org/abs/2101.12370)|[psitip](https://github.com/cheuktingli/psitip)|\n", "2105.03925": "|[on the distribution of the information density of gaussian random vectors: explicit formulas and tight approximations](https://arxiv.org/abs/2105.03925)|[information-density](https://gitlab.com/infth/information-density)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n"}, "2022-07-14": {}, "2022-07-15": {"2110.03869": "|[self-supervised speaker recognition with loss-gated learning](https://arxiv.org/abs/2110.03869)|[loss-gated-learning](https://github.com/taoruijie/loss-gated-learning)|\n", "2207.06439": "|[reconstruction of time-varying graph signals via sobolev smoothness](https://arxiv.org/abs/2207.06439)|[graphtrss](https://github.com/jhonygiraldo/graphtrss)|\n", "2207.06592": "|[few-shot specific emitter identification via deep metric ensemble learning](https://arxiv.org/abs/2207.06592)|[few-shot-specific-emitter-identification-via-deep-metric-ensemble-learning](https://github.com/beechburgpiestar/few-shot-specific-emitter-identification-via-deep-metric-ensemble-learning)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[connear_periphery](https://github.com/hearingtechnology/connear_periphery)|\n", "2207.06606": "|[analytic relations between complex networks: encoding, decoding, and causality](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n", "2207.07080": "|[an asymmetric contrastive loss for handling imbalanced datasets](https://arxiv.org/abs/2207.07080)|[asymmetric-cl](https://github.com/valentinovito/asymmetric-cl)|\n"}, "2022-07-16": {}, "2022-07-17": {}, "2022-07-18": {"2206.14752": "|[correctly modeling tx and rx chain in (distributed) massive mimo -- new fundamental insights on coherency](https://arxiv.org/abs/2206.14752)|[Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO](https://github.com/rnissel/Correctly-Modeling-TX-and-RX-Chain-in-Massive-MIMO)|\n", "2207.06908": "|[open-source software for electrical engineering applications requiring consideration of electrodynamics: elecode](https://arxiv.org/abs/2207.06908)|[elecode](https://gitlab.com/dmika/elecode)|\n", "2207.07466": "|[deepsolar tracker: towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[dsfrance](https://github.com/gabrielkasmi/dsfrance)|\n", "2207.07572": "|[outlier detection of vital sign trajectories from covid-19 patients](https://arxiv.org/abs/2207.07572)|[outlier-detection-recap-data](https://github.com/sara-es/outlier-detection-recap-data)|\n"}, "2022-07-19": {"2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2206.08703": "|[plotly-resampler: effective visual analytics for large time series](https://arxiv.org/abs/2206.08703)|[plotly-resampler](https://github.com/predict-idlab/plotly-resampler)|\n", "2207.07773": "|[segment-level metric learning for few-shot bioacoustic event detection](https://arxiv.org/abs/2207.07773)|[dcase_2022_task_5](https://github.com/haoheliu/dcase_2022_task_5)|\n", "2207.07859": "|[deep learning and its applications to wifi human sensing: a benchmark and a tutorial](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2011.05032": "|[correlated age-of-information bandits](https://arxiv.org/abs/2011.05032)|[Correlated-AoI-Bandits](https://github.com/ishank-juneja/Correlated-AoI-Bandits)|\n", "2106.02146": "|[the signed cumulative distribution transform for 1-d signal analysis and classification](https://arxiv.org/abs/2106.02146)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2110.14099": "|[tight concentrations and confidence sequences from the regret of universal portfolio](https://arxiv.org/abs/2110.14099)|[precise](https://github.com/bremen79/precise)|\n", "2204.09938": "|[ultra-marginal feature importance](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/joej1997/umfi)|\n", "2204.13424": "|[interpretable collective intelligence of non-rational human agents](https://arxiv.org/abs/2204.13424)|[collective-intelligence-research](https://github.com/nicknick85/collective-intelligence-research)|\n"}, "2022-07-20": {"2102.13284": "|[a large collection of real-world pediatric sleep studies](https://arxiv.org/abs/2102.13284)|[sleep_study](https://github.com/liboyue/sleep_study)|\n", "2207.07753": "|[do not sleep on linear models: simple and interpretable techniques outperform deep learning for sleep scoring](https://arxiv.org/abs/2207.07753)|[sleep-linear](https://github.com/predict-idlab/sleep-linear)|\n", "2207.09418": "|[unrolled algorithms for group synchronization](https://arxiv.org/abs/2207.09418)|[unrolling_synchronization](https://github.com/noamjanco/unrolling_synchronization)|\n", "2207.09065": "|[automated black-box boundary value detection](https://arxiv.org/abs/2207.09065)|[repro_autobva](https://github.com/feldob/repro_autobva)|\n"}, "2022-07-21": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n"}, "2022-07-22": {"2201.10355": "|[neural architecture search for spiking neural networks](https://arxiv.org/abs/2201.10355)|[neural-architecture-search-for-spiking-neural-networks](https://github.com/intelligent-computing-lab-yale/neural-architecture-search-for-spiking-neural-networks)|\n", "2207.10164": "|[trajectory pmb filters for extended object tracking using belief propagation](https://arxiv.org/abs/2207.10164)|[trajectory-pmb-eot-bp](https://github.com/yuhsuansia/trajectory-pmb-eot-bp)|\n", "2207.10284": "|[multi resolution analysis (mra) for approximate self-attention](https://arxiv.org/abs/2207.10284)|[mra-attention](https://github.com/mlpen/mra-attention)|\n"}, "2022-07-23": {}, "2022-07-24": {}, "2022-07-25": {"2207.10732": "|[explainable ai algorithms for vibration data-based fault detection: use case-adadpted methods and critical evaluation](https://arxiv.org/abs/2207.10732)|[xai-vibration-fault-detection](https://github.com/o-mey/xai-vibration-fault-detection)|\n"}, "2022-07-26": {"2109.00172": "|[task-oriented communication for multi-device cooperative edge inference](https://arxiv.org/abs/2109.00172)|[vddib-sr](https://github.com/shaojiawei07/vddib-sr)|\n", "2205.00348": "|[end-to-end signal classification in signed cumulative distribution transform space](https://arxiv.org/abs/2205.00348)|[PyTransKit](https://github.com/rohdelab/PyTransKit)|\n", "2206.10499": "|[a learning aided flexible gradient descent approach to miso beamforming](https://arxiv.org/abs/2206.10499)|[lagd](https://github.com/xiagroup/lagd)|\n", "2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2112.00778": "|[quantum advantage in learning from experiments](https://arxiv.org/abs/2112.00778)|[ReCirq](https://github.com/quantumlib/ReCirq)|\n", "2207.12382": "|[on confidence sequences for bounded random processes via universal gambling strategies](https://arxiv.org/abs/2207.12382)|[confidence-sequence-via-gambling](https://github.com/jongharyu/confidence-sequence-via-gambling)|\n"}, "2022-07-27": {"2012.09284": "|[sparse signal models for data augmentation in deep learning atr](https://arxiv.org/abs/2012.09284)|[mstar_data_aug](https://github.com/SENSE-Lab-OSU/mstar_data_aug)|\n", "2108.00874": "|[few-shot domain adaptation for end-to-end communication](https://arxiv.org/abs/2108.00874)|[domain-adaptation-autoencoder](https://github.com/jayaram-r/domain-adaptation-autoencoder)|\n", "2207.12662": "|[time majority voting, a pc-based eeg classifier for non-expert users](https://arxiv.org/abs/2207.12662)|[time_majority_voting](https://github.com/guangyaodou/time_majority_voting)|\n", "2207.12653": "|[dynamic measurement of structural entropy for dynamic graphs](https://arxiv.org/abs/2207.12653)|[incre-se](https://github.com/yangrunze1013/incre-se)|\n"}, "2022-07-28": {"2112.14792": "|[graph neural networks for communication networks: context, use cases and opportunities](https://arxiv.org/abs/2112.14792)|[GNNPapersCommNets](https://github.com/BNN-UPC/GNNPapersCommNets)|\n"}, "2022-07-29": {"2207.14072": "|[wivelo: fine-grained walking velocity estimation for wi-fi passive tracking](https://arxiv.org/abs/2207.14072)|[WiVelo_SECON22](https://github.com/liecn/WiVelo_SECON22)|\n", "2202.02464": "|[one-nearest-neighbor search is all you need for minimax optimal regression and classification](https://arxiv.org/abs/2202.02464)|[split-knn-rules](https://github.com/jongharyu/split-knn-rules)|\n", "2204.02489": "|[pareto-optimal clustering with the primal deterministic information bottleneck](https://arxiv.org/abs/2204.02489)|[pareto_dib](https://github.com/andrewktan/pareto_dib)|\n"}, "2022-07-30": {}, "2022-07-31": {}, "2022-08-01": {"2207.14468": "|[deep learning based successive interference cancellation for the non-orthogonal downlink](https://arxiv.org/abs/2207.14468)|[sicnet](https://github.com/thienvanluong/sicnet)|\n", "2205.10805": "|[deep learning-based synchronization for uplink nb-iot](https://arxiv.org/abs/2205.10805)|[nprach_synch](https://github.com/nvlabs/nprach_synch)|\n", "2207.06606": "|[analytic relations between networks: encoding, decoding, and causality](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n"}, "2022-08-02": {"2208.00313": "|[untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\\psi$frmv)](https://arxiv.org/abs/2208.00313)|[regionofinterest](https://github.com/ryland-chem/regionofinterest)|\n", "2208.00465": "|[vector-based data improves left-right eye-tracking classifier performance after a covariate distributional shift](https://arxiv.org/abs/2208.00465)|[eegetcovariatedistributionalshift](https://github.com/brianxiang123/eegetcovariatedistributionalshift)|\n", "2208.00542": "|[descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal](https://arxiv.org/abs/2208.00542)|[score-based-ecg-denoising](https://github.com/huayuliarizona/score-based-ecg-denoising)|\n", "2001.11212": "|[tcmi: a non-parametric mutual-dependence estimator for multivariate continuous distributions](https://arxiv.org/abs/2001.11212)|[tcmi](https://github.com/BenjaminRegler/tcmi)|\n", "2110.14099": "|[tight concentrations and confidence sequences from the regret of universal portfolio](https://arxiv.org/abs/2110.14099)|[precise](https://github.com/bremen79/precise)|\n", "2204.01105": "|[better lattice quantizers constructed from complex integers](https://arxiv.org/abs/2204.01105)|[latticequantizer](https://github.com/shx-lyu/latticequantizer)|\n"}, "2022-08-03": {"2208.00877": "|[self-supervised group meiosis contrastive learning for eeg-based emotion recognition](https://arxiv.org/abs/2208.00877)|[Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition](https://github.com/kanhaoning/Self-supervised-group-meiosis-contrastive-learning-for-EEG-based-emotion-recognition)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n"}, "2022-08-04": {"2106.00058": "|[stable and interpretable unrolled dictionary learning](https://arxiv.org/abs/2106.00058)|[stable-interpretable-unrolled-dl](https://github.com/btolooshams/stable-interpretable-unrolled-dl)|\n", "2207.11696": "|[the wqn algorithm to adaptively correct artifacts in the eeg signal](https://arxiv.org/abs/2207.11696)|[wavelet-wqn-acha](https://github.com/mattbit/wavelet-wqn-acha)|\n", "2208.01793": "|[segmented learning for class-of-service network traffic classification](https://arxiv.org/abs/2208.01793)|[s2mc-for-cos](https://github.com/yoga-suhas-km/s2mc-for-cos)|\n", "1909.03889": "|[recovery of future data via convolution nuclear norm minimization](https://arxiv.org/abs/1909.03889)|[CNNM](https://github.com/gcliu1982/CNNM)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n"}, "2022-08-05": {"2208.02649": "|[visually evaluating generative adversarial networks using itself under multivariate time series](https://arxiv.org/abs/2208.02649)|[GaussianGANs](https://github.com/jack-pan-ai/GaussianGANs)|\n"}, "2022-08-06": {}, "2022-08-07": {}, "2022-08-08": {"2208.02724": "|[disentangled representation learning for rf fingerprint extraction under unknown channel statistics](https://arxiv.org/abs/2208.02724)|[dr-rff](https://github.com/xrj-com/dr-rff)|\n", "2208.03118": "|[a design of low-projection scma codebooks for downlink satellite internet of things](https://arxiv.org/abs/2208.03118)|[scma-codebook](https://github.com/ethanlq/scma-codebook)|\n"}, "2022-08-09": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n", "2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2208.04101": "|[fra-rir: fast random approximation of the image-source method](https://arxiv.org/abs/2208.04101)|[fra-rir](https://github.com/yluo42/fra-rir)|\n", "2208.03471": "|[oversquashing in gnns through the lens of information contraction and graph expansion](https://arxiv.org/abs/2208.03471)|[oversquashing](https://github.com/kedar2/oversquashing)|\n"}, "2022-08-10": {"2002.06025": "|[efficient waveform covariance matrix design and antenna selection for mimo radar](https://arxiv.org/abs/2002.06025)|[evolutionary-antenna-design-in-mimo](https://github.com/arindam-bose/evolutionary-antenna-design-in-mimo)|\n", "2112.10107": "|[expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control](https://arxiv.org/abs/2112.10107)|[Advanced_XLight](https://github.com/LiangZhang1996/Advanced_XLight)|\n", "2208.04659": "|[ultra lite convolutional neural network for automatic modulation classification](https://arxiv.org/abs/2208.04659)|[ultra-lite-convolutional-neural-network-for-automatic-modulation-classification](https://github.com/beechburgpiestar/ultra-lite-convolutional-neural-network-for-automatic-modulation-classification)|\n"}, "2022-08-11": {"2110.08775": "|[perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising](https://arxiv.org/abs/2110.08775)|[perturbative_mean_field_matrix_factorization](https://github.com/sphinxteam/perturbative_mean_field_matrix_factorization)|\n"}, "2022-08-12": {"2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2208.05795": "|[an modified cole's importance sampling method for low error floor qc-ldpc codes construction](https://arxiv.org/abs/2208.05795)|[trapping-sets-enumeration](https://github.com/Lcrypto/trapping-sets-enumeration)|\n"}, "2022-08-13": {}, "2022-08-14": {}, "2022-08-15": {"2204.08000": "|[lrh-net: a multi-level knowledge distillation approach for low-resource heart network](https://arxiv.org/abs/2204.08000)|[lrh-net](https://github.com/ekansh09/lrh-net)|\n", "2208.06051": "|[a hybrid method for condition monitoring and fault diagnosis of rolling bearings with low system delay](https://arxiv.org/abs/2208.06051)|[vibration-based-fault-diagnosis-with-low-delay](https://github.com/western-oc2-lab/vibration-based-fault-diagnosis-with-low-delay)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2208.06355": "|[communication network model of the immune system identifies the impact of interactions with sars-cov-2 proteins](https://arxiv.org/abs/2208.06355)|[core](https://github.com/sarkar-s/core)|\n"}, "2022-08-16": {"2103.02654": "|[a robust adversarial network-based end-to-end communications system with strong generalization ability against adversarial attacks](https://arxiv.org/abs/2103.02654)|[GAN-based-E2E-communications-system-for-defense-against-adversarial-attack](https://github.com/YudiDong/GAN-based-E2E-communications-system-for-defense-against-adversarial-attack)|\n", "2208.06991": "|[towards interpretable sleep stage classification using cross-modal transformers](https://arxiv.org/abs/2208.06991)|[cross-modal-transformer](https://github.com/jathurshan0330/cross-modal-transformer)|\n", "2208.07151": "|[dynamic task software caching-assisted computation offloading for multi-access edge computing](https://arxiv.org/abs/2208.07151)|[drl-mec](https://github.com/chfocus/drl-mec)|\n", "2208.07190": "|[wifi based distance estimation using supervised machine learning](https://arxiv.org/abs/2208.07190)|[wifi-fingerprint](https://github.com/kahramankostas/wifi-fingerprint)|\n", "2208.06948": "|[how does data freshness affect real-time supervised learning?](https://arxiv.org/abs/2208.06948)|[impact-of-data-freshness-in-learning](https://github.com/kamran0153/impact-of-data-freshness-in-learning)|\n"}, "2022-08-17": {"2107.09539": "|[parametric scattering networks](https://arxiv.org/abs/2107.09539)|[ParametricScatteringNetworks](https://github.com/bentherien/ParametricScatteringNetworks)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2208.07830": "|[signal detection with dynamic programming](https://arxiv.org/abs/2208.07830)|[Signal-detection-with-dynamic-programming](https://github.com/MordechaiRoth1/Signal-detection-with-dynamic-programming)|\n", "2103.07578": "|[efficient randomized subspace embeddings for distributed optimization under a communication budget](https://arxiv.org/abs/2103.07578)|[distoptconstrcomm](https://github.com/rajarshisaha95/distoptconstrcomm)|\n"}, "2022-08-18": {"2108.01360": "|[towards a better understanding human reading comprehension with brain signals](https://arxiv.org/abs/2108.01360)|[uercm](https://github.com/yeziyi1998/uercm)|\n", "2109.08170": "|[quantum message-passing algorithm for optimal and efficient decoding](https://arxiv.org/abs/2109.08170)|[quantum-message-passing-paper](https://github.com/chripiv/quantum-message-passing-paper)|\n"}, "2022-08-19": {"2202.13757": "|[fast off-the-grid sparse recovery with over-parametrized projected gradient descent](https://arxiv.org/abs/2202.13757)|[opcomp_sparse_recovery](https://github.com/pjbenard/opcomp_sparse_recovery)|\n", "2204.07043": "|[ensemble learning using individual neonatal data for seizure detection](https://arxiv.org/abs/2204.07043)|[distributed-nsda](https://github.com/anaborovac/distributed-nsda)|\n", "2208.08859": "|[psychophysiological arousal in young children who stutter: an interpretable ai approach](https://arxiv.org/abs/2208.08859)|[modality-wise-multple-instance-learning](https://github.com/asalekin-ubiquitouslab/modality-wise-multple-instance-learning)|\n", "2208.08867": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation](https://arxiv.org/abs/2208.08867)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2022-08-20": {}, "2022-08-21": {}, "2022-08-22": {"2202.09648": "|[echofilter: a deep learning segmentation model improves the automation, standardization, and timeliness for post-processing echosounder data in tidal energy streams](https://arxiv.org/abs/2202.09648)|[echofilter](https://github.com/deepsenseca/echofilter)|\n", "2208.09088": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties](https://arxiv.org/abs/2208.09088)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2022-08-23": {"2208.10325": "|[exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation](https://arxiv.org/abs/2208.10325)|[scss_csgaussian](https://github.com/rfchallenge/scss_csgaussian)|\n", "2208.10463": "|[survey of machine learning techniques to predict heartbeat arrhythmias](https://arxiv.org/abs/2208.10463)|[ECG_Predictor](https://github.com/innovationcore/ECG_Predictor)|\n", "2205.04860": "|[universal caching](https://arxiv.org/abs/2205.04860)|[universalcaching](https://github.com/ativjoshi/universalcaching)|\n"}, "2022-08-24": {"2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2109.08170": "|[quantum message-passing algorithm for optimal and efficient decoding](https://arxiv.org/abs/2109.08170)|[quantum-message-passing-paper](https://github.com/chripiv/quantum-message-passing-paper)|\n"}, "2022-08-25": {"2207.10164": "|[trajectory pmb filters for extended object tracking using belief propagation](https://arxiv.org/abs/2207.10164)|[trajectory-pmb-eot-bp](https://github.com/yuhsuansia/trajectory-pmb-eot-bp)|\n", "2208.11333": "|[enhancing deep learning performance of massive mimo csi feedback](https://arxiv.org/abs/2208.11333)|[jpts](https://github.com/sijieji/jpts)|\n"}, "2022-08-26": {"2110.09983": "|[ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks](https://arxiv.org/abs/2110.09983)|[ecg-atk-gan](https://github.com/farihahossain/ecg-atk-gan)|\n", "2204.07043": "|[ensemble learning using individual neonatal data for seizure detection](https://arxiv.org/abs/2204.07043)|[distributed-nsda](https://github.com/anaborovac/distributed-nsda)|\n", "2208.11743": "|[eeg4students: an experimental design for eeg data collection and machine learning analysis](https://arxiv.org/abs/2208.11743)|[eeg4students](https://github.com/guangyaodou/eeg4students)|\n", "2202.00450": "|[approximation of images via generalized higher order singular value decomposition over finite-dimensional commutative semisimple algebra](https://arxiv.org/abs/2202.00450)|[talgebra](https://github.com/liaoliang2020/talgebra)|\n"}, "2022-08-27": {}, "2022-08-28": {}, "2022-08-29": {"2006.08924": "|[gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals](https://arxiv.org/abs/2006.08924)|[EEG-DL](https://github.com/SuperBruceJia/EEG-DL)|\n"}, "2022-08-30": {"2111.02926": "|[openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion](https://arxiv.org/abs/2111.02926)|[openfwi](https://github.com/lanl/openfwi)|\n", "2112.09794": "|[robust distributed bayesian learning with stragglers via consensus monte carlo](https://arxiv.org/abs/2112.09794)|[straggler-resilient-cmc](https://github.com/kclip/straggler-resilient-cmc)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2208.03993": "|[cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios](https://arxiv.org/abs/2208.03993)|[cast](https://github.com/wineslab/cast)|\n", "2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-08-31": {"2208.14017": "|[gridless 3d recovery of image sources from room impulse responses](https://arxiv.org/abs/2208.14017)|[acoustic-sfw](https://github.com/sprunckt/acoustic-sfw)|\n"}, "2022-09-01": {"2006.08030": "|[fast robust subspace tracking via pca in sparse data-dependent noise](https://arxiv.org/abs/2006.08030)|[NORST](https://github.com/praneethmurthy/NORST)|\n", "2208.14554": "|[do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?](https://arxiv.org/abs/2208.14554)|[italian-zero-anaphora-prediction](https://github.com/jmichaelov/italian-zero-anaphora-prediction)|\n"}, "2022-09-02": {"2205.03665": "|[variational sparse coding with learned thresholding](https://arxiv.org/abs/2205.03665)|[variational-sparse-coding](https://github.com/kfallah/variational-sparse-coding)|\n", "2203.02052": "|[a unified spatially coupled code design: threshold, cycles, and locality](https://arxiv.org/abs/2203.02052)|[unified_sc_ldpcl](https://github.com/hesfahanizadeh/unified_sc_ldpcl)|\n", "2205.07061": "|[mind: maximum mutual information based neural decoder](https://arxiv.org/abs/2205.07061)|[mind-neural-decoder](https://github.com/tonellolab/mind-neural-decoder)|\n"}, "2022-09-03": {}, "2022-09-04": {}, "2022-09-05": {"2206.04992": "|[artificial intelligence enabled noma towards next generation multiple access](https://arxiv.org/abs/2206.04992)|[ai_noma](https://github.com/xiaoxiaxusummer/ai_noma)|\n", "2206.07784": "|[evaluating short-term forecasting of multiple time series in iot environments](https://arxiv.org/abs/2206.07784)|[multiple-timeseries-forecasting](https://github.com/pcharala/multiple-timeseries-forecasting)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[dsfrance](https://github.com/gabrielkasmi/dsfrance)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n"}, "2022-09-06": {}, "2022-09-07": {"2201.02693": "|[bottlefit: learning compressed representations in deep neural networks for effective and efficient split computing](https://arxiv.org/abs/2201.02693)|[bottlefit-split_computing](https://github.com/yoshitomo-matsubara/bottlefit-split_computing)|\n", "2208.08342": "|[semantic communications with discrete-time analog transmission: a papr perspective](https://arxiv.org/abs/2208.08342)|[semanticpapr](https://github.com/lynshao/semanticpapr)|\n", "2209.01511": "|[transfer learning of an ensemble of dnns for ssvep bci spellers without user-specific training](https://arxiv.org/abs/2209.01511)|[ensemble-of-dnns](https://github.com/osmanberke/ensemble-of-dnns)|\n", "2209.01992": "|[tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis](https://arxiv.org/abs/2209.01992)|[tfn](https://github.com/chenqian0618/tfn)|\n", "2209.02043": "|[large graph signal denoising with application to differential privacy](https://arxiv.org/abs/2209.02043)|[dp-graph-denoising](https://gitlab.com/elie-chedemail/dp-graph-denoising)|\n", "2209.01362": "|[data augmentation for deep receivers](https://arxiv.org/abs/2209.01362)|[data-augmentations-for-receivers](https://github.com/tomerraviv95/data-augmentations-for-receivers)|\n", "2209.01418": "|[learning to predict requires integrated information](https://arxiv.org/abs/2209.01418)|[learningrequiresintinf](https://github.com/carlottalanger/learningrequiresintinf)|\n", "2209.02461": "|[abs+ polar codes: exploiting more linear transforms on adjacent bits](https://arxiv.org/abs/2209.02461)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2022-09-08": {"2112.03533": "|[a time-domain real-valued generalized wiener filter for multi-channel neural separation systems](https://arxiv.org/abs/2112.03533)|[TAC](https://github.com/yluo42/TAC)|\n", "2203.09693": "|[generative principal component analysis](https://arxiv.org/abs/2203.09693)|[GenerativePCA](https://github.com/liuzq09/GenerativePCA)|\n", "2206.05049": "|[denoising generalized expectation-consistent approximation for mr image recovery](https://arxiv.org/abs/2206.05049)|[corr-plus-corr](https://github.com/saurav-k-shastri/corr-plus-corr)|\n"}, "2022-09-09": {"2101.04249": "|[two beams are better than one: enabling reliable and high throughput mmwave links](https://arxiv.org/abs/2101.04249)|[mmreliable](https://github.com/ucsdwcsng/mmreliable)|\n", "2205.09054": "|[position aided beam prediction in the real world: how useful gps locations actually are?](https://arxiv.org/abs/2205.09054)|[position-beam-prediction](https://github.com/jmoraispk/position-beam-prediction)|\n", "2209.03761": "|[too fine or too coarse? the goldilocks composition of data complexity for robust left-right eye-tracking classifiers](https://arxiv.org/abs/2209.03761)|[kdd-ml](https://github.com/ayahia1/kdd-ml)|\n", "2202.00136": "|[non-adaptive and two-stage coding over the z-channel](https://arxiv.org/abs/2202.00136)|[Z-channel_with_1_error](https://github.com/VorobyevIlya/Z-channel_with_1_error)|\n"}, "2022-09-10": {}, "2022-09-11": {}, "2022-09-12": {"2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[mt3scm](https://github.com/jokonu/mt3scm)|\n", "2208.10384": "|[the optimality of word lengths. theoretical foundations and an empirical study](https://arxiv.org/abs/2208.10384)|[iql-research-project-21-22](https://github.com/iql-course/iql-research-project-21-22)|\n"}, "2022-09-13": {"2112.04369": "|[adaptive r-peak detection on wearable ecg sensors for high-intensity exercise](https://arxiv.org/abs/2112.04369)|[adaptive_rpeak_det_public](https://c4science.ch/source/adaptive_rpeak_det_public)|\n", "2208.03118": "|[a design of low-projection scma codebooks for ultra-low decoding complexity in downlink iot networks](https://arxiv.org/abs/2208.03118)|[scma-codebook](https://github.com/ethanlq/scma-codebook)|\n", "2209.04871": "|[data-driven blind synchronization and interference rejection for digital communication signals](https://arxiv.org/abs/2209.04871)|[scss_sync](https://github.com/rfchallenge/scss_sync)|\n"}, "2022-09-14": {"2207.10494": "|[multi-event-camera depth estimation and outlier rejection by refocused events fusion](https://arxiv.org/abs/2207.10494)|[dvs_mcemvs](https://github.com/tub-rip/dvs_mcemvs)|\n", "2202.08048": "|[decorrelate irrelevant, purify relevant: overcome textual spurious correlations from a feature perspective](https://arxiv.org/abs/2202.08048)|[depro](https://github.com/coling2022-depro/depro)|\n"}, "2022-09-15": {"2109.03128": "|[learning-based downlink power allocation in cell-free massive mimo systems](https://arxiv.org/abs/2109.03128)|[power-allocation-cell-free](https://github.com/emilbjornson/power-allocation-cell-free)|\n", "2208.00313": "|[untargeted region of interest selection for gc-ms data using a pseudo f-ratio moving window ($\\psi$frmv)](https://arxiv.org/abs/2208.00313)|[regionofinterest](https://github.com/ryland-chem/regionofinterest)|\n", "2209.06464": "|[personalized emotion detection using iot and machine learning](https://arxiv.org/abs/2209.06464)|[MLEmotionDetection](https://github.com/fionavictoria/MLEmotionDetection)|\n"}, "2022-09-16": {"2204.11776": "|[blind equalization and channel estimation in coherent optical communications using variational autoencoders](https://arxiv.org/abs/2204.11776)|[vae-equalizer](https://github.com/kit-cel/vae-equalizer)|\n", "2010.14928": "|[particle gradient descent model for point process generation](https://arxiv.org/abs/2010.14928)|[pp_syn](https://github.com/abrochar/pp_syn)|\n", "2102.12586": "|[a stochastic optimization framework for fair risk minimization](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2022-09-17": {}, "2022-09-18": {}, "2022-09-19": {"2006.08924": "|[gcns-net: a graph convolutional neural network approach for decoding time-resolved eeg motor imagery signals](https://arxiv.org/abs/2006.08924)|[EEG-DL](https://github.com/SuperBruceJia/EEG-DL)|\n", "2011.00753": "|[bayesbeat: reliable atrial fibrillation detection from noisy photoplethysmography data](https://arxiv.org/abs/2011.00753)|[bayesbeat](https://github.com/sarathismg/bayesbeat)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2209.07999": "|[self-supervised learning with an information maximization criterion](https://arxiv.org/abs/2209.07999)|[corinfomax-ssl](https://github.com/serdarozsoy/corinfomax-ssl)|\n"}, "2022-09-20": {"1911.01803": "|[temporal feedback convolutional recurrent neural networks for speech command recognition](https://arxiv.org/abs/1911.01803)|[temporal-feedback-crnn](https://github.com/tae-jun/temporal-feedback-crnn)|\n", "2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2205.06471": "|[data-driven estimation of capacity upper bounds](https://arxiv.org/abs/2205.06471)|[upper_capacity_bounds](https://github.com/chaeger/upper_capacity_bounds)|\n", "2205.11578": "|[bolt: fused window transformers for fmri time series analysis](https://arxiv.org/abs/2205.11578)|[bolt](https://github.com/icon-lab/bolt)|\n", "2209.09163": "|[an impedance transition method to verify the reference impedance of multiline trl calibration](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2110.00926": "|[information-theoretic characterization of the generalization error for iterative semi-supervised learning](https://arxiv.org/abs/2110.00926)|[generrorssl_2022](https://github.com/herianhe/generrorssl_2022)|\n"}, "2022-09-21": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2202.09338": "|[signal decomposition using masked proximal operators](https://arxiv.org/abs/2202.09338)|[signal-decomposition](https://github.com/cvxgrp/signal-decomposition)|\n", "2202.10084": "|[massive mimo with dual-polarized antennas](https://arxiv.org/abs/2202.10084)|[dual-polarization](https://github.com/emilbjornson/dual-polarization)|\n"}, "2022-09-22": {"2209.09977": "|[learning bilinear models of actuated koopman generators from partially-observed trajectories](https://arxiv.org/abs/2209.09977)|[koopmangeneratorem](https://github.com/samotto1/koopmangeneratorem)|\n", "2007.07500": "|[inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches](https://arxiv.org/abs/2007.07500)|[infonet](https://github.com/LNov/infonet)|\n", "2109.02122": "|[decoding reed-muller codes with successive codeword permutations](https://arxiv.org/abs/2109.02122)|[sprld](https://github.com/nghiadt05/sprld)|\n"}, "2022-09-23": {"2112.05664": "|[leveraging joint-diagonalization in transform-learning nmf](https://arxiv.org/abs/2112.05664)|[tlnmf-tsp](https://github.com/sixin-zh/tlnmf-tsp)|\n", "2209.11007": "|[eventnet: detecting events in eeg](https://arxiv.org/abs/2209.11007)|[eventnet](https://github.com/n1xu5/eventnet)|\n", "2209.11105": "|[dynamic response recovery using ambient synchrophasor data: a synthetic texas interconnection case study](https://arxiv.org/abs/2209.11105)|[dy_resp_pkg_new](https://github.com/ShaohuiLiu/dy_resp_pkg_new)|\n", "2209.10712": "|[compressing sign information in dct-based image coding via deep sign retrieval](https://arxiv.org/abs/2209.10712)|[dsr](https://github.com/ctsutake/dsr)|\n"}, "2022-09-24": {}, "2022-09-25": {}, "2022-09-26": {"2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2208.03070": "|[activity detection in distributed mimo: distributed amp via likelihood ratio fusion](https://arxiv.org/abs/2208.03070)|[distributed-AMP](https://github.com/jiananbai/distributed-AMP)|\n", "2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[abimca](https://github.com/jokonu/abimca)|\n"}, "2022-09-27": {"1905.12256": "|[ddp-gcn: multi-graph convolutional network for spatiotemporal traffic forecasting](https://arxiv.org/abs/1905.12256)|[DDP-GCN](https://github.com/snu-adsl/DDP-GCN)|\n", "2005.01669": "|[ppg2abp: translating photoplethysmogram (ppg) signals to arterial blood pressure (abp) waveforms using fully convolutional neural networks](https://arxiv.org/abs/2005.01669)|[PPG2ABP](https://github.com/nibtehaz/PPG2ABP)|\n", "2011.03466": "|[real-time noise cancellation with deep learning](https://arxiv.org/abs/2011.03466)|[deepNeuronalFilter](https://github.com/berndporr/deepNeuronalFilter)|\n", "2106.10108": "|[under the sand: navigation and localization of a micro aerial vehicle for landmine detection with ground penetrating synthetic aperture radar](https://arxiv.org/abs/2106.10108)|[mav_findmine](https://github.com/ethz-asl/mav_findmine)|\n", "2110.00262": "|[pyffs: a python library for fast fourier series computation and interpolation with gpu acceleration](https://arxiv.org/abs/2110.00262)|[pyFFS](https://github.com/imagingofthings/pyFFS)|\n", "2209.12638": "|[bounded simplex-structured matrix factorization](https://arxiv.org/abs/2209.12638)|[bssmf.jl](https://gitlab.com/vuthanho/bssmf.jl)|\n", "2104.00861": "|[poisson phase retrieval in very low-count regimes](https://arxiv.org/abs/2104.00861)|[ppr-low-count](https://github.com/zongyuli-umich/ppr-low-count)|\n", "2208.06948": "|[how does data freshness affect real-time supervised learning?](https://arxiv.org/abs/2208.06948)|[impact-of-data-freshness-in-learning](https://github.com/kamran0153/impact-of-data-freshness-in-learning)|\n"}, "2022-09-28": {"2209.12894": "|[biologically-plausible determinant maximization neural networks for blind separation of correlated sources](https://arxiv.org/abs/2209.12894)|[biologically-plausible-detmaxnns-for-blind-source-separation](https://github.com/bariscanbozkurt/biologically-plausible-detmaxnns-for-blind-source-separation)|\n", "2209.13553": "|[source detection via multi-label classification](https://arxiv.org/abs/2209.13553)|[Signal_detector](https://github.com/jkrishnan95v/Signal_detector)|\n", "2209.13585": "|[semi-blind source separation with learned constraints](https://arxiv.org/abs/2209.13585)|[sgmca](https://github.com/rcarlonigertosio/sgmca)|\n", "2106.12627": "|[provably efficient machine learning for quantum many-body problems](https://arxiv.org/abs/2106.12627)|[PastaQ.jl](https://github.com/GTorlai/PastaQ.jl)|\n", "2112.10869": "|[cell-free massive mimo meets otfs modulation](https://arxiv.org/abs/2112.10869)|[cell-free-otfs](https://github.com/mohammadalimohammadi/cell-free-otfs)|\n", "2207.07080": "|[an asymmetric contrastive loss for handling imbalanced datasets](https://arxiv.org/abs/2207.07080)|[asymmetric-cl](https://github.com/valentinovito/asymmetric-cl)|\n"}, "2022-09-29": {"2209.13786": "|[a parameter-free nonconvex low-rank tensor completion model for spatiotemporal traffic data recovery](https://arxiv.org/abs/2209.13786)|[T-ITS-PFNC](https://github.com/YoungHe49/T-ITS-PFNC)|\n"}, "2022-09-30": {"2111.04593": "|[frequency-dependent $f$-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n"}, "2022-10-01": {}, "2022-10-02": {}, "2022-10-03": {"2203.07807": "|[end-to-end p300 bci using bayesian accumulation of riemannian probabilities](https://arxiv.org/abs/2203.07807)|[demos](https://github.com/timeflux/demos)|\n", "2209.14162": "|[near lossless time series data compression methods using statistics and deviation](https://arxiv.org/abs/2209.14162)|[data-compression](https://github.com/vidhi0206/data-compression)|\n", "2209.15146": "|[ensemble machine learning model trained on a new synthesized dataset generalizes well for stress prediction using wearable devices](https://arxiv.org/abs/2209.15146)|[stress](https://github.com/xalentis/stress)|\n", "2209.15195": "|[rf-transformer: a unified backscatter radio hardware abstraction](https://arxiv.org/abs/2209.15195)|[rf-transformer](https://github.com/lefscc/rf-transformer)|\n", "2209.15223": "|[astf: visual abstractions of time-varying patterns in radio signals](https://arxiv.org/abs/2209.15223)|[astf](https://github.com/csuvis/astf)|\n", "2209.15614": "|[tinyturbo: efficient turbo decoders on edge](https://arxiv.org/abs/2209.15614)|[tinyturbo](https://github.com/hebbarashwin/tinyturbo)|\n", "2012.04524": "|[construction of optimal spectral methods in phase retrieval](https://arxiv.org/abs/2012.04524)|[Optimal_Spectral_Methods_PR](https://github.com/AnMaillard/Optimal_Spectral_Methods_PR)|\n", "2203.07752": "|[optimal denoising of rotationally invariant rectangular matrices](https://arxiv.org/abs/2203.07752)|[rectangular_rie](https://github.com/penombraet/rectangular_rie)|\n", "2209.15594": "|[self-stabilization: the implicit bias of gradient descent at the edge of stability](https://arxiv.org/abs/2209.15594)|[eos](https://github.com/adamian98/eos)|\n"}, "2022-10-04": {"2201.00627": "|[uncertainty detection and reduction in neural decoding of eeg signals](https://arxiv.org/abs/2201.00627)|[ue-eeg](https://github.com/tiehangd/ue-eeg)|\n", "2210.00941": "|[unsupervised multimodal change detection based on structural relationship graph representation learning](https://arxiv.org/abs/2210.00941)|[srgcae](https://github.com/chenhongruixuan/srgcae)|\n"}, "2022-10-05": {"2210.01205": "|[diagnosis of parkinson's disease based on voice signals using shap and hard voting ensemble method](https://arxiv.org/abs/2210.01205)|[classification_of_parkinson_disease](https://github.com/pariaghaheri/classification_of_parkinson_disease)|\n", "2208.14554": "|[do language models make human-like predictions about the coreferents of italian anaphoric zero pronouns?](https://arxiv.org/abs/2208.14554)|[italian-zero-anaphora-prediction](https://github.com/jmichaelov/italian-zero-anaphora-prediction)|\n", "2209.15265": "|[overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery](https://arxiv.org/abs/2209.15265)|[neural-recovery](https://github.com/pilancilab/neural-recovery)|\n"}, "2022-10-06": {"2205.15674": "|[generalised implicit neural representations](https://arxiv.org/abs/2205.15674)|[ginr](https://github.com/danielegrattarola/ginr)|\n", "2210.01719": "|[learning the spectrogram temporal resolution for audio classification](https://arxiv.org/abs/2210.01719)|[diffres-python](https://github.com/haoheliu/diffres-python)|\n", "2210.01986": "|[matt: a manifold attention network for eeg decoding](https://arxiv.org/abs/2210.01986)|[matt](https://github.com/cecnl/matt)|\n"}, "2022-10-07": {"2210.02596": "|[role of deep learning in wireless communications](https://arxiv.org/abs/2210.02596)|[DL-DSC-FDD-Massive-MIMO](https://github.com/foadsohrabi/DL-DSC-FDD-Massive-MIMO)|\n", "2210.03067": "|[few-shot calibration of set predictors via meta-learned cross-validation-based conformal prediction](https://arxiv.org/abs/2210.03067)|[meta-xb](https://github.com/kclip/meta-xb)|\n", "2107.02027": "|[efficient sequence packing without cross-contamination: accelerating large language models without impacting performance](https://arxiv.org/abs/2107.02027)|[packedBERT](https://github.com/graphcore/tutorials/tree/sdk-release-2.1/blogs_code/packedBERT)|\n", "2207.06374": "|[grassmannian packings: trust-region stochastic tuning for matrix incoherence](https://arxiv.org/abs/2207.06374)|[trstmi](https://github.com/josiahpark/trstmi)|\n", "2210.02672": "|[orthogonal non-negative matrix factorization: a maximum-entropy-principle approach](https://arxiv.org/abs/2210.02672)|[mep-orthogonal-nmf](https://github.com/salar96/mep-orthogonal-nmf)|\n"}, "2022-10-08": {}, "2022-10-09": {}, "2022-10-10": {"1912.12566": "|[experiments with mmwave automotive radar test-bed](https://arxiv.org/abs/1912.12566)|[mmWave-radar-signal-processing-and-microDoppler-classification](https://github.com/Xiangyu-Gao/mmWave-radar-signal-processing-and-microDoppler-classification)|\n"}, "2022-10-11": {"2012.13567": "|[towards real-world bci: ccspnet, a compact subject-independent motor imagery framework](https://arxiv.org/abs/2012.13567)|[CCSPNet](https://github.com/Singular-Brain/CCSPNet)|\n", "2201.04784": "|[performance analysis of multi-user noma wireless-powered mmtc networks: a stochastic geometry approach](https://arxiv.org/abs/2201.04784)|[mmtc-noma](https://github.com/thanhluannguyen/mmtc-noma)|\n", "2201.09531": "|[communication-efficient stochastic zeroth-order optimization for federated learning](https://arxiv.org/abs/2201.09531)|[FedZO](https://github.com/noobyzy/FedZO)|\n", "2210.02214": "|[urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming](https://arxiv.org/abs/2210.02214)|[robust-adaptive-beamforming-2022](https://github.com/chenpengseu/robust-adaptive-beamforming-2022)|\n", "2210.04033": "|[online learning of the transfer matrix of dynamic scattering media: wavefront shaping meets multidimensional time series](https://arxiv.org/abs/2210.04033)|[online_learning_tm](https://github.com/labogigan/online_learning_tm)|\n", "2210.04222": "|[correlative information maximization based biologically plausible neural networks for correlated source separation](https://arxiv.org/abs/2210.04222)|[Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation](https://github.com/BariscanBozkurt/Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation)|\n", "2210.04818": "|[rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2210.04818)|[rhombic_grids](https://github.com/mschiffn/rhombic_grids)|\n", "2006.06618": "|[coinpress: practical private mean and covariance estimation](https://arxiv.org/abs/2006.06618)|[coin-press](https://github.com/twistedcubic/coin-press)|\n", "2210.04013": "|[constrained optimal querying: huffman coding and beyond](https://arxiv.org/abs/2210.04013)|[constrained-optimal-querying-huffman-coding-and-beyond](https://github.com/madcreeper/constrained-optimal-querying-huffman-coding-and-beyond)|\n"}, "2022-10-12": {"2107.13473": "|[the portiloop: a deep learning-based open science tool for closed-loop brain stimulation](https://arxiv.org/abs/2107.13473)|[portiloop](https://github.com/mistlab/portiloop)|\n", "2205.14308": "|[transfer learning-based channel estimation in orthogonal frequency division multiplexing systems using data-nulling superimposed pilots](https://arxiv.org/abs/2205.14308)|[transferlearningbasedcebydnsp](https://github.com/leiunnn/transferlearningbasedcebydnsp)|\n", "2210.04941": "|[slurp! spectroscopy of liquids using robot pre-touch sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2210.05240": "|[multi-site diagnostic classification of schizophrenia using 3d cnn on aggregated task-based fmri data](https://arxiv.org/abs/2210.05240)|[Schizophrenia-Classification-from-multi-site-fMRI-data](https://github.com/s-vigneshwaran/Schizophrenia-Classification-from-multi-site-fMRI-data)|\n", "2210.05571": "|[misspecified phase retrieval with generative priors](https://arxiv.org/abs/2210.05571)|[MPRG](https://github.com/jiulongliu/MPRG)|\n"}, "2022-10-13": {"2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2210.06083": "|[outlier-insensitive kalman filtering using nuv priors](https://arxiv.org/abs/2210.06083)|[oikf_icassp23](https://github.com/kalmannet/oikf_icassp23)|\n", "2210.06287": "|[an energy-efficient spiking neural network for finger velocity decoding for implantable brain-machine interface](https://arxiv.org/abs/2210.06287)|[snn-for-finger-velocity-ibmi](https://github.com/liaorichard/snn-for-finger-velocity-ibmi)|\n", "2210.06297": "|[multimodality multi-lead ecg arrhythmia classification using self-supervised learning](https://arxiv.org/abs/2210.06297)|[ecg_ssl_12lead](https://github.com/uark-aicv/ecg_ssl_12lead)|\n", "2210.06298": "|[cross task neural architecture search for eeg signal classifications](https://arxiv.org/abs/2210.06298)|[ctnas-eeg](https://github.com/duanyiqun/ctnas-eeg)|\n", "2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n", "2207.14742": "|[graph neural networks for channel decoding](https://arxiv.org/abs/2207.14742)|[gnn-decoder](https://github.com/nvlabs/gnn-decoder)|\n"}, "2022-10-14": {"2110.09983": "|[ecg-atk-gan: robustness against adversarial attacks on ecgs using conditional generative adversarial networks](https://arxiv.org/abs/2110.09983)|[ecg-atk-gan](https://github.com/farihahossain/ecg-atk-gan)|\n", "2206.01323": "|[spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg](https://arxiv.org/abs/2206.01323)|[TSMNet](https://github.com/rkobler/TSMNet)|\n", "2206.08022": "|[partial identifiability for nonnegative matrix factorization](https://arxiv.org/abs/2206.08022)|[nmf-partial-identifiability](https://gitlab.com/ngillis/nmf-partial-identifiability)|\n", "2208.08155": "|[a monotonicity constrained attention module for emotion classification with limited eeg data](https://arxiv.org/abs/2208.08155)|[bci-attention](https://github.com/dykuang/bci-attention)|\n", "2210.06286": "|[self-supervised learning for label-efficient sleep stage classification: a comprehensive evaluation](https://arxiv.org/abs/2210.06286)|[eval_ssl_ssc](https://github.com/emadeldeen24/eval_ssl_ssc)|\n", "2210.06947": "|[decentralized state estimation in a dimension-reduced linear regression](https://arxiv.org/abs/2210.06947)|[dtt](https://gitlab.com/robinforsling/dtt)|\n", "2204.01105": "|[better lattice quantizers constructed from complex integers](https://arxiv.org/abs/2204.01105)|[latticequantizer](https://github.com/shx-lyu/latticequantizer)|\n", "2207.12077": "|[decision-oriented two-parameter fisher information sensitivity using symplectic decomposition](https://arxiv.org/abs/2207.12077)|[symplecticfishersensitivity](https://github.com/longitude-jyang/symplecticfishersensitivity)|\n", "2210.06591": "|[rigorous dynamical mean field theory for stochastic gradient descent methods](https://arxiv.org/abs/2210.06591)|[rigorous-dynamical-mean-field-theory](https://github.com/spoc-group/rigorous-dynamical-mean-field-theory)|\n"}, "2022-10-15": {}, "2022-10-17": {"2210.05888": "|[calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements](https://arxiv.org/abs/2210.05888)|[uwb_calibration](https://github.com/decarsg/uwb_calibration)|\n", "2210.07789": "|[i13dr: a real-time demand response infrastructure for integrating renewable energy resources](https://arxiv.org/abs/2210.07789)|[demand-manager-app](https://github.com/i13DR/demand-manager-app)|\n"}, "2022-10-16": {}, "2022-10-18": {"2110.00844": "|[a robust alternative for graph convolutional neural networks via graph neighborhood filters](https://arxiv.org/abs/2110.00844)|[neighborhoodgf](https://github.com/vmtenorio/neighborhoodgf)|\n", "2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2204.10428": "|[sinr: deconvolving circular sas images using implicit neural representations](https://arxiv.org/abs/2204.10428)|[csas_deconvolution_inr](https://github.com/awreed/csas_deconvolution_inr)|\n", "2207.09747": "|[transfer learning of wav2vec 2.0 for automatic lyric transcription](https://arxiv.org/abs/2207.09747)|[alt_speechbrain](https://github.com/guxm2021/alt_speechbrain)|\n", "2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2208.02724": "|[disentangled representation learning for rf fingerprint extraction under unknown channel statistics](https://arxiv.org/abs/2208.02724)|[dr-rff](https://github.com/xrj-com/dr-rff)|\n", "2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2209.11233": "|[evaluating latent space robustness and uncertainty of eeg-ml models under realistic distribution shifts](https://arxiv.org/abs/2209.11233)|[evaluating-eeg-representations](https://github.com/neerajwagh/evaluating-eeg-representations)|\n", "2210.08409": "|[a framework to evaluate independent component analysis applied to eeg signal: testing on the picard algorithm](https://arxiv.org/abs/2210.08409)|[testica](https://github.com/sccn/testica)|\n", "2210.08488": "|[robust graph filter identification and graph denoising from signal observations](https://arxiv.org/abs/2210.08488)|[graph_denoising](https://github.com/reysam93/graph_denoising)|\n", "2210.09134": "|[principled pruning of bayesian neural networks through variational free energy minimization](https://arxiv.org/abs/2210.09134)|[principledpruningbnn](https://github.com/biaslab/principledpruningbnn)|\n", "2210.08861": "|[a unitary transform based generalized approximate message passing](https://arxiv.org/abs/2210.08861)|[guamp](https://github.com/riverzhu/guamp)|\n"}, "2022-10-19": {"2205.14415": "|[non-stationary transformers: exploring the stationarity in time series forecasting](https://arxiv.org/abs/2205.14415)|[Nonstationary_Transformers](https://github.com/thuml/Nonstationary_Transformers)|\n", "2205.00271": "|[deep learning-enabled semantic communication systems with task-unaware transmitter and dynamic data](https://arxiv.org/abs/2205.00271)|[semantic-communication-systems](https://github.com/sjtu-mxtao/semantic-communication-systems)|\n", "2210.09808": "|[distributed inference over linear models using alternating gaussian belief propagation](https://arxiv.org/abs/2210.09808)|[FactorGraph.jl](https://github.com/mcosovic/FactorGraph.jl)|\n"}, "2022-10-20": {"2208.03369": "|[a spatially separable attention mechanism for massive mimo csi feedback](https://arxiv.org/abs/2208.03369)|[pytorch_stnet](https://github.com/sharanmourya/pytorch_stnet)|\n", "2012.03902": "|[generative adversarial user privacy in lossy single-server information retrieval](https://arxiv.org/abs/2012.03902)|[GAUP_TIFS22](https://github.com/Simula-UiB/GAUP_TIFS22)|\n"}, "2022-10-21": {"2203.00418": "|[recovery of missing sensor data by reconstructing time-varying graph signals](https://arxiv.org/abs/2203.00418)|[EUSIPCO_22_Sobolev](https://github.com/anindya2001/EUSIPCO_22_Sobolev)|\n", "2210.11406": "|[prosky: neat meets noma-mmwave in the sky of 6g](https://arxiv.org/abs/2210.11406)|[prosky](https://github.com/fouzibenfaid/prosky)|\n", "2210.11422": "|[a hybrid millimeter-wave channel simulator for joint communication and localization](https://arxiv.org/abs/2210.11422)|[omnisim](https://github.com/dengjunquan/omnisim)|\n", "2109.06141": "|[on tilted losses in machine learning: theory and applications](https://arxiv.org/abs/2109.06141)|[TERM](https://github.com/litian96/TERM)|\n", "2206.01295": "|[rashomon capacity: a metric for predictive multiplicity in classification](https://arxiv.org/abs/2206.01295)|[rashomon-capacity](https://github.com/hsianghsu/rashomon-capacity)|\n"}, "2022-10-22": {}, "2022-10-23": {}, "2022-10-24": {"2201.03211": "|[noisy neonatal chest sound separation for high-quality heart and lung sounds](https://arxiv.org/abs/2201.03211)|[heart-and-lung-sound-separation](https://github.com/egrooby-monash/heart-and-lung-sound-separation)|\n", "2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2203.00804": "|[nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems](https://arxiv.org/abs/2203.00804)|[as-nesta-net](https://github.com/mneyrane/as-nesta-net)|\n"}, "2022-10-25": {"2210.12807": "|[hierarchical filtering with online learned priors for ecg denoising](https://arxiv.org/abs/2210.12807)|[hkf_icassp23](https://github.com/kalmannet/hkf_icassp23)|\n", "2210.12811": "|[unsupervised particle sorting for cryo-em using probabilistic pca](https://arxiv.org/abs/2210.12811)|[particle_sorting](https://github.com/giliw/particle_sorting)|\n", "2210.13271": "|[ecg artifact removal from single-channel surface emg using fully convolutional networks](https://arxiv.org/abs/2210.13271)|[ecg-removal-from-semg-by-fcn](https://github.com/eric-wang135/ecg-removal-from-semg-by-fcn)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2107.01131": "|[tight mutual information estimation with contrastive fenchel-legendre optimization](https://arxiv.org/abs/2107.01131)|[FLO](https://github.com/qingguo666/FLO)|\n", "2210.12625": "|[fast beam alignment via pure exploration in multi-armed bandits](https://arxiv.org/abs/2210.12625)|[fast-beam-alignment](https://github.com/yiwei0129/fast-beam-alignment)|\n"}, "2022-10-26": {"2110.05876": "|[label-aware ranked loss for robust people counting using automotive in-cabin radar](https://arxiv.org/abs/2110.05876)|[labelawareranked-loss](https://github.com/2geeks2/labelawareranked-loss)|\n"}, "2022-10-27": {"2206.12078": "|[multimodal sensor data fusion for in-situ classification of animal behavior using accelerometry and gnss data](https://arxiv.org/abs/2206.12078)|[animal_behavior_classification_acc_gnss](https://github.com/reza219/animal_behavior_classification_acc_gnss)|\n", "2210.14758": "|[topological slepians: maximally localized representations of signals over simplicial complexes](https://arxiv.org/abs/2210.14758)|[topological-slepians](https://github.com/clabat9/topological-slepians)|\n", "2210.14827": "|[a nonlinear sum of squares search for cazac sequences](https://arxiv.org/abs/2210.14827)|[ieee-sos-cazac](https://github.com/magsino-usna/ieee-sos-cazac)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n"}, "2022-10-28": {"2203.17024": "|[vqf: highly accurate imu orientation estimation with bias estimation and magnetic disturbance rejection](https://arxiv.org/abs/2203.17024)|[vqf](https://github.com/dlaidig/vqf)|\n", "2210.15071": "|[accelerated massive mimo detector based on annealed underdamped langevin dynamics](https://arxiv.org/abs/2210.15071)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n", "2210.15448": "|[kalmanbot: kalmannet-aided bollinger bands for pairs trading](https://arxiv.org/abs/2210.15448)|[kalmanbot_icassp23](https://github.com/kalmannet/kalmanbot_icassp23)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[mine-pytorch](https://github.com/billywu1029/mine-pytorch)|\n"}, "2022-10-29": {}, "2022-10-30": {}, "2022-10-31": {"2210.15539": "|[deep convolutional neural networks for multi-target tracking: a transfer learning approach](https://arxiv.org/abs/2210.15539)|[mtt](https://github.com/damowerko/mtt)|\n", "2210.15793": "|[conditioning and sampling in variational diffusion models for speech super-resolution](https://arxiv.org/abs/2210.15793)|[diffwave-sr](https://github.com/yoyololicon/diffwave-sr)|\n", "2210.15826": "|[multimodal estimation of change points of physiological arousal in drivers](https://arxiv.org/abs/2210.15826)|[ggs_driving](https://github.com/usc-sail/ggs_driving)|\n", "2210.15903": "|[speaker recognition with two-step multi-modal deep cleansing](https://arxiv.org/abs/2210.15903)|[avcleanse](https://github.com/taoruijie/avcleanse)|\n", "2210.15975": "|[lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform](https://arxiv.org/abs/2210.15975)|[mb-istft-vits](https://github.com/masayakawamura/mb-istft-vits)|\n", "2210.15987": "|[nnsvs: a neural network-based singing voice synthesis toolkit](https://arxiv.org/abs/2210.15987)|[nnsvs](https://github.com/nnsvs/nnsvs)|\n", "2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n"}, "2022-11-01": {"2210.07789": "|[i13dr: a real-time demand response infrastructure for integrating renewable energy resources](https://arxiv.org/abs/2210.07789)|[demand-manager-app](https://github.com/i13DR/demand-manager-app)|\n", "2210.16520": "|[fast-convergent federated learning via cyclic aggregation](https://arxiv.org/abs/2210.16520)|[cyclicaggregation](https://github.com/yjlee22/cyclicaggregation)|\n", "2210.16544": "|[better lightweight network for free: codeword mimic learning for massive mimo csi feedback](https://arxiv.org/abs/2210.16544)|[codewordmimicfeedback](https://github.com/kylin9511/codewordmimicfeedback)|\n", "2210.16985": "|[space-time design for deep joint source channel coding of images over mimo channels](https://arxiv.org/abs/2210.16985)|[st_jscc](https://github.com/aprilbian/st_jscc)|\n", "2202.00964": "|[what has been enhanced in my knowledge-enhanced language model?](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n", "2210.17159": "|[page: prototype-based model-level explanations for graph neural networks](https://arxiv.org/abs/2210.17159)|[page](https://github.com/jordan7186/page)|\n"}, "2022-11-02": {}, "2022-11-03": {"2205.10129": "|[topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions](https://arxiv.org/abs/2205.10129)|[GNN_OPF_electricity_market](https://github.com/ShaohuiLiu/GNN_OPF_electricity_market)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2210.14827": "|[a nonlinear sum of squares search for cazac sequences](https://arxiv.org/abs/2210.14827)|[ieee-sos-cazac](https://github.com/magsino-usna/ieee-sos-cazac)|\n", "2211.00937": "|[witt: a wireless image transmission transformer for semantic communications](https://arxiv.org/abs/2211.00937)|[witt](https://github.com/keyang8/witt)|\n"}, "2022-11-04": {"2211.01659": "|[an open platform for simulating the physical layer of 6g communication systems with multiple intelligent surfaces](https://arxiv.org/abs/2211.01659)|[6g-simulation-platform](https://github.com/alexpapad95/6g-simulation-platform)|\n", "2111.03699": "|[a space of goals: the cognitive geometry of informationally bounded agents](https://arxiv.org/abs/2111.03699)|[cognitive-geometry](https://gitlab.com/uh-adapsys/cognitive-geometry)|\n"}, "2022-11-05": {}, "2022-11-06": {}, "2022-11-07": {"2203.10800": "|[graph neural networks for wireless communications: from theory to practice](https://arxiv.org/abs/2203.10800)|[gnn4com](https://github.com/yshenaw/gnn4com)|\n", "2210.12191": "|[rate-splitting for intelligent reflecting surface-aided multiuser vr streaming](https://arxiv.org/abs/2210.12191)|[Deep-GRAIL](https://github.com/ruihuang1967/Deep-GRAIL)|\n", "2211.02629": "|[multi-view multi-label fine-grained emotion decoding from human brain activity](https://arxiv.org/abs/2211.02629)|[ml-bvae](https://github.com/kaichengfu1997/ml-bvae)|\n", "2211.02630": "|[recursive estimation of user intent from noninvasive electroencephalography using discriminative models](https://arxiv.org/abs/2211.02630)|[bci-disc-models](https://github.com/nik-sm/bci-disc-models)|\n", "2211.02638": "|[a knowledge distillation framework for enhancing ear-eeg based sleep staging with scalp-eeg data](https://arxiv.org/abs/2211.02638)|[EarEEG_KnowledgeDistillation](https://github.com/Mithunjha/EarEEG_KnowledgeDistillation)|\n"}, "2022-11-08": {"2103.09924": "|[sharp: environment and person independent activity recognition with commodity ieee 802.11 access points](https://arxiv.org/abs/2103.09924)|[sharp](https://github.com/signetlabdei/sharp)|\n", "2204.08989": "|[efficient deep learning-based estimation of the vital signs on smartphones](https://arxiv.org/abs/2204.08989)|[mtvital](https://github.com/mahdifarvardin/mtvital)|\n", "2211.02678": "|[towards efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks](https://arxiv.org/abs/2211.02678)|[hypercomplexecg](https://github.com/leibniz-future-lab/hypercomplexecg)|\n", "2211.02696": "|[malgrid: visualization of binary features in large malware corpora](https://arxiv.org/abs/2211.02696)|[MalGrid](https://github.com/Mayachitra-Inc/MalGrid)|\n", "2211.02718": "|[samo: speaker attractor multi-center one-class learning for voice anti-spoofing](https://arxiv.org/abs/2211.02718)|[samo](https://github.com/sivannavis/samo)|\n", "2211.02869": "|[deep learning for rapid landslide detection using synthetic aperture radar (sar) datacubes](https://arxiv.org/abs/2211.02869)|[landslide-sar-unet](https://github.com/iprapas/landslide-sar-unet)|\n", "2211.02922": "|[neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers](https://arxiv.org/abs/2211.02922)|[neural-spatio-temporal-probabilistic-transformers](https://github.com/negar-erfanian/neural-spatio-temporal-probabilistic-transformers)|\n", "2211.03171": "|[pan-tompkins++: a robust approach to detect r-peaks in ecg signals](https://arxiv.org/abs/2211.03171)|[Pan-Tompkins-Plus-Plus](https://github.com/Niaz-Imtiaz/Pan-Tompkins-Plus-Plus)|\n", "2211.03583": "|[pygsl: a graph structure learning toolkit](https://arxiv.org/abs/2211.03583)|[pygsl](https://github.com/maxwass/pygsl)|\n", "2208.00549": "|[unifying approaches in active learning and active sampling via fisher information and information-theoretic quantities](https://arxiv.org/abs/2208.00549)|[2208.00549](https://github.com/blackhc/2208.00549)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n", "2210.15164": "|[fas-unet: a novel fas-driven unet to learn variational image segmentation](https://arxiv.org/abs/2210.15164)|[fasunet](https://github.com/zhuhui100/fasunet)|\n", "2211.02863": "|[inductive graph transformer for delivery time estimation](https://arxiv.org/abs/2211.02863)|[igt-wsdm23](https://github.com/enoche/igt-wsdm23)|\n"}, "2022-11-09": {"2204.07122": "|[mimo channel estimation using score-based generative models](https://arxiv.org/abs/2204.07122)|[score-based-channels](https://github.com/utcsilab/score-based-channels)|\n", "2111.00341": "|[causal discovery in linear structural causal models with deterministic relations](https://arxiv.org/abs/2111.00341)|[propagation-scm](https://github.com/yuqin-yang/propagation-scm)|\n", "2211.03984": "|[causal discovery in linear latent variable models subject to measurement error](https://arxiv.org/abs/2211.03984)|[sem-me-ur](https://github.com/yuqin-yang/sem-me-ur)|\n", "2211.04430": "|[bounded guaranteed algorithms for concave impurity minimization via maximum likelihood](https://arxiv.org/abs/2211.04430)|[linear_clustering](https://github.com/hoangle96/linear_clustering)|\n"}, "2022-11-10": {"2207.12369": "|[toward reliable signals decoding for electroencephalogram: a benchmark study to eegnex](https://arxiv.org/abs/2207.12369)|[eegnex](https://github.com/chenxiachan/eegnex)|\n", "2211.04167": "|[optimal discrete beamforming of reconfigurable intelligent surface](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2211.04846": "|[estimation of signal parameters using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2211.02937": "|[quantization adaptor for bit-level deep learning-based massive mimo csi feedback](https://arxiv.org/abs/2211.02937)|[qcrnet](https://github.com/zhang-xd18/qcrnet)|\n"}, "2022-11-11": {"2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "2211.03231": "|[graph neural networks for community detection on sparse graphs](https://arxiv.org/abs/2211.03231)|[gnn_community_detection](https://github.com/nhuang37/gnn_community_detection)|\n", "2211.05350": "|[the entropy rate of linear additive markov processes](https://arxiv.org/abs/2211.05350)|[LAMPEntropyEstimates](https://github.com/bridget-smart/LAMPEntropyEstimates)|\n"}, "2022-11-12": {}, "2022-11-13": {}, "2022-11-14": {"2108.10382": "|[learning sparse analytic filters for piano transcription](https://arxiv.org/abs/2108.10382)|[sparse-analytic-filters](https://github.com/cwitkowitz/sparse-analytic-filters)|\n", "1904.08576": "|[on low-rank trace regression under general sampling distribution](https://arxiv.org/abs/1904.08576)|[cv-impute](https://github.com/mohsenbayati/cv-impute)|\n"}, "2022-11-15": {"1912.01171": "|[universal adversarial perturbations for cnn classifiers in eeg-based bcis](https://arxiv.org/abs/1912.01171)|[UAP_EEG](https://github.com/ZihanLiu95/UAP_EEG)|\n", "2001.11569": "|[tiny noise, big mistakes: adversarial perturbations induce errors in brain-computer interface spellers](https://arxiv.org/abs/2001.11569)|[Speller-Attacks](https://github.com/ZhangXiao96/Speller-Attacks)|\n", "2107.11852": "|[reconfigurable intelligent surface phase hopping for ultra-reliable communications](https://arxiv.org/abs/2107.11852)|[ris-phase-hopping](https://github.com/klb2/ris-phase-hopping)|\n", "2209.00987": "|[a dataset and baseline approach for identifying usage states from non-intrusive power sensing with midas iot-based sensors](https://arxiv.org/abs/2209.00987)|[poweriot-state-identification](https://github.com/ai4society/poweriot-state-identification)|\n", "2211.06555": "|[transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel](https://arxiv.org/abs/2211.06555)|[relaxation-algorithm-on-ris-miso](https://github.com/dwyanedong/relaxation-algorithm-on-ris-miso)|\n", "2211.07579": "|[advancing the state-of-the-art for ecg analysis through structured state space models](https://arxiv.org/abs/2211.07579)|[ssm_ecg](https://github.com/tmehari/ssm_ecg)|\n", "2011.12160": "|[wyner-ziv estimators for distributed mean estimation with side information and optimization](https://arxiv.org/abs/2011.12160)|[wz_estimators](https://github.com/shubhamjha-46/wz_estimators)|\n", "2210.14749": "|[hybrid hmm decoder for convolutional codes by joint trellis-like structure and channel prior](https://arxiv.org/abs/2210.14749)|[hmm-decoder](https://github.com/haoyyli/hmm-decoder)|\n", "2211.07204": "|[multi-user frequency assignment for ultra-reliable mmwave two-ray channels](https://arxiv.org/abs/2211.07204)|[frequency-assignment-qmkp](https://github.com/klb2/frequency-assignment-qmkp)|\n"}, "2022-11-16": {"2109.05536": "|[link scheduling using graph neural networks](https://arxiv.org/abs/2109.05536)|[distgcn](https://github.com/zhongyuanzhao/distgcn)|\n", "2110.08581": "|[a tutorial on terahertz-band localization for 6g communication systems](https://arxiv.org/abs/2110.08581)|[radio_localization](https://github.com/chenhui07c8/radio_localization)|\n", "2203.07807": "|[end-to-end p300 bci using bayesian accumulation of riemannian probabilities](https://arxiv.org/abs/2203.07807)|[demos](https://github.com/timeflux/demos)|\n", "2206.14483": "|[data augmentation for learning predictive models on eeg: a systematic comparison](https://arxiv.org/abs/2206.14483)|[eeg-augmentation-benchmark-2022](https://github.com/eeg-augmentation-benchmark/eeg-augmentation-benchmark-2022)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n", "2211.07641": "|[motif-topology improved spiking neural network for the cocktail party effect and mcgurk effect](https://arxiv.org/abs/2211.07641)|[motif-snn](https://github.com/thomasaimondy/motif-snn)|\n", "2211.07867": "|[machine learning methods applied to cortico-cortical evoked potentials aid in localizing seizure onset zones](https://arxiv.org/abs/2211.07867)|[ml4hsoz](https://github.com/iangmalone/ml4hsoz)|\n", "2211.08385": "|[cardiacgen: a hierarchical deep generative model for cardiac signals](https://arxiv.org/abs/2211.08385)|[cardiac_gen_model](https://github.com/SENSE-Lab-OSU/cardiac_gen_model)|\n", "2201.10142": "|[almost optimal variance-constrained best arm identification](https://arxiv.org/abs/2201.10142)|[va-bai](https://github.com/y-hou/va-bai)|\n"}, "2022-11-17": {"2211.08635": "|[one-bit mmwave mimo channel estimation using deep generative networks](https://arxiv.org/abs/2211.08635)|[obq-gan-mimo-ce](https://github.com/akashsdoshi96/obq-gan-mimo-ce)|\n", "2211.08872": "|[mcnet: fuse multiple cues for multichannel speech enhancement](https://arxiv.org/abs/2211.08872)|[mcnet](https://github.com/audio-westlakeu/mcnet)|\n", "2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2211.09011": "|[detecting train driveshaft damages using accelerometer signals and differential convolutional neural networks](https://arxiv.org/abs/2211.09011)|[crack-detection-railway-axles-deep-learning](https://github.com/antialopezg/crack-detection-railway-axles-deep-learning)|\n", "2202.00964": "|[what has been enhanced in my knowledge-enhanced language model?](https://arxiv.org/abs/2202.00964)|[gcs_ki](https://github.com/yifan-h/gcs_ki)|\n"}, "2022-11-18": {"2211.09702": "|[deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi](https://arxiv.org/abs/2211.09702)|[ris-miso-pda-deep-reinforcement-learning](https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning)|\n", "2211.09712": "|[sigt: an efficient end-to-end mimo-ofdm receiver framework based on transformer](https://arxiv.org/abs/2211.09712)|[sigt](https://github.com/sigtransformer/sigt)|\n", "2211.09171": "|[efficient urllc with a reconfigurable intelligent surface and imperfect device tracking](https://arxiv.org/abs/2211.09171)|[efficient-ris-aided-urllc](https://github.com/aau-cnt/efficient-ris-aided-urllc)|\n"}, "2022-11-19": {}, "2022-11-20": {}, "2022-11-21": {"2202.00569": "|[arrhythmia classification using cgan-augmented ecg signals](https://arxiv.org/abs/2202.00569)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2210.14476": "|[sinusoidal frequency estimation by gradient descent](https://arxiv.org/abs/2210.14476)|[sinusoidal-gradient-descent](https://github.com/ben-hayes/sinusoidal-gradient-descent)|\n", "2211.09927": "|[sar-based landslide classification pretraining leads to better segmentation](https://arxiv.org/abs/2211.09927)|[sar-landslide-detection-pretraining](https://github.com/vmboehm/sar-landslide-detection-pretraining)|\n", "2211.09939": "|[astrometric calibration and source characterisation of the latest generation neuromorphic event-based cameras for space imaging](https://arxiv.org/abs/2211.09939)|[icns_noralph_event_based-space_imaging-speed_dataset](https://github.com/nicralph213/icns_noralph_event_based-space_imaging-speed_dataset)|\n", "2211.10352": "|[towards fast single-trial online erp based brain-computer interface using dry eeg electrodes and neural networks: a pilot study](https://arxiv.org/abs/2211.10352)|[stimusto](https://github.com/okbalefthanded/stimusto)|\n"}, "2022-11-26": {}, "2022-11-25": {}, "2022-11-24": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2211.03171": "|[pan-tompkins++: a robust approach to detect r-peaks in ecg signals](https://arxiv.org/abs/2211.03171)|[Pan-Tompkins-Plus-Plus](https://github.com/Niaz-Imtiaz/Pan-Tompkins-Plus-Plus)|\n", "2211.12702": "|[evaluating feature attribution methods for electrocardiogram](https://arxiv.org/abs/2211.12702)|[attribution-ecg](https://github.com/snu-drl/attribution-ecg)|\n", "2211.13018": "|[challenges in gaussian processes for non intrusive load monitoring](https://arxiv.org/abs/2211.13018)|[nilm_gp](https://github.com/aadesh-1404/nilm_gp)|\n", "2211.13125": "|[eeg aided boosting of single-lead ecg based sleep staging with deep knowledge distillation](https://arxiv.org/abs/2211.13125)|[sleep_staging_kd](https://github.com/acrophase/sleep_staging_kd)|\n", "2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n", "2211.09676": "|[verified reversible programming for verified lossless compression](https://arxiv.org/abs/2211.09676)|[flipper](https://github.com/j-towns/flipper)|\n", "2211.12343": "|[diffusion model based posterior sampling for noisy linear inverse problems](https://arxiv.org/abs/2211.12343)|[dmps](https://github.com/mengxiangming/dmps)|\n"}, "2022-11-23": {"2111.11482": "|[graph neural networks with parallel neighborhood aggregations for graph classification](https://arxiv.org/abs/2111.11482)|[spin](https://github.com/siddhant-doshi/spin)|\n", "2201.09531": "|[communication-efficient stochastic zeroth-order optimization for federated learning](https://arxiv.org/abs/2201.09531)|[FedZO](https://github.com/noobyzy/FedZO)|\n", "2204.11942": "|[meta-af: meta-learning for adaptive filters](https://arxiv.org/abs/2204.11942)|[metaaf](https://github.com/adobe-research/metaaf)|\n", "2211.06555": "|[transforming ris-assisted passive beamforming from tedious to simple: a relaxation algorithm for rician channel](https://arxiv.org/abs/2211.06555)|[relaxation-algorithm-on-ris-miso](https://github.com/dwyanedong/relaxation-algorithm-on-ris-miso)|\n", "2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2211.12195": "|[ontology-aware learning and evaluation for audio tagging](https://arxiv.org/abs/2211.12195)|[ontology-aware-audio-tagging](https://github.com/haoheliu/ontology-aware-audio-tagging)|\n", "2111.06999": "|[quasifibrations of graphs to find symmetries in biological networks](https://arxiv.org/abs/2111.06999)|[qf](https://github.com/boldip/qf)|\n", "2112.01077": "|[blind super-resolution of point sources via projected gradient descent](https://arxiv.org/abs/2112.01077)|[pgdvhl](https://github.com/jcchen2017/pgdvhl)|\n", "2206.02604": "|[rate-distortion theoretic bounds on generalization error for distributed learning](https://arxiv.org/abs/2206.02604)|[datascience](https://github.com/romainchor/datascience)|\n"}, "2022-11-22": {"2111.02926": "|[openfwi: large-scale multi-structural benchmark datasets for seismic full waveform inversion](https://arxiv.org/abs/2111.02926)|[openfwi](https://github.com/lanl/openfwi)|\n", "2211.10527": "|[pmnet: robust pathloss map prediction via supervised learning](https://arxiv.org/abs/2211.10527)|[pmnet](https://github.com/abman23/pmnet)|\n", "2211.11176": "|[spatiotemporal modeling of multivariate signals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2211.11460": "|[motor imagery decoding using ensemble curriculum learning and collaborative training](https://arxiv.org/abs/2211.11460)|[ensemble-mi](https://github.com/gzoumpourlis/ensemble-mi)|\n", "2211.11580": "|[neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics](https://arxiv.org/abs/2211.11580)|[nn-turb](https://github.com/cgranerob/nn-turb)|\n", "1705.02436": "|[nonlinear information bottleneck](https://arxiv.org/abs/1705.02436)|[nonlinear-IB-PyTorch](https://github.com/burklight/nonlinear-IB-PyTorch)|\n", "1908.08642": "|[a novel approach to the partial information decomposition](https://arxiv.org/abs/1908.08642)|[redundancy](https://github.com/artemyk/redundancy)|\n", "2211.10856": "|[diffeomorphic information neural estimation](https://arxiv.org/abs/2211.10856)|[dine](https://github.com/baosws/dine)|\n"}, "2022-11-27": {}, 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completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n"}, "2022-11-29": {"2203.01442": "|[deformable radar polygon: a lightweight and predictable occupancy representation for short-range collision avoidance](https://arxiv.org/abs/2203.01442)|[deformable_radar_polygon_occupancy_representation](https://github.com/xiangyu-gao/deformable_radar_polygon_occupancy_representation)|\n", "2207.06120": "|[surimi: supervised radio map augmentation with deep learning and a generative adversarial network for fingerprint-based indoor positioning](https://arxiv.org/abs/2207.06120)|[surimi](https://github.com/darwinquezada/surimi)|\n", "2211.15379": "|[semi-supervised specific emitter identification method using metric-adversarial training](https://arxiv.org/abs/2211.15379)|[mat-based-ss-sei](https://github.com/lovelymimola/mat-based-ss-sei)|\n", "2211.15482": "|[discovering dynamic patterns from spatiotemporal data with time-varying low-rank autoregression](https://arxiv.org/abs/2211.15482)|[vars](https://github.com/xinychen/vars)|\n"}, "2022-11-30": {"2204.09079": "|[music source separation with generative flow](https://arxiv.org/abs/2204.09079)|[generativesourceseparation](https://github.com/gzhu06/generativesourceseparation)|\n", "2209.07604": "|[parallel faceted imaging in radio interferometry via proximal splitting (faceted hypersara): ii. code and real data proof of concept](https://arxiv.org/abs/2209.07604)|[faceted-hypersara](https://github.com/basp-group/faceted-hypersara)|\n", "2211.15365": "|[defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders](https://arxiv.org/abs/2211.15365)|[dae_for_adv_attacks_in_mimo](https://github.com/jess-jpg-txt/dae_for_adv_attacks_in_mimo)|\n", "2211.15997": "|[medalcare-xl: 16,900 healthy and pathological 12 lead ecgs obtained through electrophysiological simulations](https://arxiv.org/abs/2211.15997)|[fim_eikonal](https://github.com/kit-ibt/fim_eikonal)|\n", "2211.15744": "|[sketch-and-solve approaches to k-means clustering by semidefinite programming](https://arxiv.org/abs/2211.15744)|[sketch-and-solve_kmeans](https://github.com/kkylie/sketch-and-solve_kmeans)|\n"}, "2022-12-01": {"2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2211.16784": "|[robust and fast measure of information via low-rank representation](https://arxiv.org/abs/2211.16784)|[lrmi](https://github.com/gamepiaynmo/lrmi)|\n"}, "2022-12-02": {"2212.00710": "|[fully on-board low-power localization with multizone time-of-flight sensors on nano-uavs](https://arxiv.org/abs/2212.00710)|[Matrix_ToF_Drones](https://github.com/ETH-PBL/Matrix_ToF_Drones)|\n", "2212.00724": "|[swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition](https://arxiv.org/abs/2212.00724)|[SWL-Adapt](https://github.com/Rxannro/SWL-Adapt)|\n"}, "2022-12-03": {}, "2022-12-04": {}, "2022-12-05": {"2211.04167": "|[optimal discrete beamforming of reconfigurable intelligent surfaces](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2212.00973": "|[a domain-knowledge-inspired music embedding space and a novel attention mechanism for symbolic music modeling](https://arxiv.org/abs/2212.00973)|[fundamentalmusicembedding](https://github.com/guozixunnicolas/fundamentalmusicembedding)|\n", "2212.01209": "|[fecam: frequency enhanced channel attention mechanism for time series forecasting](https://arxiv.org/abs/2212.01209)|[fecam](https://github.com/zero-coder/fecam)|\n", "2212.01309": "|[wigner distribution deconvolution adaptation for live ptychography reconstruction](https://arxiv.org/abs/2212.01309)|[livewdd](https://github.com/ptychography-4-0/livewdd)|\n"}, "2022-12-06": {"2105.02786": "|[lggnet: learning from local-global-graph representations for brain-computer interface](https://arxiv.org/abs/2105.02786)|[LGG](https://github.com/yi-ding-cs/LGG)|\n", "2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2212.01421": "|[signal enhancement for two-dimensional cryo-em data processing](https://arxiv.org/abs/2212.01421)|[cryoemsignalenhancement](https://github.com/tamirbendory/cryoemsignalenhancement)|\n", "2212.01816": "|[joint graph learning from gaussian observations in the presence of hidden nodes](https://arxiv.org/abs/2212.01816)|[hidden_joint_gaussian_inf](https://github.com/reysam93/hidden_joint_gaussian_inf)|\n", "2212.02164": "|[spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks](https://arxiv.org/abs/2212.02164)|[Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks](https://github.com/shiwensuoluo/Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks)|\n", "2212.02417": "|[node-wise domain adaptation based on transferable attention for recognizing road rage via eeg](https://arxiv.org/abs/2212.02417)|[dataandcode](https://github.com/1cec0ffee/dataandcode)|\n", "2212.01572": "|[approximate message passing for multi-layer estimation in rotationally invariant models](https://arxiv.org/abs/2212.01572)|[ML-RI-GAMP](https://github.com/sparc-lab/ML-RI-GAMP)|\n"}, "2022-12-07": {"2203.16940": "|[direction of arrival estimation of sound sources using icosahedral cnns](https://arxiv.org/abs/2203.16940)|[icodoa](https://github.com/daviddiazguerra/icodoa)|\n", "2205.00222": "|[storseismic: a new paradigm in deep learning for seismic processing](https://arxiv.org/abs/2205.00222)|[storseismic](https://github.com/swag-kaust/storseismic)|\n"}, "2022-12-08": {"2106.07736": "|[unique sparse decomposition of low rank matrices](https://arxiv.org/abs/2106.07736)|[Unique_Fac_of_Low_Rank](https://github.com/Jindiande/Unique_Fac_of_Low_Rank)|\n", "2208.14017": "|[gridless 3d recovery of image sources from room impulse responses](https://arxiv.org/abs/2208.14017)|[acoustic-sfw](https://github.com/sprunckt/acoustic-sfw)|\n", "2212.03329": "|[enhancing low-density eeg-based brain-computer interfaces with similarity-keeping knowledge distillation](https://arxiv.org/abs/2212.03329)|[eeg-kd](https://github.com/cecnl/eeg-kd)|\n"}, "2022-12-09": {"2107.10331": "|[dynamic shimming in the cervical spinal cord for multi-echo gradient-echo imaging at 3 t](https://arxiv.org/abs/2107.10331)|[realtime-dynamic-shimming](https://github.com/neuropoly/realtime-dynamic-shimming)|\n", "2207.09418": "|[unrolled algorithms for group synchronization](https://arxiv.org/abs/2207.09418)|[unrolling_synchronization](https://github.com/noamjanco/unrolling_synchronization)|\n", "2212.04175": "|[greeneyes: an air quality evaluating model based on wavenet](https://arxiv.org/abs/2212.04175)|[AirEvaluation](https://github.com/AI-Huang/AirEvaluation)|\n", "2212.04223": "|[vicious classifiers: data reconstruction attack at inference time](https://arxiv.org/abs/2212.04223)|[vicious-classifiers](https://github.com/mmalekzadeh/vicious-classifiers)|\n"}, "2022-12-10": {}, "2022-12-11": {}, "2022-12-12": {"2205.11838": "|[model-based and graph-based priors for group testing](https://arxiv.org/abs/2205.11838)|[priors_group_testing](https://github.com/ethangela/priors_group_testing)|\n", "2212.04936": "|[deep conv-attention model for diagnosing left bundle branch block from 12-lead electrocardiograms](https://arxiv.org/abs/2212.04936)|[dilated_conv_attention.ipynb](https://github.com/alrzsdgh/LBBB-deep-learning/blob/main/dilated_conv_attention.ipynb)|\n", "2207.07748": "|[symbol-level grand for high-order modulation over flat fading channels](https://arxiv.org/abs/2207.07748)|[sGRAND](https://github.com/IoannisChatzigeorgiou/sGRAND)|\n", "2211.07208": "|[a lego-brick approach to coding for network communication](https://arxiv.org/abs/2211.07208)|[lego-brick](https://github.com/nadimgh/lego-brick)|\n"}, "2022-12-13": {"2110.02998": "|[federated learning via plurality vote](https://arxiv.org/abs/2110.02998)|[fedvote](https://github.com/kai-yue/fedvote)|\n", "2202.14005": "|[deep, deep learning with bart](https://arxiv.org/abs/2202.14005)|[deep-deep-learning-with-bart](https://github.com/mrirecon/deep-deep-learning-with-bart)|\n", "2205.01629": "|[autofi: towards automatic wifi human sensing via geometric self-supervised learning](https://arxiv.org/abs/2205.01629)|[wifi-csi-sensing-benchmark](https://github.com/xyanchen/wifi-csi-sensing-benchmark)|\n", "2212.02164": "|[spectral efficiency analysis of uplink-downlink decoupled access in c-v2x networks](https://arxiv.org/abs/2212.02164)|[Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks](https://github.com/shiwensuoluo/Spectral-Efficiency-Analysis-of-Uplink-Downlink-Decoupled-Access-in-C-V2X-Networks)|\n", "2212.05104": "|[max filtering with reflection groups](https://arxiv.org/abs/2212.05104)|[reflection-groups](https://github.com/daniel-packer/reflection-groups)|\n"}, "2022-12-14": {"2205.07390": "|[learning representations for new sound classes with continual self-supervised learning](https://arxiv.org/abs/2205.07390)|[cssl_sound](https://github.com/zhepeiw/cssl_sound)|\n", "2206.04992": "|[artificial intelligence enabled noma towards next generation multiple access](https://arxiv.org/abs/2206.04992)|[ai_noma](https://github.com/xiaoxiaxusummer/ai_noma)|\n"}, "2022-12-15": {"2207.07753": "|[do not sleep on traditional machine learning: simple and interpretable techniques are competitive to deep learning for sleep scoring](https://arxiv.org/abs/2207.07753)|[sleep-linear](https://github.com/predict-idlab/sleep-linear)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2212.07230": "|[network coding: an optimization approach](https://arxiv.org/abs/2212.07230)|[network_codes](https://github.com/christopherhojny/network_codes)|\n"}, "2022-12-16": {"2010.11647": "|[a quaternion-valued variational autoencoder](https://arxiv.org/abs/2010.11647)|[QVAE](https://github.com/eleGAN23/QVAE)|\n", "2104.05499": "|[l3das21 challenge: machine learning for 3d audio signal processing](https://arxiv.org/abs/2104.05499)|[L3DAS21](https://github.com/l3das/L3DAS21)|\n", "2202.10372": "|[l3das22 challenge: learning 3d audio sources in a real office environment](https://arxiv.org/abs/2202.10372)|[l3das22](https://github.com/l3das/l3das22)|\n", "2207.02242": "|[state-augmented learnable algorithms for resource management in wireless networks](https://arxiv.org/abs/2207.02242)|[stateaugmented_rrm_gnn](https://github.com/navid-naderi/stateaugmented_rrm_gnn)|\n", "2212.07816": "|[duidd: deep-unfolded interleaved detection and decoding for mimo wireless systems](https://arxiv.org/abs/2212.07816)|[duidd](https://github.com/iip-group/duidd)|\n"}, "2022-12-17": {}, "2022-12-18": {}, "2022-12-19": {"2207.07859": "|[deep learning and its applications to wifi human sensing: a benchmark and a tutorial](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2212.08558": "|[simulating road spray effects in automotive lidar sensor models](https://arxiv.org/abs/2212.08558)|[reflection_based_lidar_object_model](https://github.com/openmsl/reflection_based_lidar_object_model)|\n"}, "2022-12-20": {"2112.02628": "|[enhancement of a state-of-the-art rl-based detection algorithm for massive mimo radars](https://arxiv.org/abs/2112.02628)|[improved_rl_algorithm_mmimo_radar](https://github.com/lisifra96/improved_rl_algorithm_mmimo_radar)|\n", "2207.12362": "|[openran gym: ai/ml development, data collection, and testing for o-ran on pawr platforms](https://arxiv.org/abs/2207.12362)|[colosseum-near-rt-ric](https://github.com/wineslab/colosseum-near-rt-ric)|\n", "2212.09019": "|[fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement](https://arxiv.org/abs/2212.09019)|[FullSubNet](https://github.com/haoxiangsnr/FullSubNet)|\n"}, "2022-12-21": {"2203.02102": "|[beats: an open-source, high-precision, multi-channel eeg acquisition tool system](https://arxiv.org/abs/2203.02102)|[beats](https://github.com/buptanteeg/beats)|\n", "2209.08223": "|[joint network topology inference via a shared graphon model](https://arxiv.org/abs/2209.08223)|[jointinf_graphs_graphon](https://github.com/mn51/jointinf_graphs_graphon)|\n"}, "2022-12-22": {"2210.04818": "|[rhombic grids reduce the number of voxels in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2210.04818)|[rhombic_grids](https://github.com/mschiffn/rhombic_grids)|\n", "2212.10567": "|[anticancer peptides classification using kernel sparse representation classifier](https://arxiv.org/abs/2212.10567)|[acp-kernel-src](https://github.com/ehtisham-fazal/acp-kernel-src)|\n", "2203.00804": "|[nestanets: stable, accurate and efficient neural networks for analysis-sparse inverse problems](https://arxiv.org/abs/2203.00804)|[as-nesta-net](https://github.com/mneyrane/as-nesta-net)|\n"}, "2022-12-23": {"2212.11594": "|[electromagnetic based communication model for dynamic metasurface antennas](https://arxiv.org/abs/2212.11594)|[dma_model](https://github.com/robinjw/dma_model)|\n"}, "2022-12-24": {}, "2022-12-25": {}, "2022-12-26": {"2206.04420": "|[neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy](https://arxiv.org/abs/2206.04420)|[downsample_open_eeg](https://github.com/otoolej/downsample_open_eeg)|\n", "2210.10855": "|[spectral subspace dictionary learning](https://arxiv.org/abs/2210.10855)|[spectral_dict_learn](https://github.com/sew347/spectral_dict_learn)|\n", "2212.12191": "|[deep unfolding-based weighted averaging for federated learning under heterogeneous environments](https://arxiv.org/abs/2212.12191)|[deepunfolding-based-fl](https://github.com/a-nakai-k/deepunfolding-based-fl)|\n"}, "2022-12-27": {"2112.13630": "|[permutation matrix modulation](https://arxiv.org/abs/2112.13630)|[permutation-matrix-modulation](https://github.com/faddlis/permutation-matrix-modulation)|\n", "2203.00418": "|[recovery of missing sensor data by reconstructing time-varying graph signals](https://arxiv.org/abs/2203.00418)|[EUSIPCO_22_Sobolev](https://github.com/anindya2001/EUSIPCO_22_Sobolev)|\n", "2212.12998": "|[link-level simulator for 5g localization](https://arxiv.org/abs/2212.12998)|[5G_Positioning_Link_Level_Simulator%20v1.0.rar](https://github.com/Group85GP/Group85GP/blob/main/5G_Positioning_Link_Level_Simulator%20v1.0.rar)|\n", "1905.06859": "|[doubly transitive lines ii: almost simple symmetries](https://arxiv.org/abs/1905.06859)|[2-tran-II](https://github.com/jwiverson/2-tran-II)|\n"}, "2022-12-28": {}, "2022-12-29": {"2212.13477": "|[clock and orientation-robust simultaneous radio localization and mapping at millimeter wave bands](https://arxiv.org/abs/2212.13477)|[castro-5g](https://github.com/gomezcuba/castro-5g)|\n", "2212.13890": "|[ecg-based electrolyte prediction: evaluating regression and probabilistic methods](https://arxiv.org/abs/2212.13890)|[ecg-electrolyte-regression](https://github.com/philippvb/ecg-electrolyte-regression)|\n", "1203.3442": "|[a low multiplicative complexity fast recursive dct-2 algorithm](https://arxiv.org/abs/1203.3442)|[Fast_recursive_DCT](https://github.com/Mak-Sim/Fast_recursive_DCT)|\n"}, "2022-12-30": {}, "2022-12-31": {}, "2023-01-01": {}, "2023-01-02": {"2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2208.08342": "|[semantic communications with discrete-time analog transmission: a papr perspective](https://arxiv.org/abs/2208.08342)|[semanticpapr](https://github.com/lynshao/semanticpapr)|\n", "2212.14051": "|[power control for 6g industrial wireless subnetworks: a graph neural network approach](https://arxiv.org/abs/2212.14051)|[Power_Control_GNN](https://github.com/danieloaAAU/Power_Control_GNN)|\n", "2212.14353": "|[sheaf-theoretic self-filtering network of low-cost sensors for local air quality monitoring: a causal approach](https://arxiv.org/abs/2212.14353)|[AirSheaf](https://github.com/a11to1n3/AirSheaf)|\n", "2212.14550": "|[similarity-based predictive maintenance framework for rotating machinery](https://arxiv.org/abs/2212.14550)|[similarity-based-predictive-maintenance-framework-for-rotating-machinery](https://github.com/western-oc2-lab/similarity-based-predictive-maintenance-framework-for-rotating-machinery)|\n", "2212.14732": "|[lab-scale vibration analysis dataset and baseline methods for machinery fault diagnosis with machine learning](https://arxiv.org/abs/2212.14732)|[vbl-va001](https://github.com/bagustris/vbl-va001)|\n"}, "2023-01-03": {"2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2110.04717": "|[rtsnet: learning to smooth in partially known state-space models](https://arxiv.org/abs/2110.04717)|[rtsnet_tsp](https://github.com/kalmannet/rtsnet_tsp)|\n", "2210.02980": "|[deep learning of near field beam focusing in terahertz wideband massive mimo systems](https://arxiv.org/abs/2210.02980)|[nfwb_bf](https://github.com/yuzhang-github/nfwb_bf)|\n", "2301.00369": "|[learn to rapidly and robustly optimize hybrid precoding](https://arxiv.org/abs/2301.00369)|[learn-to-rapidly-optimize-hybrid-precoding](https://github.com/ortalagiv/learn-to-rapidly-optimize-hybrid-precoding)|\n", "2301.00776": "|[fusing models for prognostics and health management of lithium-ion batteries based on physics-informed neural networks](https://arxiv.org/abs/2301.00776)|[PINN-Battery-Prognostics](https://github.com/WenPengfei0823/PINN-Battery-Prognostics)|\n", "2301.00557": "|[learning to maximize mutual information for dynamic feature selection](https://arxiv.org/abs/2301.00557)|[dynamic-selection](https://github.com/iancovert/dynamic-selection)|\n", "2301.00621": "|[data-driven optimization of directed information over discrete alphabets](https://arxiv.org/abs/2301.00621)|[discrete_di_optimization](https://github.com/dortsur/discrete_di_optimization)|\n"}, "2023-01-04": {"2209.07655": "|[multiscale adaptive scheduling and path-planning for power-constrained uav-relays via smdps](https://arxiv.org/abs/2209.07655)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2212.14006": "|[anxolotl, an anxiety companion app -- stress detection](https://arxiv.org/abs/2212.14006)|[cfp-workshop-and-challenge-wellbeing](https://github.com/matpato/cfp-workshop-and-challenge-wellbeing)|\n", "2102.13416": "|[moreau-yosida $f$-divergences](https://arxiv.org/abs/2102.13416)|[moreau-yosida-f-divergences](https://github.com/renyi-ai/moreau-yosida-f-divergences)|\n"}, "2023-01-05": {"2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n"}, "2023-01-06": {"2111.04593": "|[frequency-dependent f-number increases the contrast and the spatial resolution in fast pulse-echo ultrasound imaging](https://arxiv.org/abs/2111.04593)|[f_number](https://github.com/mschiffn/f_number)|\n"}, "2023-01-07": {}, "2023-01-08": {}, "2023-01-09": {"2102.10846": "|[expanding boundaries of gap safe screening](https://arxiv.org/abs/2102.10846)|[kl_screening](https://github.com/cassiofragadantas/kl_screening)|\n"}, "2023-01-10": {"2202.02673": "|[physfad: physics-based end-to-end channel modeling of ris-parametrized environments with adjustable fading](https://arxiv.org/abs/2202.02673)|[physfad](https://github.com/philipp-delhougne/physfad)|\n", "2301.02750": "|[principal component analysis in space forms](https://arxiv.org/abs/2301.02750)|[HoroPCA](https://github.com/HazyResearch/HoroPCA)|\n", "2301.03092": "|[deep injective prior for inverse scattering](https://arxiv.org/abs/2301.03092)|[scattering_injective_prior](https://github.com/swing-research/scattering_injective_prior)|\n", "2301.03470": "|[unsupervised multivariate time-series transformers for seizure identification on eeg](https://arxiv.org/abs/2301.03470)|[eeg_mvts](https://github.com/ilkyyldz95/eeg_mvts)|\n", "2211.05350": "|[the entropy rate of linear additive markov processes](https://arxiv.org/abs/2211.05350)|[LAMPEntropyEstimates](https://github.com/bridget-smart/LAMPEntropyEstimates)|\n"}, "2023-01-11": {"2108.00785": "|[bayesian active meta-learning for few pilot demodulation and equalization](https://arxiv.org/abs/2108.00785)|[bayesian_active_meta_learning](https://github.com/kclip/bayesian_active_meta_learning)|\n", "2202.03875": "|[mixcycle: unsupervised speech separation via cyclic mixture permutation invariant training](https://arxiv.org/abs/2202.03875)|[mixcycle](https://github.com/ertug/mixcycle)|\n", "2205.07390": "|[learning representations for new sound classes with continual self-supervised learning](https://arxiv.org/abs/2205.07390)|[cssl_sound](https://github.com/zhepeiw/cssl_sound)|\n", "2206.10968": "|[multiple-access channel coding with non-signaling correlations](https://arxiv.org/abs/2206.10968)|[mac_ns_lp](https://github.com/pferme/mac_ns_lp)|\n"}, "2023-01-12": {"2109.10581": "|[da-music: data-driven doa estimation via deep augmented music algorithm](https://arxiv.org/abs/2109.10581)|[tvt23](https://github.com/da-music/tvt23)|\n"}, "2023-01-13": {"2204.03173": "|[automated sleep staging via parallel frequency-cut attention](https://arxiv.org/abs/2204.03173)|[transformer_sleep](https://github.com/zhengchen3/transformer_sleep)|\n", "2301.04861": "|[grant-free random access of iot devices in massive mimo with partial csi](https://arxiv.org/abs/2301.04861)|[grant-free-random-access-partial-csi](https://github.com/wavecore-research/grant-free-random-access-partial-csi)|\n", "2102.12586": "|[a stochastic optimization framework for fair risk minimization](https://arxiv.org/abs/2102.12586)|[FERMI](https://github.com/optimization-for-data-driven-science/FERMI)|\n"}, "2023-01-14": {}, "2023-01-15": {}, "2023-01-16": {"2210.16118": "|[imitation learning-based implicit semantic-aware communication networks: multi-layer representation and collaborative reasoning](https://arxiv.org/abs/2210.16118)|[irml](https://github.com/zjs919/irml)|\n"}, "2023-01-17": {"2206.02298": "|[mical: mutual information-based cnn-aided learned factor graphs for seizure detection from eeg signals](https://arxiv.org/abs/2206.02298)|[cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical](https://github.com/bsalafia/cnn-aided-factor-graphs-with-estimated-mutual-information-features-for-seizure-detection-mical)|\n"}, "2023-01-18": {"2004.11690": "|[q-eegnet: an energy-efficient 8-bit quantized parallel eegnet implementation for edge motor-imagery brain--machine interfaces](https://arxiv.org/abs/2004.11690)|[q-eegnet](https://github.com/pulp-platform/q-eegnet)|\n", "2012.02134": "|[k-deep simplex: deep manifold learning via local dictionaries](https://arxiv.org/abs/2012.02134)|[manifold-learning-with-simplex-constraints](https://github.com/pbt17/manifold-learning-with-simplex-constraints)|\n", "2205.11838": "|[model-based and graph-based priors for group testing](https://arxiv.org/abs/2205.11838)|[priors_group_testing](https://github.com/ethangela/priors_group_testing)|\n", "2207.01556": "|[semi-blind source separation using convolutive transfer function for nonlinear acoustic echo cancellation](https://arxiv.org/abs/2207.01556)|[audio-samples2](https://github.com/chengguoliang0/audio-samples2)|\n", "2208.07448": "|[self-supervised learning for anomalous channel detection in eeg graphs: application to seizure analysis](https://arxiv.org/abs/2208.07448)|[EEG-CGS](https://github.com/Armanfard-Lab/EEG-CGS)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2202.09298": "|[stratified multivariate multiscale dispersion entropy for physiological signal analysis](https://arxiv.org/abs/2202.09298)|[smvmde](https://github.com/evangeloskafantaris/smvmde)|\n", "2301.06060": "|[crc-aided learned ensembles of belief-propagation polar decoders](https://arxiv.org/abs/2301.06060)|[polar-ensembles](https://github.com/tomerraviv95/polar-ensembles)|\n"}, "2023-01-19": {"2102.04170": "|[learning task-oriented communication for edge inference: an information bottleneck approach](https://arxiv.org/abs/2102.04170)|[VL-VFE](https://github.com/shaojiawei07/VL-VFE)|\n", "2208.00542": "|[descod-ecg: deep score-based diffusion model for ecg baseline wander and noise removal](https://arxiv.org/abs/2208.00542)|[score-based-ecg-denoising](https://github.com/huayuliarizona/score-based-ecg-denoising)|\n", "2210.05582": "|[digital twin-based multiple access optimization and monitoring via model-driven bayesian learning](https://arxiv.org/abs/2210.05582)|[bayesian-dt](https://github.com/kclip/bayesian-dt)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2301.07452": "|[sen2dwater: a novel multispectral and multitemporal dataset and deep learning benchmark for water resources analysis](https://arxiv.org/abs/2301.07452)|[impact-of-climate-change-on-water-resources](https://github.com/francescomauro1998/impact-of-climate-change-on-water-resources)|\n"}, "2023-01-20": {"2301.07820": "|[emergence of the svd as an interpretable factorization in deep learning for inverse problems](https://arxiv.org/abs/2301.07820)|[descrambling-nn](https://github.com/shashanksule/descrambling-nn)|\n"}, "2023-01-21": {}, "2023-01-22": {}, "2023-01-23": {"2301.08448": "|[source-free subject adaptation for eeg-based visual recognition](https://arxiv.org/abs/2301.08448)|[Deep-BCI](https://github.com/DeepBCI/Deep-BCI)|\n"}, "2023-01-24": {"2301.09126": "|[propagation of linear uncertainties through multiline thru-reflect-line calibration](https://arxiv.org/abs/2301.09126)|[uncertainty-multiline-trl-calibration](https://github.com/ZiadHatab/uncertainty-multiline-trl-calibration)|\n", "2301.09165": "|[energy prediction using federated learning](https://arxiv.org/abs/2301.09165)|[energy_prediction](https://github.com/sanjana-sarda/energy_prediction)|\n"}, "2023-01-25": {"2201.12634": "|[deep task-based analog-to-digital conversion](https://arxiv.org/abs/2201.12634)|[adc-learning-hyperopt](https://github.com/arielamar123/adc-learning-hyperopt)|\n", "2301.09439": "|[autoencoder-based joint communication and sensing of multiple targets](https://arxiv.org/abs/2301.09439)|[JCAS_multitarg](https://github.com/frozenhairdryer/JCAS_multitarg)|\n", "2301.10171": "|[spectral cross-domain neural network with soft-adaptive threshold spectral enhancement](https://arxiv.org/abs/2301.10171)|[scdnn-ts](https://github.com/dl-wg/scdnn-ts)|\n", "2211.08327": "|[weighted sum-rate maximization with causal inference for latent interference estimation](https://arxiv.org/abs/2211.08327)|[research-weighted-sum-rate](https://github.com/youlei202/research-weighted-sum-rate)|\n"}, "2023-01-26": {"2010.12133": "|[an inertial block majorization minimization framework for nonsmooth nonconvex optimization](https://arxiv.org/abs/2010.12133)|[TITAN](https://github.com/nhatpd/TITAN)|\n", "2102.05433": "|[a framework of inertial alternating direction method of multipliers for non-convex non-smooth optimization](https://arxiv.org/abs/2102.05433)|[iADMM](https://github.com/nhatpd/iADMM)|\n", "2206.08022": "|[partial identifiability for nonnegative matrix factorization](https://arxiv.org/abs/2206.08022)|[nmf-partial-identifiability](https://gitlab.com/ngillis/nmf-partial-identifiability)|\n", "2301.10445": "|[high-throughput rate-flexible combinational decoders for multi-kernel polar codes](https://arxiv.org/abs/2301.10445)|[polar-compiler](https://github.com/hosseinrezaeii91/polar-compiler)|\n"}, "2023-01-27": {"2301.11166": "|[flex-net: a graph neural network approach to resource management in flexible duplex networks](https://arxiv.org/abs/2301.11166)|[flex-net](https://github.com/tharaka-perera/flex-net)|\n"}, "2023-01-28": {}, "2023-01-29": {}, "2023-01-30": {"2210.05582": "|[digital twin-based multiple access optimization and monitoring via model-driven bayesian learning](https://arxiv.org/abs/2210.05582)|[bayesian-dt](https://github.com/kclip/bayesian-dt)|\n", "2301.11450": "|[smile: robust network localization via sparse and low-rank matrix decomposition](https://arxiv.org/abs/2301.11450)|[smile-network-localization](https://github.com/anrgusc/smile-network-localization)|\n"}, "2023-01-31": {"2110.05266": "|[chaos as an interpretable benchmark for forecasting and data-driven modelling](https://arxiv.org/abs/2110.05266)|[dysts](https://github.com/williamgilpin/dysts)|\n", "2211.02922": "|[beyond hawkes: neural multi-event forecasting on spatio-temporal point processes](https://arxiv.org/abs/2211.02922)|[neural-spatio-temporal-probabilistic-transformers](https://github.com/negar-erfanian/neural-spatio-temporal-probabilistic-transformers)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[audioldm_eval](https://github.com/haoheliu/audioldm_eval)|\n", "2301.12466": "|[kernelized cumulants: beyond kernel mean embeddings](https://arxiv.org/abs/2301.12466)|[kernelized-cumulants](https://github.com/patricbonnier/kernelized-cumulants)|\n"}, "2023-02-01": {"2301.13516": "|[recurrences reveal shared causal drivers of complex time series](https://arxiv.org/abs/2301.13516)|[shrec](https://github.com/williamgilpin/shrec)|\n", "2301.13647": "|[bayesian estimation of information-theoretic metrics for sparsely sampled distributions](https://arxiv.org/abs/2301.13647)|[info-metric-estimation](https://github.com/angelopiga/info-metric-estimation)|\n"}, "2023-02-02": {"2209.13553": "|[source detection via multi-label classification](https://arxiv.org/abs/2209.13553)|[Signal_detector](https://github.com/jkrishnan95v/Signal_detector)|\n"}, "2023-02-03": {"2212.04172": "|[closed loop bci system for cybathlon 2020](https://arxiv.org/abs/2212.04172)|[GoPar](https://github.com/kolcs/GoPar)|\n", "2302.00992": "|[exposing the csi: a systematic investigation of csi-based wi-fi sensing capabilities and limitations](https://arxiv.org/abs/2302.00992)|[exposing-the-csi](https://github.com/ansresearch/exposing-the-csi)|\n", "2204.01612": "|[neural estimation of the rate-distortion function with applications to operational source coding](https://arxiv.org/abs/2204.01612)|[nerd-rcc](https://github.com/leieric/nerd-rcc)|\n", "2211.02863": "|[inductive graph transformer for delivery time estimation](https://arxiv.org/abs/2211.02863)|[igt-wsdm23](https://github.com/enoche/igt-wsdm23)|\n"}, "2023-02-04": {}, "2023-02-05": {}, "2023-02-06": {"2207.08100": "|[load modulation for backscatter communication: channel capacity and capacity-approaching finite constellations](https://arxiv.org/abs/2207.08100)|[backscatteratcapacity](https://github.com/grdu/backscatteratcapacity)|\n", "2208.11333": "|[enhancing deep learning performance of massive mimo csi feedback](https://arxiv.org/abs/2208.11333)|[jpts](https://github.com/sijieji/jpts)|\n", "2302.00847": "|[low-complexity precoding for extremely large-scale mimo over non-stationary channels](https://arxiv.org/abs/2302.00847)|[Low-complexity-precoding-algorithm-for-XL-MIMO](https://github.com/bokaixu5/Low-complexity-precoding-algorithm-for-XL-MIMO)|\n", "2302.01924": "|[self-supervised enhancement of stimulus-evoked brain response data](https://arxiv.org/abs/2302.01924)|[shift_detection_icassp2023](https://github.com/exporl/shift_detection_icassp2023)|\n"}, "2023-02-07": {"2007.01228": "|[maestro-x: distributed orchestration of rotary-wing uav-relay swarms](https://arxiv.org/abs/2007.01228)|[MAESTRO-X](https://github.com/bharathkeshavamurthy/MAESTRO-X)|\n", "2111.02912": "|[efficient approximation of jacobian matrices involving a non-uniform fast fourier transform (nufft)](https://arxiv.org/abs/2111.02912)|[Bjork](https://github.com/guanhuaw/Bjork)|\n", "2202.03835": "|[a covariant, discrete time-frequency representation tailored for zero-based signal detection](https://arxiv.org/abs/2202.03835)|[kravchuk-transform-and-its-zeros](https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros)|\n", "2208.12472": "|[graph-based sequential beamforming](https://arxiv.org/abs/2208.12472)|[sequentialvariationalbayesdoa](https://github.com/noiselabucsd/sequentialvariationalbayesdoa)|\n", "2302.02302": "|[achieving robust generalization for wireless channel estimation neural networks by designed training data](https://arxiv.org/abs/2302.02302)|[ICC_2023](https://github.com/dianixn/ICC_2023)|\n", "2302.02436": "|[modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers](https://arxiv.org/abs/2302.02436)|[bayesian-learning-for-receivers](https://github.com/tomerraviv95/bayesian-learning-for-receivers)|\n"}, "2023-02-08": {"2203.01178": "|[dct-former: efficient self-attention with discrete cosine transform](https://arxiv.org/abs/2203.01178)|[dct-former-public](https://github.com/cscribano/dct-former-public)|\n", "2210.00941": "|[unsupervised multimodal change detection based on structural relationship graph representation learning](https://arxiv.org/abs/2210.00941)|[srgcae](https://github.com/chenhongruixuan/srgcae)|\n", "2302.03633": "|[identification of power system oscillation modes using blind source separation based on copula statistic](https://arxiv.org/abs/2302.03633)|[hobmi](https://github.com/apooja1/hobmi)|\n"}, "2023-02-09": {"1904.01775": "|[multimodal representation learning using deep multiset canonical correlation](https://arxiv.org/abs/1904.01775)|[mica-deep-mcca](https://github.com/usc-sail/mica-deep-mcca)|\n", "2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2302.04097": "|[astride: adaptive symbolization for time series databases](https://arxiv.org/abs/2302.04097)|[astride](https://github.com/sylvaincom/astride)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.04215": "|[a vector quantized approach for text to speech synthesis on real-world spontaneous speech](https://arxiv.org/abs/2302.04215)|[mqtts](https://github.com/b04901014/mqtts)|\n"}, "2023-02-10": {"2302.02477": "|[offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment](https://arxiv.org/abs/2302.02477)|[vlbm](https://github.com/gaoqitong/vlbm)|\n", "2302.04368": "|[channelformer: attention based neural solution for wireless channel estimation and effective online training](https://arxiv.org/abs/2302.04368)|[Channelformer](https://github.com/dianixn/Channelformer)|\n", "2209.01180": "|[software tools for decoding quantum low-density parity check codes](https://arxiv.org/abs/2209.01180)|[qecc](https://github.com/lucasberent/qecc)|\n", "2302.04855": "|[trading information between latents in hierarchical variational autoencoders](https://arxiv.org/abs/2302.04855)|[hit](https://github.com/timxzz/hit)|\n"}, "2023-02-11": {}, "2023-02-12": {}, "2023-02-13": {"2202.10371": "|[coordinated sum-rate maximization in multicell mu-mimo with deep unrolling](https://arxiv.org/abs/2202.10371)|[gcnwmmse](https://github.com/lsky96/gcnwmmse)|\n", "2302.05151": "|[binomial line cox processes: statistical characterization and applications in wireless network analysis](https://arxiv.org/abs/2302.05151)|[blcp](https://github.com/mt19146/blcp)|\n"}, "2023-02-14": {"2110.15278": "|[self-supervised eeg representation learning for automatic sleep staging](https://arxiv.org/abs/2110.15278)|[contrawr](https://github.com/ycq091044/contrawr)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2203.14359": "|[online meta-learning for hybrid model-based deep receivers](https://arxiv.org/abs/2203.14359)|[metadeepsic](https://github.com/tomerraviv95/metadeepsic)|\n", "2205.06306": "|[probabilistic estimation of instantaneous frequencies of chirp signals](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2302.05812": "|[software-defined mimo ofdm joint radar-communication platform with fully digital mmwave architecture](https://arxiv.org/abs/2302.05812)|[gr-mimo-ofdm-jrc](https://github.com/ceyhunozkaptan/gr-mimo-ofdm-jrc)|\n", "2202.00129": "|[fundamental limits for sensor-based robot control](https://arxiv.org/abs/2202.00129)|[performance-limits](https://github.com/irom-lab/performance-limits)|\n", "2301.06060": "|[crc-aided learned ensembles of belief-propagation polar decoders](https://arxiv.org/abs/2301.06060)|[polar-ensembles](https://github.com/tomerraviv95/polar-ensembles)|\n", "2302.05869": "|[efficient integer retrieving from unordered compressed sequences](https://arxiv.org/abs/2302.05869)|[directaccess](https://github.com/zavadsky/directaccess)|\n"}, "2023-02-15": {"2208.06991": "|[towards interpretable sleep stage classification using cross-modal transformers](https://arxiv.org/abs/2208.06991)|[cross-modal-transformer](https://github.com/jathurshan0330/cross-modal-transformer)|\n", "2302.06683": "|[enhancing multivariate time series classifiers through self-attention and relative positioning infusion](https://arxiv.org/abs/2302.06683)|[timeseriesclassification-tps](https://github.com/mehryar72/timeseriesclassification-tps)|\n", "2302.07153": "|[a novel poisoned water detection method using smartphone embedded wi-fi technology and machine learning algorithms](https://arxiv.org/abs/2302.07153)|[poisoned_water_detection](https://github.com/halgurd18/poisoned_water_detection)|\n", "2302.07190": "|[context query simulation for smart carparking scenarios in the melbourne cdb](https://arxiv.org/abs/2302.07190)|[context-query-simulator](https://github.com/shakthiyasas/context-query-simulator)|\n"}, "2023-02-16": {"2302.07601": "|[deep learning for hybrid beamforming with finite feedback in gsm aided mmwave mimo systems](https://arxiv.org/abs/2302.07601)|[gsmefbnet](https://github.com/kylin9511/gsmefbnet)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n"}, "2023-02-17": {"2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n", "2210.13297": "|[stimulus-informed generalized canonical correlation analysis of stimulus-following brain responses](https://arxiv.org/abs/2210.13297)|[si-gcca](https://github.com/alexanderbertrandlab/si-gcca)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2302.08053": "|[selective noise suppression in random svpwm to shape the voltage and current spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2302.08444": "|[a millimeter-wave software-defined radio for wireless experimentation](https://arxiv.org/abs/2302.08444)|[mmwavesdr](https://github.com/alphansahin/mmwavesdr)|\n"}, "2023-02-18": {}, "2023-02-19": {}, "2023-02-20": {"2207.06127": "|[mm-alt: a multimodal automatic lyric transcription system](https://arxiv.org/abs/2207.06127)|[MM_ALT](https://github.com/guxm2021/MM_ALT)|\n", "2207.07859": "|[sensefi: a library and benchmark on deep-learning-empowered wifi human sensing](https://arxiv.org/abs/2207.07859)|[wifi-csi-sensing-benchmark](https://github.com/chenxinyan-sg/wifi-csi-sensing-benchmark)|\n", "2208.07830": "|[detecting non-overlapping signals with dynamic programming](https://arxiv.org/abs/2208.07830)|[Signal-detection-with-dynamic-programming](https://github.com/MordechaiRoth1/Signal-detection-with-dynamic-programming)|\n", "2210.05888": "|[calibration and uncertainty characterization for ultra-wideband two-way-ranging measurements](https://arxiv.org/abs/2210.05888)|[uwb_calibration](https://github.com/decargroup/uwb_calibration)|\n", "2211.08491": "|[real-time wireless ecg-derived respiration rate estimation using an autoencoder with a dct layer](https://arxiv.org/abs/2211.08491)|[icassp2023-ae-dct](https://github.com/phy710/icassp2023-ae-dct)|\n", "2301.11328": "|[cell-free isac mimo systems: joint sensing and communication beamforming](https://arxiv.org/abs/2301.11328)|[Cell-free-ISAC-beamforming](https://github.com/umut-demirhan/Cell-free-ISAC-beamforming)|\n", "2301.12503": "|[audioldm: text-to-audio generation with latent diffusion models](https://arxiv.org/abs/2301.12503)|[audioldm_eval](https://github.com/haoheliu/audioldm_eval)|\n", "2302.08584": "|[propagation measurements and analyses at 28 ghz via an autonomous beam-steering platform](https://arxiv.org/abs/2302.08584)|[SPAVE-28G](https://github.com/bharathkeshavamurthy/SPAVE-28G)|\n", "2302.08797": "|[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|\n", "2302.09022": "|[smart 6g sky for green mobile iot networks](https://arxiv.org/abs/2302.09022)|[smart-6g-sky-for-green-mobile-iot-networks](https://github.com/qusaibshiwa/smart-6g-sky-for-green-mobile-iot-networks)|\n", "2204.09938": "|[ultra-marginal feature importance: learning from data with causal guarantees](https://arxiv.org/abs/2204.09938)|[umfi](https://github.com/hydroml/umfi)|\n", "2205.08406": "|[raw radar data based object detection and heading estimation using cross attention](https://arxiv.org/abs/2205.08406)|[crossattention_radar_detector](https://github.com/ravikothari510/crossattention_radar_detector)|\n", "2302.09057": "|[consistent diffusion models: mitigating sampling drift by learning to be consistent](https://arxiv.org/abs/2302.09057)|[cdm](https://github.com/giannisdaras/cdm)|\n"}, "2023-02-21": {"2205.11578": "|[bolt: fused window transformers for fmri time series analysis](https://arxiv.org/abs/2205.11578)|[bolt](https://github.com/icon-lab/bolt)|\n", "2207.07466": "|[towards unsupervised assessment with open-source data of the accuracy of deep learning-based distributed pv mapping](https://arxiv.org/abs/2207.07466)|[deeppvmapper](https://github.com/gabrielkasmi/deeppvmapper)|\n", "2211.13006": "|[quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2211.13006)|[qcs-sgm](https://github.com/mengxiangming/qcs-sgm)|\n", "2302.09332": "|[incipient fault detection in power distribution system: a time-frequency embedded deep learning based approach](https://arxiv.org/abs/2302.09332)|[AD-TFM-AT-Model](https://github.com/smartlab-hfut/AD-TFM-AT-Model)|\n", "2302.10073": "|[implementation of dnn based data detector for qpsk systems](https://arxiv.org/abs/2302.10073)|[qpsk_sdr_dnn_detector](https://github.com/abadi13/qpsk_sdr_dnn_detector)|\n", "2302.10147": "|[a dnn based normalized time-frequency weighted criterion for robust wideband doa estimation](https://arxiv.org/abs/2302.10147)|[dnnnormtimefreq4doa](https://github.com/kjason/dnnnormtimefreq4doa)|\n", "2209.15265": "|[overparameterized relu neural networks learn the simplest models: neural isometry and exact recovery](https://arxiv.org/abs/2209.15265)|[neural-recovery](https://github.com/pilancilab/neural-recovery)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2302.09930": "|[nystr\\\"om $m$-hilbert-schmidt independence criterion](https://arxiv.org/abs/2302.09930)|[nystroem-mhsic](https://github.com/flopska/nystroem-mhsic)|\n"}, "2023-02-22": {"2002.04960": "|[power scaling laws and near-field behaviors of massive mimo and intelligent reflecting surfaces](https://arxiv.org/abs/2002.04960)|[near-field-behavior](https://github.com/emilbjornson/near-field-behavior)|\n", "2210.15975": "|[lightweight and high-fidelity end-to-end text-to-speech with multi-band generation and inverse short-time fourier transform](https://arxiv.org/abs/2210.15975)|[mb-istft-vits](https://github.com/masayakawamura/mb-istft-vits)|\n", "2301.08883": "|[versatile neural processes for learning implicit neural representations](https://arxiv.org/abs/2301.08883)|[versatile-np](https://github.com/zongyuguo/versatile-np)|\n", "2302.10515": "|[energy-efficient blockchain-enabled user-centric mobile edge computing](https://arxiv.org/abs/2302.10515)|[blockchain-enabled-ucmec](https://github.com/qlt315/blockchain-enabled-ucmec)|\n", "2302.10558": "|[joint optimization of base station clustering and service caching in user-centric mec](https://arxiv.org/abs/2302.10558)|[jo-cdsd](https://github.com/qlt315/jo-cdsd)|\n", "2302.10810": "|[a local machine learning approach for fingerprint-based indoor localization](https://arxiv.org/abs/2302.10810)|[-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization](https://github.com/noraagah/-a-local-machine-learning-approach-for-fingerprint-based-indoor-localization)|\n", "2302.10701": "|[scalable infomin learning](https://arxiv.org/abs/2302.10701)|[infomin](https://github.com/cyz-ai/infomin)|\n"}, "2023-02-23": {"2011.04794": "|[estimating total correlation with mutual information estimators](https://arxiv.org/abs/2011.04794)|[tc-estimation](https://github.com/linear95/tc-estimation)|\n", "2202.06365": "|[unsourced multiple access with random user activity](https://arxiv.org/abs/2202.06365)|[uma_random_user_activity](https://github.com/khachoang1412/uma_random_user_activity)|\n"}, "2023-02-24": {"2105.13585": "|[information fragmentation, encryption and information flow in complex biological networks](https://arxiv.org/abs/2105.13585)|[fragmentation_replication_instructions](https://github.com/cliff-bohm/fragmentation_replication_instructions)|\n", "2112.09162": "|[nonparametric two-sample testing by betting](https://arxiv.org/abs/2112.09162)|[nonparametric-testing-by-betting](https://github.com/sshekhar17/nonparametric-testing-by-betting)|\n", "2301.13647": "|[bayesian estimation of information-theoretic metrics for sparsely sampled distributions](https://arxiv.org/abs/2301.13647)|[info-metric-estimation](https://github.com/angelopiga/info-metric-estimation)|\n", "2302.11654": "|[information theory inspired pattern analysis for time-series data](https://arxiv.org/abs/2302.11654)|[entropypipeline](https://github.com/yushan-huang/entropypipeline)|\n", "2302.11669": "|[rna secondary structures: from ab initio prediction to better compression, and back](https://arxiv.org/abs/2302.11669)|[joint-rna-compression](https://github.com/evita35/joint-rna-compression)|\n", "2302.12247": "|[quantifying & modeling feature interactions: an information decomposition framework](https://arxiv.org/abs/2302.12247)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-02-25": {}, "2023-02-26": {}, "2023-02-27": {"2111.13208": "|[evaluation of interpretability for deep learning algorithms in eeg emotion recognition: a case study in autism](https://arxiv.org/abs/2111.13208)|[deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals](https://github.com/meiyor/deep-learning-emotion-decoding-using-eeg-data-from-autism-individuals)|\n", "2204.11626": "|[a ris-based vehicle doa estimation method with integrated sensing and communication system](https://arxiv.org/abs/2204.11626)|[passivedoa-isac-ris](https://github.com/chenpengseu/passivedoa-isac-ris)|\n"}, "2023-02-28": {"2107.09202": "|[compressing multisets with large alphabets using bits-back coding](https://arxiv.org/abs/2107.09202)|[multiset-compression](https://github.com/facebookresearch/multiset-compression)|\n", "2205.04944": "|[hybrid far- and near-field channel estimation for thz ultra-massive mimo via fixed point networks](https://arxiv.org/abs/2205.04944)|[FPN-OAMP-THz-Channel-Estimation](https://github.com/wyuaq/FPN-OAMP-THz-Channel-Estimation)|\n", "2110.05649": "|[learned robust pca: a scalable deep unfolding approach for high-dimensional outlier detection](https://arxiv.org/abs/2110.05649)|[lrpca](https://github.com/caesarcai/lrpca)|\n"}, "2023-03-01": {"2302.10073": "|[implementation of dnn based data detector for qpsk systems](https://arxiv.org/abs/2302.10073)|[qpsk_sdr_dnn_detector](https://github.com/abadi13/qpsk_sdr_dnn_detector)|\n", "2302.14367": "|[brainbert: self-supervised representation learning for intracranial recordings](https://arxiv.org/abs/2302.14367)|[brainbert](https://github.com/czlwang/brainbert)|\n", "2302.14689": "|[robust one-shot estimation over shared networks in the presence of denial-of-service attacks](https://arxiv.org/abs/2302.14689)|[ieee-tac2023](https://github.com/mullervasconcelos/ieee-tac2023)|\n"}, "2023-03-02": {"2210.15987": "|[nnsvs: a neural network-based singing voice synthesis toolkit](https://arxiv.org/abs/2210.15987)|[nnsvs](https://github.com/nnsvs/nnsvs)|\n", "2302.13130": "|[point cloud forecasting as a proxy for 4d occupancy forecasting](https://arxiv.org/abs/2302.13130)|[4d-occ-forecasting](https://github.com/tarashakhurana/4d-occ-forecasting)|\n", "2303.00596": "|[information plane analysis for dropout neural networks](https://arxiv.org/abs/2303.00596)|[ip_dropout](https://github.com/link-er/ip_dropout)|\n"}, "2023-03-03": {"2210.15951": "|[signal inpainting from fourier magnitudes](https://arxiv.org/abs/2210.15951)|[inpainting-fourier](https://github.com/louis-bahrman/inpainting-fourier)|\n", "2303.00832": "|[distributed adaptive norm estimation for blind system identification in wireless sensor networks](https://arxiv.org/abs/2303.00832)|[icassp2023-adapt-dist-avg](https://github.com/sounds-research/icassp2023-adapt-dist-avg)|\n", "2303.00986": "|[pay less but get more: a dual-attention-based channel estimation network for massive mimo systems with low-density pilots](https://arxiv.org/abs/2303.00986)|[dacen](https://github.com/jessezhou18/dacen)|\n", "2210.03124": "|[learning transfer operators by kernel density estimation](https://arxiv.org/abs/2210.03124)|[fpoperatorde](https://github.com/sudamphy/fpoperatorde)|\n", "2303.00844": "|[the greedy side of the lasso: new algorithms for weighted sparse recovery via loss function-based orthogonal matching pursuit](https://arxiv.org/abs/2303.00844)|[greedy_lasso_womp](https://github.com/sina-taheri/greedy_lasso_womp)|\n"}, "2023-03-04": {}, "2023-03-05": {}, "2023-03-06": {"2207.08498": "|[graph neural networks for distributed power allocation in wireless networks: aggregation over-the-air](https://arxiv.org/abs/2207.08498)|[gnn-aggregation-over-the-air](https://github.com/yifan-gu-szu/gnn-aggregation-over-the-air)|\n", "2208.01283": "|[towards v2i age-aware fairness access: a dqn based intelligent vehicular node training and test method](https://arxiv.org/abs/2208.01283)|[age-fairness](https://github.com/qiongwu86/age-fairness)|\n", "2211.09920": "|[distributed deep joint source-channel coding over a multiple access channel](https://arxiv.org/abs/2211.09920)|[deepjscc-noma](https://github.com/ipc-lab/deepjscc-noma)|\n", "2302.06683": "|[enhancing multivariate time series classifiers through self-attention and relative positioning infusion](https://arxiv.org/abs/2302.06683)|[timeseriesclassification-tps](https://github.com/mehryar72/timeseriesclassification-tps)|\n", "2303.01770": "|[quantized radio map estimation using tensor and deep generative models](https://arxiv.org/abs/2303.01770)|[Quantized-Radio-Map-Estimation-BTD-and-DGM](https://github.com/XiaoFuLab/Quantized-Radio-Map-Estimation-BTD-and-DGM)|\n"}, "2023-03-07": {"2108.00874": "|[few-shot domain adaptation for end-to-end communication](https://arxiv.org/abs/2108.00874)|[domain-adaptation-autoencoder](https://github.com/jayaram-r/domain-adaptation-autoencoder)|\n", "2303.02157": "|[a stochastic approximate expectation-maximization for structure determination directly from cryo-em micrographs](https://arxiv.org/abs/2303.02157)|[stochastic-approximate-em-for-cryo-em](https://github.com/krshay/stochastic-approximate-em-for-cryo-em)|\n", "2303.02408": "|[data-driven method for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2303.02988": "|[searching for effective neural network architectures for heart murmur detection from phonocardiogram](https://arxiv.org/abs/2303.02988)|[cinc2022](https://github.com/deeppsp/cinc2022)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n", "2303.02598": "|[on probabilistic qam shaping for 5g mimo wireless channel with realistic ldpc codes](https://arxiv.org/abs/2303.02598)|[on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes](https://github.com/eugenbobrov/on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes)|\n", "2303.03106": "|[rotation invariant quantization for model compression](https://arxiv.org/abs/2303.03106)|[riq](https://github.com/ehaleva/riq)|\n"}, "2023-03-08": {"2209.02043": "|[large graph signal denoising with application to differential privacy](https://arxiv.org/abs/2209.02043)|[dp-graph-denoising](https://gitlab.com/elie-chedemail/dp-graph-denoising)|\n", "2210.12811": "|[unsupervised particle sorting for cryo-em using probabilistic pca](https://arxiv.org/abs/2210.12811)|[particle_sorting](https://github.com/giliw/particle_sorting)|\n", "2210.14103": "|[bit error and block error rate training for ml-assisted communication](https://arxiv.org/abs/2210.14103)|[bler_training](https://github.com/iip-group/bler_training)|\n", "2212.09019": "|[fast fullsubnet: accelerate full-band and sub-band fusion model for single-channel speech enhancement](https://arxiv.org/abs/2212.09019)|[fullsubnet](https://github.com/audio-westlakeu/fullsubnet)|\n", "2303.03678": "|[a comparative study of deep learning and iterative algorithms for joint channel estimation and signal detection](https://arxiv.org/abs/2303.03678)|[mimo_jcesd](https://github.com/j991222/mimo_jcesd)|\n", "2303.03858": "|[a switching gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity](https://arxiv.org/abs/2303.03858)|[switching-gplfm](https://github.com/l-marino/switching-gplfm)|\n"}, "2023-03-09": {"2203.09142": "|[covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers](https://arxiv.org/abs/2203.09142)|[OpSiMorE](https://github.com/gfort-lab/OpSiMorE)|\n", "2209.09211": "|[neural collapse with normalized features: a geometric analysis over the riemannian manifold](https://arxiv.org/abs/2209.09211)|[normalized-neural-collapse](https://github.com/cjyaras/normalized-neural-collapse)|\n", "2211.04846": "|[grid-free harmonic retrieval and model order selection using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2303.04450": "|[nonlinear kalman filtering with reparametrization gradients](https://arxiv.org/abs/2303.04450)|[nonkf_energy_minimization](https://github.com/sangultekin/nonkf_energy_minimization)|\n"}, "2023-03-10": {"2206.13370": "|[adaptive decoding mechanisms for uav-enabled double-uplink coordinated noma](https://arxiv.org/abs/2206.13370)|[uav-noma-adm](https://github.com/thanhluannguyen/uav-noma-adm)|\n", "2303.05043": "|[invertible kernel pca with random fourier features](https://arxiv.org/abs/2303.05043)|[invertible_kernel_PCA](https://github.com/dgedon/invertible_kernel_PCA)|\n", "2303.05228": "|[a classification of s-boxes generated by orthogonal cellular automata](https://arxiv.org/abs/2303.05228)|[orthogonal-ca-sboxes](https://github.com/rymoah/orthogonal-ca-sboxes)|\n", "2303.05237": "|[statistical mechanics of the maximum-average submatrix problem](https://arxiv.org/abs/2303.05237)|[Maximum-Average-Submatrix](https://github.com/SPOC-group/Maximum-Average-Submatrix)|\n"}, "2023-03-11": {}, "2023-03-12": {}, "2023-03-13": {"2206.04420": "|[neonatal eeg graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy](https://arxiv.org/abs/2206.04420)|[downsample_open_eeg](https://github.com/otoolej/downsample_open_eeg)|\n", "2303.05798": "|[sliced-wasserstein on symmetric positive definite matrices for m/eeg signals](https://arxiv.org/abs/2303.05798)|[Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices](https://github.com/clbonet/Sliced-Wasserstein_on_Symmetric_Positive_Definite_Matrices)|\n", "2303.06068": "|[eeg synthetic data generation using probabilistic diffusion models](https://arxiv.org/abs/2303.06068)|[eeg-diffusion-pytorch](https://github.com/devjake/eeg-diffusion-pytorch)|\n", "2212.01309": "|[wigner distribution deconvolution adaptation for live ptychography reconstruction](https://arxiv.org/abs/2212.01309)|[livewdd](https://github.com/ptychography-4-0/livewdd)|\n"}, "2023-03-14": {"2205.10957": "|[fundamentals of wobbling and hardware impairments-aware air-to-ground channel model](https://arxiv.org/abs/2205.10957)|[Wobbling-HI-Drones](https://github.com/mbanagar/Wobbling-HI-Drones)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[dnn-ha](https://github.com/hearingtechnology/dnn-ha)|\n", "2208.10325": "|[exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation](https://arxiv.org/abs/2208.10325)|[scss_csgaussian](https://github.com/rfchallenge/scss_csgaussian)|\n", "2211.02641": "|[graph neural networks on spd manifolds for motor imagery classification: a perspective from the time-frequency analysis](https://arxiv.org/abs/2211.02641)|[Tensor-CSPNet-and-Graph-CSPNet](https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)|\n", "2211.02678": "|[efficient ecg-based atrial fibrillation detection via parameterised hypercomplex neural networks](https://arxiv.org/abs/2211.02678)|[hypercomplexecg](https://github.com/leibniz-future-lab/hypercomplexecg)|\n", "2303.06376": "|[assessing gender fairness in eeg-based machine learning detection of parkinson's disease: a multi-center study](https://arxiv.org/abs/2303.06376)|[multicentric-ml-parkinson-detection](https://github.com/biomedical-data-analysis-laboratory/multicentric-ml-parkinson-detection)|\n", "2303.06640": "|[challenges facing the explainability of age prediction models: case study for two modalities](https://arxiv.org/abs/2303.06640)|[challenges-xai-aging-aaai23](https://github.com/pbiecek/challenges-xai-aging-aaai23)|\n", "2203.02064": "|[securing data in multimode fibers by exploiting mode-dependent light propagation effects](https://arxiv.org/abs/2203.02064)|[mmf-physec](https://github.com/klb2/mmf-physec)|\n"}, "2023-03-15": {"2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2303.07821": "|[self-attention for enhanced oamp detection in mimo systems](https://arxiv.org/abs/2303.07821)|[self_attention_oamp_mimo](https://github.com/alexf1991/self_attention_oamp_mimo)|\n", "1910.00796": "|[transition waste optimization for coded elastic computing](https://arxiv.org/abs/1910.00796)|[coded_elastic_computing](https://github.com/dausonhoang/coded_elastic_computing)|\n"}, "2023-03-16": {"2203.01178": "|[dct-former: efficient self-attention with discrete cosine transform](https://arxiv.org/abs/2203.01178)|[dct-former-public](https://github.com/cscribano/dct-former-public)|\n", "2203.11012": "|[learning resilient radio resource management policies with graph neural networks](https://arxiv.org/abs/2203.11012)|[Resilient_RRM_GNN](https://github.com/navid-naderi/Resilient_RRM_GNN)|\n", "2301.11166": "|[flex-net: a graph neural network approach to resource management in flexible duplex networks](https://arxiv.org/abs/2301.11166)|[flex-net](https://github.com/tharaka-perera/flex-net)|\n"}, "2023-03-17": {"2204.06108": "|[srmd: sparse random mode decomposition](https://arxiv.org/abs/2204.06108)|[sparserandommodedecomposition](https://github.com/giangttran/sparserandommodedecomposition)|\n", "2301.01514": "|[pendantss: penalized norm-ratios disentangling additive noise, trend and sparse spikes](https://arxiv.org/abs/2301.01514)|[pendantss](https://github.com/paulzhengfr/pendantss)|\n", "2302.02477": "|[offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment](https://arxiv.org/abs/2302.02477)|[vlbm](https://github.com/gaoqitong/vlbm)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2303.09395": "|[text-to-ecg: 12-lead electrocardiogram synthesis conditioned on clinical text reports](https://arxiv.org/abs/2303.09395)|[text_to_ecg](https://github.com/tclife/text_to_ecg)|\n", "2303.09530": "|[tackling clutter in radar data -- label generation and detection using pointnet++](https://arxiv.org/abs/2303.09530)|[clutter-ds](https://github.com/kopp-j/clutter-ds)|\n"}, "2023-03-18": {}, "2023-03-19": {}, "2023-03-20": {"2205.05776": "|[annealed langevin dynamics for massive mimo detection](https://arxiv.org/abs/2205.05776)|[langevin-mimo-detector](https://github.com/nzilberstein/langevin-mimo-detector)|\n"}, "2023-03-21": {"2205.14102": "|[group-level brain decoding with deep learning](https://arxiv.org/abs/2205.14102)|[meg-group-decode](https://github.com/ricsinaruto/meg-group-decode)|\n", "2211.15365": "|[defending adversarial attacks on deep learning based power allocation in massive mimo using denoising autoencoders](https://arxiv.org/abs/2211.15365)|[dae_for_adv_attacks_in_mimo](https://github.com/jess-jpg-txt/dae_for_adv_attacks_in_mimo)|\n", "2302.02436": "|[modular model-based bayesian learning for uncertainty-aware and reliable deep mimo receivers](https://arxiv.org/abs/2302.02436)|[bayesian-learning-for-receivers](https://github.com/tomerraviv95/bayesian-learning-for-receivers)|\n", "2303.10934": "|[emc2-net: joint equalization and modulation classification based on constellation network](https://arxiv.org/abs/2303.10934)|[emc2net](https://github.com/hyun-ryu/emc2net)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n", "2203.11854": "|[sionna: an open-source library for next-generation physical layer research](https://arxiv.org/abs/2203.11854)|[sionna](https://github.com/nvlabs/sionna)|\n", "2204.03316": "|[structured gradient descent for fast robust low-rank hankel matrix completion](https://arxiv.org/abs/2204.03316)|[hsgd](https://github.com/caesarcai/hsgd)|\n", "2207.06606": "|[encoding, decoding, and causality between complex networks](https://arxiv.org/abs/2207.06606)|[analytic-relations-between-complex-networks-encoding-decoding-and-causality](https://github.com/doloming/analytic-relations-between-complex-networks-encoding-decoding-and-causality)|\n", "2303.11103": "|[sionna rt: differentiable ray tracing for radio propagation modeling](https://arxiv.org/abs/2303.11103)|[diff-rt](https://github.com/nvlabs/diff-rt)|\n"}, "2023-03-22": {"2105.03607": "|[mean subtraction and mode selection in dynamic mode decomposition](https://arxiv.org/abs/2105.03607)|[msub_mdselect_dmd](https://github.com/gowtham-ss-ragavan/msub_mdselect_dmd)|\n", "2205.06306": "|[probabilistic estimation of instantaneous frequencies of chirp signals](https://arxiv.org/abs/2205.06306)|[chirpgp](https://github.com/spdes/chirpgp)|\n", "2206.05508": "|[integration of physics-based and data-driven models for hyperspectral image unmixing](https://arxiv.org/abs/2206.05508)|[awesome-hyperspectral-image-unmixing](https://github.com/xiuheng-wang/awesome-hyperspectral-image-unmixing)|\n", "2303.11427": "|[learning model-free robust precoding for cooperative multibeam satellite communications](https://arxiv.org/abs/2303.11427)|[2302_learning_beamforming_code](https://github.com/steffengra/2302_learning_beamforming_code)|\n"}, "2023-03-23": {"2203.10231": "|[sdoanet: an efficient deep learning-based doa estimation network for imperfect array](https://arxiv.org/abs/2203.10231)|[sdoanet](https://github.com/chenpengseu/sdoanet)|\n", "2303.12479": "|[distributed two-tier drl framework for cell-free network: association, beamforming and power allocation](https://arxiv.org/abs/2303.12479)|[dhdrl](https://github.com/kiven-ykw/dhdrl)|\n", "2303.12763": "|[localization-based ofdm framework for ris-aided systems](https://arxiv.org/abs/2303.12763)|[ris-ofdm-loca-scheduling](https://github.com/lostinafro/ris-ofdm-loca-scheduling)|\n", "2210.02672": "|[orthogonal non-negative matrix factorization: a maximum-entropy-principle approach](https://arxiv.org/abs/2210.02672)|[mep-orthogonal-nmf](https://github.com/salar96/mep-orthogonal-nmf)|\n"}, "2023-03-24": {"2208.10295": "|[physical lidar simulation in real-time engine](https://arxiv.org/abs/2208.10295)|[Cosys-AirSim](https://github.com/Cosys-Lab/Cosys-AirSim)|\n"}, "2023-03-25": {}, "2023-03-26": {}, "2023-03-27": {"2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n"}, "2023-03-28": {"2203.00456": "|[wemac: women and emotion multi-modal affective computing dataset](https://arxiv.org/abs/2203.00456)|[wemac_dataset_speech_processing](https://github.com/bindi-uc3m/wemac_dataset_speech_processing)|\n", "2206.13420": "|[unsupervised voice activity detection by modeling source and system information using zero frequency filtering](https://arxiv.org/abs/2206.13420)|[zff_vad](https://github.com/idiap/zff_vad)|\n", "2302.14089": "|[low-complexity blind parameter estimation in wireless systems with noisy sparse signals](https://arxiv.org/abs/2302.14089)|[blind_and_nonparametric_estimators](https://github.com/iip-group/blind_and_nonparametric_estimators)|\n", "2303.15407": "|[dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting](https://arxiv.org/abs/2303.15407)|[naumer_dimensionality_2022.jl](https://github.com/helmuthn/naumer_dimensionality_2022.jl)|\n"}, "2023-03-29": {"2210.10855": "|[dictionary learning for the almost-linear sparsity regime](https://arxiv.org/abs/2210.10855)|[spectral_dict_learn](https://github.com/sew347/spectral_dict_learn)|\n", "2303.13381": "|[cosys-airsim: a real-time simulation framework expanded for complex industrial applications](https://arxiv.org/abs/2303.13381)|[Cosys-AirSim](https://github.com/Cosys-Lab/Cosys-AirSim)|\n", "2303.14003": "|[transthoracic super-resolution ultrasound localisation microscopy of myocardial vasculature in patients](https://arxiv.org/abs/2303.14003)|[srussoftware](https://github.com/jipengyan1995/srussoftware)|\n", "2303.15588": "|[square root {lasso}: well-posedness, lipschitz stability and the tuning trade off](https://arxiv.org/abs/2303.15588)|[srlasso_revolutions](https://github.com/asberk/srlasso_revolutions)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n"}, "2023-03-30": {"2210.02214": "|[urglq: an efficient covariance matrix reconstruction method for robust adaptive beamforming](https://arxiv.org/abs/2210.02214)|[robust-adaptive-beamforming-2022](https://github.com/chenpengseu/robust-adaptive-beamforming-2022)|\n", "2211.09702": "|[deep reinforcement learning based joint downlink beamforming and ris configuration in ris-aided mu-miso systems under hardware impairments and imperfect csi](https://arxiv.org/abs/2211.09702)|[ris-miso-pda-deep-reinforcement-learning](https://github.com/baturaysaglam/ris-miso-pda-deep-reinforcement-learning)|\n", "2303.16407": "|[lmda-net:a lightweight multi-dimensional attention network for general eeg-based brain-computer interface paradigms and interpretability](https://arxiv.org/abs/2303.16407)|[braindecode](https://github.com/TNTLFreiburg/braindecode)|\n", "2303.16797": "|[a framework for control channels applied to reconfigurable intelligent surfaces](https://arxiv.org/abs/2303.16797)|[ris-control](https://github.com/lostinafro/ris-control)|\n", "2211.15267": "|[folded polynomial codes for coded distributed $aa^\\top$-type matrix multiplication](https://arxiv.org/abs/2211.15267)|[foldedpolynomialcodes](https://github.com/shinez9/foldedpolynomialcodes)|\n"}, "2023-03-31": {"2204.02855": "|[spider-web generates coding algorithms with superior error tolerance and real-time information retrieval capacity](https://arxiv.org/abs/2204.02855)|[dnaspiderweb](https://github.com/haolingzhang/dnaspiderweb)|\n"}, "2023-04-02": {}, "2023-04-01": {}, "2023-04-03": {"2209.12638": "|[bounded simplex-structured matrix factorization: algorithms, identifiability and applications](https://arxiv.org/abs/2209.12638)|[bssmf.jl](https://gitlab.com/vuthanho/bssmf.jl)|\n", "2205.03343": "|[far from asymptopia](https://arxiv.org/abs/2205.03343)|[atomicpriors.jl](https://github.com/mcabbott/atomicpriors.jl)|\n"}, "2023-04-04": {"2102.03565": "|[localizing unsynchronized sensors with unknown sources](https://arxiv.org/abs/2102.03565)|[xtdoa](https://github.com/swing-research/xtdoa)|\n", "2211.11176": "|[modeling multivariate biosignals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n", "2304.00446": "|[deep graph unfolding for beamforming in mu-mimo interference networks](https://arxiv.org/abs/2304.00446)|[unrolled-wmmse-for-mu-mimo](https://github.com/archo48/unrolled-wmmse-for-mu-mimo)|\n", "2304.00474": "|[on the optimal recovery of graph signals](https://arxiv.org/abs/2304.00474)|[orofgraphsignals](https://github.com/liaochunyang/orofgraphsignals)|\n", "2205.13503": "|[multi-layer state evolution under random convolutional design](https://arxiv.org/abs/2205.13503)|[conv-ml-amp](https://github.com/mdnls/conv-ml-amp)|\n", "2304.01031": "|[amgc: adaptive match-based genomic compression algorithm](https://arxiv.org/abs/2304.01031)|[amgc](https://github.com/wj-inf/amgc)|\n"}, "2023-04-05": {"2109.12400": "|[communication-efficient federated linear and deep generalized canonical correlation analysis](https://arxiv.org/abs/2109.12400)|[federated_max_var_gcca](https://github.com/XiaoFuLab/federated_max_var_gcca)|\n", "2206.00390": "|[attention-embedded quadratic network (qttention) for effective and interpretable bearing fault diagnosis](https://arxiv.org/abs/2206.00390)|[QCNN_for_bearing_diagnosis](https://github.com/asdvfghg/QCNN_for_bearing_diagnosis)|\n", "2209.04213": "|[autoencoder based iterative modeling and multivariate time-series subsequence clustering algorithm](https://arxiv.org/abs/2209.04213)|[abimca](https://github.com/jokonu/abimca)|\n", "2304.01461": "|[time-space-frequency feature fusion for 3-channel motor imagery classification](https://arxiv.org/abs/2304.01461)|[tsff](https://github.com/miaozhengqing/tsff)|\n", "2304.01568": "|[arrhythmia classifier based on ultra-lightweight binary neural network](https://arxiv.org/abs/2304.01568)|[ecg_bnn_net](https://github.com/xpww/ecg_bnn_net)|\n"}, "2023-04-06": {"2111.10983": "|[a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes](https://arxiv.org/abs/2111.10983)|[Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier](https://github.com/shellpower96/Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier)|\n", "2208.10384": "|[the optimality of word lengths. theoretical foundations and an empirical study](https://arxiv.org/abs/2208.10384)|[iql-research-project-21-22](https://github.com/iql-course/iql-research-project-21-22)|\n", "2304.02358": "|[visualizing quantum circuit probability -- estimating computational action for quantum program synthesis](https://arxiv.org/abs/2304.02358)|[qcircscape](https://github.com/advanced-research-centre/qcircscape)|\n", "2304.02538": "|[reliability and latency analysis for wireless communication systems with a secret-key budget](https://arxiv.org/abs/2304.02538)|[secret-key-budget-ruin](https://github.com/klb2/secret-key-budget-ruin)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-04-07": {"2211.04167": "|[optimal discrete beamforming of ris-aided wireless communications: an inner product maximization approach](https://arxiv.org/abs/2211.04167)|[RIS_Optimization](https://github.com/RujingXiong/RIS_Optimization)|\n", "2301.08843": "|[towards flexibility and interpretability of gaussian process state-space model](https://arxiv.org/abs/2301.08843)|[tgpssm](https://github.com/zhidilin/tgpssm)|\n", "2304.02714": "|[learning stage-wise gans for whistle extraction in time-frequency spectrograms](https://arxiv.org/abs/2304.02714)|[CompositeGAN_WhistleAugment](https://github.com/Paul-LiPu/CompositeGAN_WhistleAugment)|\n"}, "2023-04-08": {}, "2023-04-09": {}, "2023-04-10": {"2304.03713": "|[a novel channel model for reconfigurable intelligent surfaces with consideration of polarization and switch impairments](https://arxiv.org/abs/2304.03713)|[matlab_ris_channelmodel](https://github.com/icefreeman123/matlab_ris_channelmodel)|\n", "2304.03398": "|[quantum conformal prediction for reliable uncertainty quantification in quantum machine learning](https://arxiv.org/abs/2304.03398)|[quantum-cp](https://github.com/kclip/quantum-cp)|\n"}, "2023-04-11": {"2106.12556": "|[real-time outdoor localization using radio maps: a deep learning approach](https://arxiv.org/abs/2106.12556)|[LocUNet](https://github.com/CagkanYapar/LocUNet)|\n", "2210.04222": "|[correlative information maximization based biologically plausible neural networks for correlated source separation](https://arxiv.org/abs/2210.04222)|[Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation](https://github.com/BariscanBozkurt/Biologically-Plausible-Correlative-Information-Maximization-for-Blind-Source-Separation)|\n", "1802.05843": "|[minimal algorithmic information loss methods for dimension reduction, feature selection and network sparsification](https://arxiv.org/abs/1802.05843)|[Network-Robustness-by-Kolmogorov-Complexity](https://github.com/andandandand/Network-Robustness-by-Kolmogorov-Complexity)|\n"}, "2023-04-12": {"2209.15594": "|[self-stabilization: the implicit bias of gradient descent at the edge of stability](https://arxiv.org/abs/2209.15594)|[eos](https://github.com/adamian98/eos)|\n"}, "2023-04-13": {"2211.08889": "|[olia: an open-source digital lock-in amplifier](https://arxiv.org/abs/2211.08889)|[olia](https://github.com/openlockin/olia)|\n", "2205.10684": "|[interpreting neural min-sum decoders](https://arxiv.org/abs/2205.10684)|[nams](https://github.com/sravan-ankireddy/nams)|\n"}, "2023-04-14": {"2211.11580": "|[neural network based generation of 1-dimensional stochastic fields with turbulent velocity statistics](https://arxiv.org/abs/2211.11580)|[nn-turb](https://github.com/cgranerob/nn-turb)|\n", "2303.15588": "|[square root lasso: well-posedness, lipschitz stability and the tuning trade off](https://arxiv.org/abs/2303.15588)|[srlasso_revolutions](https://github.com/asberk/srlasso_revolutions)|\n", "2304.06496": "|[eegmatch: learning with incomplete labels for semi-supervised eeg-based cross-subject emotion recognition](https://arxiv.org/abs/2304.06496)|[eegmatch](https://github.com/kazabana/eegmatch)|\n", "2304.06548": "|[multi-kernel correntropy-based orientation estimation of imus: gradient descent methods](https://arxiv.org/abs/2304.06548)|[mc_gd_imu](https://github.com/lsl-zsj/mc_gd_imu)|\n"}, "2023-04-15": {}, "2023-04-16": {}, "2023-04-17": {"2204.04754": "|[denoiser-based projections for 2-d super-resolution multi-reference alignment](https://arxiv.org/abs/2204.04754)|[denoiser_projection](https://github.com/jonathanshani/denoiser_projection)|\n", "2208.03993": "|[cast: a toolchain for creating and characterizing realistic wireless network emulation scenarios](https://arxiv.org/abs/2208.03993)|[cast](https://github.com/wineslab/cast)|\n", "2304.06777": "|[online recognition of incomplete gesture data to interface collaborative robots](https://arxiv.org/abs/2304.06777)|[uc2017_classification](https://github.com/miguelsimao/uc2017_classification)|\n", "2304.06983": "|[a byte sequence is worth an image: cnn for file fragment classification using bit shift and n-gram embeddings](https://arxiv.org/abs/2304.06983)|[byte2image](https://github.com/wenyang001/byte2image)|\n", "2210.12538": "|[compressing multidimensional weather and climate data into neural networks](https://arxiv.org/abs/2210.12538)|[nncompression](https://github.com/spcl/nncompression)|\n"}, "2023-04-18": {"2210.04230": "|[random access protocol with channel oracle enabled by a reconfigurable intelligent surface](https://arxiv.org/abs/2210.04230)|[ris-random-access-channel-oracle](https://github.com/victorcroisfelt/ris-random-access-channel-oracle)|\n", "2303.02408": "|[data-driven method for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2303.15407": "|[dimensionality collapse: optimal measurement selection for low-error infinite-horizon forecasting](https://arxiv.org/abs/2303.15407)|[naumer_dimensionality_2022.jl](https://github.com/helmuthn/naumer_dimensionality_2022.jl)|\n", "2210.14894": "|[learning to predict arbitrary quantum processes](https://arxiv.org/abs/2210.14894)|[learning-quantum-process](https://github.com/hsinyuan-huang/learning-quantum-process)|\n"}, "2023-04-19": {"2004.01571": "|[tree-amp: compositional inference with tree approximate message passing](https://arxiv.org/abs/2004.01571)|[tramp](https://github.com/sphinxteam/tramp)|\n", "2202.06948": "|[towards best practice of interpreting deep learning models for eeg-based brain computer interfaces](https://arxiv.org/abs/2202.06948)|[Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI](https://github.com/cuijiancorbin/Towards-Best-Practice-of-Interpreting-Deep-Learning-Models-for-EEG-based-BCI)|\n", "2203.09142": "|[covid19 reproduction number: credibility intervals by blockwise proximal monte carlo samplers](https://arxiv.org/abs/2203.09142)|[OpSiMorE](https://github.com/gfort-lab/OpSiMorE)|\n", "2111.10983": "|[a semi-supervised adaptive discriminative discretization method improving discrimination power of regularized naive bayes](https://arxiv.org/abs/2111.10983)|[Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier](https://github.com/shellpower96/Semi-supervised-Adaptive-Discriminative-Discretization-for-Naive-Bayes-classifier)|\n"}, "2023-04-20": {"2206.04011": "|[robust semantic communications with masked vq-vae enabled codebook](https://arxiv.org/abs/2206.04011)|[RobustSemanComm](https://github.com/hqyyqh888/RobustSemanComm)|\n", "2304.09700": "|[entropy estimation via uniformization](https://arxiv.org/abs/2304.09700)|[nfee](https://github.com/ziq-ao/nfee)|\n"}, "2023-04-21": {"2207.07572": "|[outlier detection of vital sign trajectories from covid-19 patients](https://arxiv.org/abs/2207.07572)|[outlier-detection-recap-data](https://github.com/sara-es/outlier-detection-recap-data)|\n", "2304.07827": "|[latent-kalmannet: learned kalman filtering for tracking from high-dimensional signals](https://arxiv.org/abs/2304.07827)|[latent_kalmannet_tsp](https://github.com/kalmannet/latent_kalmannet_tsp)|\n"}, "2023-04-22": {}, "2023-04-23": {}, "2023-04-24": {"2110.05528": "|[smoothed separable nonnegative matrix factorization](https://arxiv.org/abs/2110.05528)|[smoothed-separable-nmf](https://gitlab.com/nnadisic/smoothed-separable-nmf)|\n", "2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2304.10858": "|[an orchestration framework for open system models of reconfigurable intelligent surfaces](https://arxiv.org/abs/2304.10858)|[self-configuring-orchestration](https://github.com/victorcroisfelt/self-configuring-orchestration)|\n"}, "2023-04-25": {"2208.04659": "|[ultra lite convolutional neural network for fast automatic modulation classification in low-resource scenarios](https://arxiv.org/abs/2208.04659)|[ultra-lite-convolutional-neural-network-for-automatic-modulation-classification](https://github.com/beechburgpiestar/ultra-lite-convolutional-neural-network-for-automatic-modulation-classification)|\n", "2208.13552": "|[energy-efficient cell-free massive mimo through sparse large-scale fading processing](https://arxiv.org/abs/2208.13552)|[sparse-lsfprocess-cfmmimo](https://github.com/shuaifeichen273/sparse-lsfprocess-cfmmimo)|\n", "2302.11410": "|[score-based data generation for eeg spatial covariance matrices: towards boosting bci performance](https://arxiv.org/abs/2302.11410)|[Tensor-CSPNet-and-Graph-CSPNet](https://github.com/GeometricBCI/Tensor-CSPNet-and-Graph-CSPNet)|\n", "2304.06505": "|[locality sensitive hashing via mechanical behavior](https://arxiv.org/abs/2304.06505)|[mechhs](https://github.com/elejeune11/mechhs)|\n", "2304.11560": "|[identifying stochasticity in time-series with autoencoder-based content-aware 2d representation: application to black hole data](https://arxiv.org/abs/2304.11560)|[blackhole_1d_2d_label](https://github.com/csai-arc/blackhole_1d_2d_label)|\n", "2304.11674": "|[a lightweight recurrent learning network for sustainable compressed sensing](https://arxiv.org/abs/2304.11674)|[csrn](https://github.com/c66yu/csrn)|\n", "2304.11464": "|[model-free learning of optimal two-stage beamformers for passive irs-aided network design](https://arxiv.org/abs/2304.11464)|[zosga-irs](https://github.com/hassaanhashmi/zosga-irs)|\n"}, "2023-04-26": {"2207.01110": "|[data-driven modeling of noise time series with convolutional generative adversarial networks](https://arxiv.org/abs/2207.01110)|[noisegan](https://github.com/usnistgov/noisegan)|\n", "2212.13930": "|[toward integrated sensing and communications in ieee 802.11bf wi-fi networks](https://arxiv.org/abs/2212.13930)|[sharpax](https://github.com/francescamen/sharpax)|\n"}, "2023-04-27": {"2210.05394": "|[computationally-efficient initialisation of gps: the generalised variogram method](https://arxiv.org/abs/2210.05394)|[generalised-variogram-method](https://github.com/games-uchile/generalised-variogram-method)|\n", "2304.06033": "|[quantifying the impact of data characteristics on the transferability of sleep stage scoring models](https://arxiv.org/abs/2304.06033)|[transferability_sleep](https://github.com/akaraspt/transferability_sleep)|\n"}, "2023-04-28": {"2304.14152": "|[spiking neural network decision feedback equalization for im/dd systems](https://arxiv.org/abs/2304.14152)|[snn-dfe](https://github.com/kit-cel/snn-dfe)|\n", "2203.16439": "|[self-dual hadamard bent sequences](https://arxiv.org/abs/2203.16439)|[hadamard_bent](https://github.com/qomo-cheng/hadamard_bent)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-04-29": {}, "2023-04-30": {}, "2023-05-01": {"2102.07507": "|[clnet: complex input lightweight neural network designed for massive mimo csi feedback](https://arxiv.org/abs/2102.07507)|[CLNet](https://github.com/SIJIEJI/CLNet)|\n", "2304.14919": "|[scatterformer: locally-invariant scattering transformer for patient-independent multispectral detection of epileptiform discharges](https://arxiv.org/abs/2304.14919)|[scatterformer](https://github.com/albertcheng19/scatterformer)|\n", "2302.11654": "|[information theory inspired pattern analysis for time-series data](https://arxiv.org/abs/2302.11654)|[entropypipeline](https://github.com/yushan-huang/entropypipeline)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n"}, "2023-05-02": {"2208.13003": "|[latent signal models: learning compact representations of signal evolution for improved time-resolved, multi-contrast mri](https://arxiv.org/abs/2208.13003)|[latent_signal_models_mrm_2022](https://github.com/yaminarefeen/latent_signal_models_mrm_2022)|\n", "2211.11176": "|[modeling multivariate biosignals with graph neural networks and structured state space models](https://arxiv.org/abs/2211.11176)|[graphs4mer](https://github.com/tsy935/graphs4mer)|\n", "2302.13130": "|[point cloud forecasting as a proxy for 4d occupancy forecasting](https://arxiv.org/abs/2302.13130)|[4d-occ-forecasting](https://github.com/tarashakhurana/4d-occ-forecasting)|\n", "2305.00139": "|[leveraging label non-uniformity for node classification in graph neural networks](https://arxiv.org/abs/2305.00139)|[label-non-uniformity-gnn](https://github.com/amblee0306/label-non-uniformity-gnn)|\n", "2305.00334": "|[non-linear phase-retrieval algorithms for x-ray propagation-based phase-contrast tomography](https://arxiv.org/abs/2305.00334)|[phasetorch](https://github.com/phasetorch/phasetorch)|\n", "2305.00769": "|[multi-scale transformer-based network for emotion recognition from multi physiological signals](https://arxiv.org/abs/2305.00769)|[EPiC-2023-ACII](https://github.com/vsl-team/EPiC-2023-ACII)|\n"}, "2023-05-03": {"2301.13516": "|[recurrences reveal shared causal drivers of complex time series](https://arxiv.org/abs/2301.13516)|[shrec](https://github.com/williamgilpin/shrec)|\n"}, "2023-05-04": {}, "2023-05-05": {"2305.02562": "|[conditional and residual methods in scalable coding for humans and machines](https://arxiv.org/abs/2305.02562)|[research](https://github.com/adeandrade/research)|\n"}, "2023-05-06": {}, "2023-05-07": {}, "2023-05-08": {"2210.04941": "|[slurp! spectroscopy of liquids using robot pre-touch sensing](https://arxiv.org/abs/2210.04941)|[slurp_grasping](https://github.com/river-lab/slurp_grasping)|\n", "2305.03571": "|[model-free reinforcement learning of semantic communication by stochastic policy gradient](https://arxiv.org/abs/2305.03571)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2305.03597": "|[a thru-free multiline calibration](https://arxiv.org/abs/2305.03597)|[thru-free-multiline-calibration](https://github.com/ZiadHatab/thru-free-multiline-calibration)|\n"}, "2023-05-09": {"2210.00943": "|[simple pooling front-ends for efficient audio classification](https://arxiv.org/abs/2210.00943)|[simpfs](https://github.com/liuxubo717/simpfs)|\n", "2302.08053": "|[selective noise suppression using random svpwm to shape the voltage spectrum](https://arxiv.org/abs/2302.08053)|[SNS-in-random-SVPWM](https://github.com/IoaJianWen/SNS-in-random-SVPWM)|\n", "2305.00769": "|[multi-scale transformer-based network for emotion recognition from multi physiological signals](https://arxiv.org/abs/2305.00769)|[EPiC-2023-ACII](https://github.com/vsl-team/EPiC-2023-ACII)|\n", "2305.04257": "|[unrolled architectures for high-throughput encoding of multi-kernel polar codes](https://arxiv.org/abs/2305.04257)|[polar-encoder-compiler](https://github.com/hosseinrezaeii91/polar-encoder-compiler)|\n"}, "2023-05-10": {"2209.10382": "|[robust information bottleneck for task-oriented communication with digital modulation](https://arxiv.org/abs/2209.10382)|[Discrete-TaskOriented-JSCC](https://github.com/SongjieXie/Discrete-TaskOriented-JSCC)|\n", "2305.04871": "|[gaussian process deconvolution](https://arxiv.org/abs/2305.04871)|[gaussian-process-deconvolution](https://github.com/games-uchile/gaussian-process-deconvolution)|\n", "2305.05002": "|[bistatic mimo radar sensing of specularly reflecting surfaces for wireless power transfer](https://arxiv.org/abs/2305.05002)|[bistatic-mimo-radar-sensing](https://gitlab.com/baenshy/bistatic-mimo-radar-sensing)|\n", "2305.05425": "|[3dinvnet: a deep learning-based 3d ground-penetrating radar data inversion](https://arxiv.org/abs/2305.05425)|[3dinvnet](https://github.com/qiqi-dai/3dinvnet)|\n", "2304.02611": "|[randomized and exchangeable improvements of markov's, chebyshev's and chernoff's inequalities](https://arxiv.org/abs/2304.02611)|[randomized-markov](https://github.com/tmanole/randomized-markov)|\n"}, "2023-05-11": {"2211.04610": "|[phaseaug: a differentiable augmentation for speech synthesis to simulate one-to-many mapping](https://arxiv.org/abs/2211.04610)|[phaseaug](https://github.com/mindslab-ai/phaseaug)|\n", "2305.05772": "|[spiking neural networks in the alexiewicz topology: a new perspective on analysis and error bounds](https://arxiv.org/abs/2305.05772)|[alexsnn](https://github.com/lunglmayrmoser/alexsnn)|\n"}, "2023-05-12": {"2201.06023": "|[resource allocation for text semantic communications](https://arxiv.org/abs/2201.06023)|[semantic-resource-allocation-S-SE-](https://github.com/YL12345/semantic-resource-allocation-S-SE-)|\n", "2208.08867": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part i: algorithm derivation](https://arxiv.org/abs/2208.08867)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n", "2208.09088": "|[a unified algorithmic framework for distributed adaptive signal and feature fusion problems -- part ii: convergence properties](https://arxiv.org/abs/2208.09088)|[DASF_toolbox](https://github.com/AlexanderBertrandLab/DASF_toolbox)|\n"}, "2023-05-13": {}, "2023-05-14": {}, "2023-05-15": {"2202.07125": "|[transformers in time series: a survey](https://arxiv.org/abs/2202.07125)|[time-series-transformers-review](https://github.com/qingsongedu/time-series-transformers-review)|\n", "2204.12404": "|[hierarchical bayesian modelling for knowledge transfer across engineering fleets via multitask learning](https://arxiv.org/abs/2204.12404)|[engineeringpatternrecognition](https://github.com/labull/engineeringpatternrecognition)|\n", "2208.11751": "|[over-the-air computation with multiple receivers: a space-time approach](https://arxiv.org/abs/2208.11751)|[space-time-ota](https://github.com/ymalitsky/space-time-ota)|\n", "2305.07130": "|[active sensing for two-sided beam alignment and reflection design using ping-pong pilots](https://arxiv.org/abs/2305.07130)|[active-sensing-beam-alignment](https://github.com/taojiang-github/active-sensing-beam-alignment)|\n", "2305.07156": "|[improved upper and lower bounds on the capacity of the binary deletion channel](https://arxiv.org/abs/2305.07156)|[bdc_upper_bounds](https://github.com/ittai-rubinstein/bdc_upper_bounds)|\n", "2305.07186": "|[learning to code on graphs for topological interference management](https://arxiv.org/abs/2305.07186)|[learning-to-code-on-graphs](https://github.com/zhiweishan/learning-to-code-on-graphs)|\n", "2305.07309": "|[adaptive and flexible model-based ai for deep receivers in dynamic channels](https://arxiv.org/abs/2305.07309)|[facilitating-adaptation-deep-receivers](https://github.com/tomerraviv95/facilitating-adaptation-deep-receivers)|\n"}, "2023-05-16": {"2304.06505": "|[locality sensitive hashing via mechanical behavior](https://arxiv.org/abs/2304.06505)|[mechhs](https://github.com/elejeune11/mechhs)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.08687": "|[accelerated algorithms for nonlinear matrix decomposition with the relu function](https://arxiv.org/abs/2305.08687)|[relu-nmd](https://gitlab.com/ngillis/relu-nmd)|\n", "2202.04454": "|[adjacent-bits-swapped polar codes: a new code construction to speed up polarization](https://arxiv.org/abs/2202.04454)|[abs-polar](https://github.com/plumjelly/abs-polar)|\n", "2208.08085": "|[detection and mitigation of byzantine attacks in distributed training](https://arxiv.org/abs/2208.08085)|[aspis](https://github.com/kkonstantinidis/aspis)|\n"}, "2023-05-17": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2302.04151": "|[policy evaluation in decentralized pomdps with belief sharing](https://arxiv.org/abs/2302.04151)|[decpomdp_policy_evaluation_w-belief_sharing](https://github.com/asl-epfl/decpomdp_policy_evaluation_w-belief_sharing)|\n", "2302.07675": "|[guaranteed dynamic scheduling of ultra-reliable low-latency traffic via conformal prediction](https://arxiv.org/abs/2302.07675)|[online_cp_urllc](https://github.com/kclip/online_cp_urllc)|\n", "2305.09661": "|[phase retrieval via model-free power flow jacobian recovery](https://arxiv.org/abs/2305.09661)|[powerphaseretrieval.jl](https://github.com/samtalki/powerphaseretrieval.jl)|\n"}, "2023-05-18": {"2211.10527": "|[pmnet: robust pathloss map prediction via supervised learning](https://arxiv.org/abs/2211.10527)|[pmnet](https://github.com/abman23/pmnet)|\n", "2305.09739": "|[outage performance and novel loss function for an ml-assisted resource allocation: an exact analytical framework](https://arxiv.org/abs/2305.09739)|[greedy-resource-allocation-outage-classification](https://github.com/ml4comms/greedy-resource-allocation-outage-classification)|\n", "2305.10009": "|[a modular and high-resolution time-frequency post-processing technique](https://arxiv.org/abs/2305.10009)|[Time-frequency-analysis](https://github.com/jsshen1/Time-frequency-analysis)|\n", "2305.10185": "|[algorithms for boolean matrix factorization using integer programming](https://arxiv.org/abs/2305.10185)|[booleanmf](https://gitlab.com/ngillis/booleanmf)|\n", "2305.09705": "|[random edge coding: one-shot bits-back coding of large labeled graphs](https://arxiv.org/abs/2305.09705)|[random-edge-coding](https://github.com/dsevero/random-edge-coding)|\n"}, "2023-05-19": {"2303.17995": "|[neural network entropy (nneten): entropy-based eeg signal and chaotic time series classification, python package for nneten calculation](https://arxiv.org/abs/2303.17995)|[nneten](https://github.com/izotov93/nneten)|\n", "2112.09162": "|[nonparametric two-sample testing by betting](https://arxiv.org/abs/2112.09162)|[nonparametric-testing-by-betting](https://github.com/sshekhar17/nonparametric-testing-by-betting)|\n", "2209.10438": "|[a measure of the complexity of neural representations based on partial information decomposition](https://arxiv.org/abs/2209.10438)|[nninfo](https://github.com/priesemann-group/nninfo)|\n", "2302.09666": "|[synchronizing many filesystems in near linear time](https://arxiv.org/abs/2302.09666)|[algebraic-reconciler](https://github.com/csirmaz/algebraic-reconciler)|\n", "2304.10770": "|[deir: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards](https://arxiv.org/abs/2304.10770)|[deir](https://github.com/swan-utokyo/deir)|\n"}, "2023-05-20": {}, "2023-05-21": {}, "2023-05-22": {"2203.13510": "|[joint distribution of distance and angles in finite wireless networks](https://arxiv.org/abs/2203.13510)|[joint_pdf_dist_angles](https://github.com/franmarve/joint_pdf_dist_angles)|\n", "2211.04846": "|[grid-free harmonic retrieval and model order selection using deep convolutional neural networks](https://arxiv.org/abs/2211.04846)|[deepest-demo](https://huggingface.co/spaces/EMS-TU-Ilmenau/deepest-demo)|\n", "2305.11320": "|[parameter-efficient learning for text-to-speech accent adaptation](https://arxiv.org/abs/2305.11320)|[PEL-TTS](https://github.com/TTS-Research/PEL-TTS)|\n", "2305.11752": "|[marginalized beam search algorithms for hierarchical hmms](https://arxiv.org/abs/2305.11752)|[mbs](https://github.com/chunxxc/mbs)|\n"}, "2023-05-23": {"2202.03391": "|[gradient-based learning of discrete structured measurement operators for signal recovery](https://arxiv.org/abs/2202.03391)|[glodismo](https://github.com/josauder/glodismo)|\n", "2204.04723": "|[machine learning-based csi feedback with variable length in fdd massive mimo](https://arxiv.org/abs/2204.04723)|[ml-based-csi-feedback](https://github.com/matteonerini/ml-based-csi-feedback)|\n", "2303.02475": "|[synthetic ecg signal generation using probabilistic diffusion models](https://arxiv.org/abs/2303.02475)|[augmentation-of-ecg-training-dataset-with-cgan](https://github.com/mah533/augmentation-of-ecg-training-dataset-with-cgan)|\n", "2305.10352": "|[appliance detection using very low-frequency smart meter time series](https://arxiv.org/abs/2305.10352)|[ApplianceDetectionBenchmark](https://github.com/adrienpetralia/ApplianceDetectionBenchmark)|\n", "2305.11891": "|[thraws: a novel dataset for thermal hotspots detection in raw sentinel-2 data](https://arxiv.org/abs/2305.11891)|[pyraws](https://github.com/esa-philab/pyraws)|\n", "2305.13161": "|[deepjscc-l++: robust and bandwidth-adaptive wireless image transmission](https://arxiv.org/abs/2305.13161)|[deepjscc-lplusplus](https://github.com/aprilbian/deepjscc-lplusplus)|\n", "2206.10043": "|[classification utility, fairness, and compactness via tunable information bottleneck and r\\'enyi measures](https://arxiv.org/abs/2206.10043)|[rfib-code](https://github.com/agronowski/rfib-code)|\n", "2305.12179": "|[commodity-specific triads in the dutch inter-industry production network](https://arxiv.org/abs/2305.12179)|[numetris](https://github.com/marsmdk/numetris)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-05-24": {"2210.02271": "|[extending conformal prediction to hidden markov models with exact validity via de finetti's theorem for markov chains](https://arxiv.org/abs/2210.02271)|[cp_hmm](https://github.com/complexinfo/cp_hmm)|\n", "2305.13493": "|[cooperative channel capacity learning](https://arxiv.org/abs/2305.13493)|[CORTICAL](https://github.com/tonellolab/CORTICAL)|\n", "2305.14131": "|[temporally causal discovery tests for discrete time series and neural spike trains](https://arxiv.org/abs/2305.14131)|[github_temporal_causality](https://github.com/andreas947/github_temporal_causality)|\n"}, "2023-05-25": {"2303.05798": "|[sliced-wasserstein on symmetric positive definite matrices for m/eeg signals](https://arxiv.org/abs/2303.05798)|[spdsw](https://github.com/clbonet/spdsw)|\n", "2305.06459": "|[slicertms: interactive real-time visualization of transcranial magnetic stimulation using augmented reality and deep learning](https://arxiv.org/abs/2305.06459)|[SlicerTMS](https://github.com/lorifranke/SlicerTMS)|\n", "2305.15371": "|[stochastic unrolled federated learning](https://arxiv.org/abs/2305.15371)|[fed-surf](https://github.com/smrhadou/fed-surf)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2305.14819": "|[directed message passing based on attention for prediction of molecular properties](https://arxiv.org/abs/2305.14819)|[d-gats](https://github.com/gongchen-1995/d-gats)|\n", "2305.15220": "|[selection for short-term empowerment accelerates the evolution of homeostatic neural cellular automata](https://arxiv.org/abs/2305.15220)|[empowered-nca-ii](https://github.com/caitlingrasso/empowered-nca-ii)|\n"}, "2023-05-26": {"2302.00919": "|[qcm-sgm+: improved quantized compressed sensing with score-based generative models](https://arxiv.org/abs/2302.00919)|[qcs-sgm-plus](https://github.com/mengxiangming/qcs-sgm-plus)|\n", "2305.15795": "|[emergency response person localization and vital sign estimation using a semi-autonomous robot mounted sfcw radar](https://arxiv.org/abs/2305.15795)|[radar-vitals-estimation](https://github.com/schrchr/radar-vitals-estimation)|\n"}, "2023-05-27": {}, "2023-05-28": {}, "2023-05-29": {"2305.16789": "|[modulate your spectrum in self-supervised learning](https://arxiv.org/abs/2305.16789)|[intl](https://github.com/winci-ai/intl)|\n", "2305.16446": "|[the representation jensen-shannon divergence](https://arxiv.org/abs/2305.16446)|[representationjsd](https://github.com/uk-cliplab/representationjsd)|\n", "2305.16578": "|[computation of reliability statistics for finite samples of success-failure experiments](https://arxiv.org/abs/2305.16578)|[relistats](https://github.com/sanjaymjoshi/relistats)|\n"}, "2023-05-30": {"2007.07148": "|[traffic simulator for multibeam satellite communication systems](https://arxiv.org/abs/2007.07148)|[Satellite-Traffic-Simulator](https://github.com/hayder-hussein/Satellite-Traffic-Simulator)|\n", "2202.02884": "|[exploring self-attention mechanisms for speech separation](https://arxiv.org/abs/2202.02884)|[speechbrain](https://github.com/speechbrain/speechbrain)|\n", "2207.00866": "|[doubly-iterative sparsified mmse turbo equalization for otfs modulation](https://arxiv.org/abs/2207.00866)|[dismmse-turbo-equalizer-for-otfs](https://github.com/alga53/dismmse-turbo-equalizer-for-otfs)|\n", "2305.17321": "|[optimal resource allocation with delay guarantees for network slicing in disaggregated ran](https://arxiv.org/abs/2305.17321)|[paper-fgkcj-2023](https://github.com/labora-inf-ufg/paper-fgkcj-2023)|\n", "2305.18205": "|[pulse shape discrimination based on the tempotron: a powerful classifier on gpu](https://arxiv.org/abs/2305.18205)|[TempotronGPU](https://github.com/HaoranLiu507/TempotronGPU)|\n", "2210.00313": "|[crisp: curriculum based sequential neural decoders for polar code family](https://arxiv.org/abs/2210.00313)|[neural_polar_decoder](https://github.com/hebbarashwin/neural_polar_decoder)|\n", "2211.12343": "|[diffusion model based posterior sampling for noisy linear inverse problems](https://arxiv.org/abs/2211.12343)|[dmps](https://github.com/mengxiangming/dmps)|\n", "2301.08164": "|[dime: maximizing mutual information by a difference of matrix-based entropies](https://arxiv.org/abs/2301.08164)|[DiME](https://github.com/uk-cliplab/DiME)|\n", "2303.02598": "|[on probability shaping for 5g mimo wireless channel with realistic ldpc codes](https://arxiv.org/abs/2303.02598)|[on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes](https://github.com/eugenbobrov/on-probabilistic-qam-shaping-for-5g-mimo-wireless-channel-with-realistic-ldpc-codes)|\n"}, "2023-05-31": {"2206.03369": "|[computational doob's h-transforms for online filtering of discretely observed diffusions](https://arxiv.org/abs/2206.03369)|[CompDoobTransform](https://github.com/jeremyhengjm/CompDoobTransform)|\n", "2303.05043": "|[invertible kernel pca with random fourier features](https://arxiv.org/abs/2303.05043)|[invertible_kernel_PCA](https://github.com/dgedon/invertible_kernel_PCA)|\n", "2304.00474": "|[on the optimal recovery of graph signals](https://arxiv.org/abs/2304.00474)|[orofgraphsignals](https://github.com/liaochunyang/orofgraphsignals)|\n", "2305.18665": "|[e-panns: sound recognition using efficient pre-trained audio neural networks](https://arxiv.org/abs/2305.18665)|[e-panns](https://github.com/arshdeep-singh-boparai/e-panns)|\n", "2112.01583": "|[the representation jensen-r\\'enyi divergence](https://arxiv.org/abs/2112.01583)|[jensen-renyi-divergence](https://github.com/uk-cliplab/jensen-renyi-divergence)|\n", "2210.09808": "|[distributed inference over linear models using alternating gaussian belief propagation](https://arxiv.org/abs/2210.09808)|[FactorGraph.jl](https://github.com/mcosovic/FactorGraph.jl)|\n", "2305.17467": "|[structured model selection via $\\ell_1-\\ell_2$ optimization](https://arxiv.org/abs/2305.17467)|[nonconvexsparsecyclicrecovery](https://github.com/linanzhang/nonconvexsparsecyclicrecovery)|\n", "2305.18887": "|[how does information bottleneck help deep learning?](https://arxiv.org/abs/2305.18887)|[information-bottleneck](https://github.com/xu-ji/information-bottleneck)|\n", "2305.19256": "|[ambient diffusion: learning clean distributions from corrupted data](https://arxiv.org/abs/2305.19256)|[ambient-diffusion](https://github.com/giannisdaras/ambient-diffusion)|\n"}, "2023-06-01": {"2208.07797": "|[on the convergence of inexact gradient descent with controlled synchronization steps](https://arxiv.org/abs/2208.07797)|[inexact-gradient-descent](https://github.com/Sandushan/inexact-gradient-descent)|\n", "2305.17510": "|[a hybrid quantum-classical approach based on the hadamard transform for the convolutional layer](https://arxiv.org/abs/2305.17510)|[icml2023-ht](https://github.com/phy710/icml2023-ht)|\n", "2305.20025": "|[variational $f$-divergence and derangements for discriminative mutual information estimation](https://arxiv.org/abs/2305.20025)|[fdime](https://github.com/tonellolab/fdime)|\n", "2301.00006": "|[recovering top-two answers and confusion probability in multi-choice crowdsourcing](https://arxiv.org/abs/2301.00006)|[toptwo](https://github.com/hyeonsu-jeong/toptwo)|\n", "2302.13846": "|[domain adaptive decision trees: implications for accuracy and fairness](https://arxiv.org/abs/2302.13846)|[domain-adaptive-trees](https://github.com/nobias-project/domain-adaptive-trees)|\n", "2303.02165": "|[deepmad: mathematical architecture design for deep convolutional neural network](https://arxiv.org/abs/2303.02165)|[lightweight-neural-architecture-search](https://github.com/alibaba/lightweight-neural-architecture-search)|\n", "2305.19695": "|[causal discovery for time series with constraint-based model and pmime measure](https://arxiv.org/abs/2305.19695)|[cd_for_ts_with_cbm_and_pmime](https://github.com/aarsac/cd_for_ts_with_cbm_and_pmime)|\n"}, "2023-06-02": {"2211.11406": "|[structural optimization of factor graphs for symbol detection via continuous clustering and machine learning](https://arxiv.org/abs/2211.11406)|[factor_graph_structural_opt](https://github.com/kit-cel/factor_graph_structural_opt)|\n", "2301.11981": "|[unearthing insights into mars: unsupervised source separation with limited data](https://arxiv.org/abs/2301.11981)|[insight_src_sep](https://github.com/alisiahkoohi/insight_src_sep)|\n", "2306.00181": "|[conditionally strongly log-concave generative models](https://arxiv.org/abs/2306.00181)|[wcrg](https://github.com/elempereur/wcrg)|\n", "2306.00717": "|[graph neural networks-based user pairing in wireless communication systems](https://arxiv.org/abs/2306.00717)|[userpairing](https://github.com/sharanmourya/userpairing)|\n", "2109.06141": "|[on tilted losses in machine learning: theory and applications](https://arxiv.org/abs/2109.06141)|[TERM](https://github.com/litian96/TERM)|\n", "2209.01418": "|[outsourcing control requires control complexity](https://arxiv.org/abs/2209.01418)|[learningrequiresintinf](https://github.com/carlottalanger/learningrequiresintinf)|\n"}, "2023-06-03": {}, "2023-06-04": {}, "2023-06-05": {"2212.00724": "|[swl-adapt: an unsupervised domain adaptation model with sample weight learning for cross-user wearable human activity recognition](https://arxiv.org/abs/2212.00724)|[SWL-Adapt](https://github.com/Rxannro/SWL-Adapt)|\n", "2210.01237": "|[bayes-optimal limits in structured pca, and how to reach them](https://arxiv.org/abs/2210.01237)|[structured-pca-](https://github.com/fcamilli95/structured-pca-)|\n", "2301.13393": "|[probably anytime-safe stochastic combinatorial semi-bandits](https://arxiv.org/abs/2301.13393)|[passcsb](https://github.com/y-hou/passcsb)|\n"}, "2023-06-06": {"2301.11955": "|[adaptive whitening in neural populations with gain-modulating interneurons](https://arxiv.org/abs/2301.11955)|[frame_whitening](https://github.com/lyndond/frame_whitening)|\n", "2303.02408": "|[data augmentation for generating synthetic electrogastrogram time series](https://arxiv.org/abs/2303.02408)|[syegg](https://github.com/nadicasm/syegg)|\n", "2305.17321": "|[optimal resource allocation with delay guarantees for network slicing in disaggregated ran](https://arxiv.org/abs/2305.17321)|[paper-fgkcj-2023](https://github.com/labora-inf-ufg/paper-fgkcj-2023)|\n", "2306.01950": "|[fast and interpretable nonlocal neural networks for image denoising via group-sparse convolutional dictionary learning](https://arxiv.org/abs/2306.01950)|[groupcdl-tip](https://github.com/nikopj/groupcdl-tip)|\n", "2306.02044": "|[why we should report the details in subjective evaluation of tts more rigorously](https://arxiv.org/abs/2306.02044)|[subjectiveevaluation](https://github.com/d223302/subjectiveevaluation)|\n", "2306.02271": "|[subspacenet: deep learning-aided subspace methods for doa estimation](https://arxiv.org/abs/2306.02271)|[subspacenet](https://github.com/shlezingerlab/subspacenet)|\n", "2210.15034": "|[infoshape: task-based neural data shaping via mutual information](https://arxiv.org/abs/2210.15034)|[infoshape](https://github.com/billywu1029/infoshape)|\n", "2306.02032": "|[admm-based detector for large-scale mimo code-domain noma systems](https://arxiv.org/abs/2306.02032)|[admm-based-detector-for-noma](https://github.com/vikas2020-del/admm-based-detector-for-noma)|\n"}, "2023-06-07": {"2306.02323": "|[lora backscatter communications: temporal, spectral, and error performance analysis](https://arxiv.org/abs/2306.02323)|[lora-backscatter-communications-temperal-spectral-and-error-performance-analysis](https://github.com/slingovie/lora-backscatter-communications-temperal-spectral-and-error-performance-analysis)|\n", "2306.03273": "|[under-counted tensor completion with neural incorporation of attributes](https://arxiv.org/abs/2306.03273)|[undercounted-tensor-completion](https://github.com/shahanaibrahimosu/undercounted-tensor-completion)|\n", "2306.03288": "|[deep learning from crowdsourced labels: coupled cross-entropy minimization, identifiability, and regularization](https://arxiv.org/abs/2306.03288)|[end-to-end-crowdsourcing](https://github.com/shahanaibrahimosu/end-to-end-crowdsourcing)|\n", "2305.18885": "|[criteria tell you more than ratings: criteria preference-aware light graph convolution for effective multi-criteria recommendation](https://arxiv.org/abs/2305.18885)|[cpa-lgc-recbole](https://github.com/jindeok/cpa-lgc-recbole)|\n", "2306.03301": "|[estimating conditional mutual information for dynamic feature selection](https://arxiv.org/abs/2306.03301)|[dime](https://github.com/suinleelab/dime)|\n"}, "2023-06-08": {"2306.04001": "|[one-dimensional deep image prior for curve fitting of s-parameters from electromagnetic solvers](https://arxiv.org/abs/2306.04001)|[curvefitting-dip](https://github.com/sriram-ravula/curvefitting-dip)|\n", "2306.04469": "|[model-based deep learning](https://arxiv.org/abs/2306.04469)|[mbdl_book](https://github.com/shlezingerlab/mbdl_book)|\n", "2209.10438": "|[a measure of the complexity of neural representations based on partial information decomposition](https://arxiv.org/abs/2209.10438)|[nninfo](https://github.com/priesemann-group/nninfo)|\n", "2306.04539": "|[multimodal learning without labeled multimodal data: guarantees and applications](https://arxiv.org/abs/2306.04539)|[pid](https://github.com/pliang279/pid)|\n"}, "2023-06-09": {"2209.09163": "|[validation of the reference impedance in multiline calibration with stepped impedance standards](https://arxiv.org/abs/2209.09163)|[verification-multiline-trl-calibration](https://github.com/ZiadHatab/verification-multiline-trl-calibration)|\n", "2211.15939": "|[an adaptive and robust deep learning framework for thz ultra-massive mimo channel estimation](https://arxiv.org/abs/2211.15939)|[FPN-OAMP-THz-Channel-Estimation](https://github.com/wyuaq/FPN-OAMP-THz-Channel-Estimation)|\n", "2306.05255": "|[toward more accurate and generalizable brain deformation estimators for traumatic brain injury detection with unsupervised domain adaptation](https://arxiv.org/abs/2306.05255)|[drca-mlhm](https://github.com/xzhan96-stf/drca-mlhm)|\n", "2201.08068": "|[power allocation algorithms for massive mimo systems with multi-antenna users](https://arxiv.org/abs/2201.08068)|[Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users](https://github.com/eugenbobrov/Power-Allocation-Algorithms-for-Massive-MIMO-Systems-with-Multi-Antenna-Users)|\n", "2301.00557": "|[learning to maximize mutual information for dynamic feature selection](https://arxiv.org/abs/2301.00557)|[dynamic-selection](https://github.com/iancovert/dynamic-selection)|\n", "2303.08882": "|[generic decoding of restricted errors](https://arxiv.org/abs/2303.08882)|[rest-dec](https://github.com/sebastianbitzer/rest-dec)|\n"}, "2023-06-10": {}, "2023-06-11": {}, "2023-06-12": {"2306.05812": "|[hrtf upsampling with a generative adversarial network using a gnomonic equiangular projection](https://arxiv.org/abs/2306.05812)|[hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection](https://github.com/ahogg/hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection)|\n", "2306.04810": "|[correlative information maximization: a biologically plausible approach to supervised deep neural networks without weight symmetry](https://arxiv.org/abs/2306.04810)|[Supervised-CorInfoMax](https://github.com/BariscanBozkurt/Supervised-CorInfoMax)|\n"}, "2023-06-13": {"2306.05775": "|[weight freezing: a regularization approach for fully connected layers with an application in eeg classification](https://arxiv.org/abs/2306.05775)|[weightfreezing](https://github.com/miaozhengqing/weightfreezing)|\n", "2306.06144": "|[bayesian calibration of mems accelerometers](https://arxiv.org/abs/2306.06144)|[bayes_cal_paper](https://github.com/oduerr/bayes_cal_paper)|\n", "2306.06375": "|[optimized gradient tracking for decentralized online learning](https://arxiv.org/abs/2306.06375)|[Optimized-Gradient-Tracking](https://github.com/Shivangi-Dubey-Sharma/Optimized-Gradient-Tracking)|\n", "2306.06522": "|[ts-moco: time-series momentum contrast for self-supervised physiological representation learning](https://arxiv.org/abs/2306.06522)|[ts-moco](https://github.com/philipph77/ts-moco)|\n", "2305.12900": "|[evaluating prompt-based question answering for object prediction in the open research knowledge graph](https://arxiv.org/abs/2305.12900)|[thesis_work](https://github.com/as18cia/thesis_work)|\n"}, "2023-06-14": {"2204.13366": "|[semantic information recovery in wireless networks](https://arxiv.org/abs/2204.13366)|[sinfony](https://github.com/ant-uni-bremen/sinfony)|\n", "2306.07938": "|[deep demixing: reconstructing the evolution of network epidemics](https://arxiv.org/abs/2306.07938)|[Deep_demixing](https://github.com/gojkoc54/Deep_demixing)|\n", "2302.05151": "|[binomial line cox processes: statistical characterization and applications in wireless network analysis](https://arxiv.org/abs/2302.05151)|[blcp](https://github.com/mt19146/blcp)|\n"}, "2023-06-15": {}, "2023-06-16": {"2205.03812": "|[hierarchical dirichlet process based gamma mixture modelling for terahertz band wireless communication channels](https://arxiv.org/abs/2205.03812)|[DPGMM-Channel-Modelling](https://github.com/erhankarakoca/DPGMM-Channel-Modelling)|\n", "2211.06117": "|[closed-form global optimization of beyond diagonal reconfigurable intelligent surfaces](https://arxiv.org/abs/2211.06117)|[optimization-of-bdris](https://github.com/matteonerini/optimization-of-bdris)|\n", "2301.08227": "|[diffusion-based conditional ecg generation with structured state space models](https://arxiv.org/abs/2301.08227)|[sssd-ecg](https://github.com/ai4healthuol/sssd-ecg)|\n", "2306.08514": "|[low-complexity steered response power mapping based on low-rank and sparse interpolation](https://arxiv.org/abs/2306.08514)|[lr-sp-int-srp](https://github.com/tdietzen/lr-sp-int-srp)|\n", "2306.08728": "|[towards trustworthy seizure onset detection using workflow notes](https://arxiv.org/abs/2306.08728)|[eeg_robustness](https://github.com/khaledsaab/eeg_robustness)|\n", "2306.08903": "|[two-way semantic transmission of images without feedback](https://arxiv.org/abs/2306.08903)|[TW-SemanticComm](https://github.com/Kiven-ykw/TW-SemanticComm)|\n", "2306.08173": "|[safeguarding data in multimodal ai: a differentially private approach to clip training](https://arxiv.org/abs/2306.08173)|[dpclip](https://github.com/dpclip/dpclip)|\n"}, "2023-06-17": {}, "2023-06-18": {}, "2023-06-19": {"2306.09839": "|[super-resolution radar imaging with sparse arrays using a deep neural network trained with enhanced virtual data](https://arxiv.org/abs/2306.09839)|[sparse-array-radar-imaging](https://github.com/christianschuessler/sparse-array-radar-imaging)|\n"}, "2023-06-20": {}, "2023-06-21": {"2003.10347": "|[distributed set-based observers using diffusion strategies](https://arxiv.org/abs/2003.10347)|[distributed-set-based-observers-using-diffusion-strategies](https://github.com/aalanwar/distributed-set-based-observers-using-diffusion-strategies)|\n", "2204.10177": "|[scale dependencies and self-similar models with wavelet scattering spectra](https://arxiv.org/abs/2204.10177)|[scattering_spectra](https://github.com/rudymorel/scattering_spectra)|\n", "2206.02972": "|[decomposed linear dynamical systems (dlds) for learning the latent components of neural dynamics](https://arxiv.org/abs/2206.02972)|[dLDS-Discrete-Python-Model](https://github.com/dLDS-Decomposed-Linear-Dynamics/dLDS-Discrete-Python-Model)|\n", "2206.05937": "|[data-driven denoising of stationary accelerometer signals](https://arxiv.org/abs/2206.05937)|[MEMS-IMU-Denoising](https://github.com/ansfl/MEMS-IMU-Denoising)|\n", "2207.07091": "|[a neural-network framework for the design of individualised hearing-loss compensation](https://arxiv.org/abs/2207.07091)|[dnn-ha](https://github.com/hearingtechnology/dnn-ha)|\n", "2209.01992": "|[tfn: an interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis](https://arxiv.org/abs/2209.01992)|[tfn](https://github.com/chenqian0618/tfn)|\n", "2209.07170": "|[bayesian optimization of sampling densities in mri](https://arxiv.org/abs/2209.07170)|[bindings-nufft-pytorch](https://github.com/albangossard/bindings-nufft-pytorch)|\n", "2301.05599": "|[short-length ssvep data extension by a novel generative adversarial networks based framework](https://arxiv.org/abs/2301.05599)|[tegan](https://github.com/yudongpan/tegan)|\n", "2302.08797": "|[deep comparisons of neural networks from the eegnet family](https://arxiv.org/abs/2302.08797)|[bionic_apps](https://github.com/kolcs/bionic_apps)|\n", "2306.02323": "|[lora backscatter communications: temporal, spectral, and error performance analysis](https://arxiv.org/abs/2306.02323)|[lora-backscatter-performance-analysis](https://github.com/slingovie/lora-backscatter-performance-analysis)|\n", "2306.10164": "|[multiwave: multiresolution deep architectures through wavelet decomposition for multivariate time series prediction](https://arxiv.org/abs/2306.10164)|[multiwave](https://github.com/information-fusion-lab-umass/multiwave)|\n", "2306.10356": "|[matnet: multi-level fusion and self-attention transformer-based model for multivariate multi-step day-ahead pv generation forecasting](https://arxiv.org/abs/2306.10356)|[matnet](https://github.com/cosbidev/matnet)|\n", "2306.10588": "|[duta-vc: a duration-aware typical-to-atypical voice conversion approach with diffusion probabilistic model](https://arxiv.org/abs/2306.10588)|[duta-vc](https://github.com/wanghelin1997/duta-vc)|\n", "2306.11123": "|[to fold or not to fold: graph regularized tensor train for visual data completion](https://arxiv.org/abs/2306.11123)|[graphttc](https://github.com/xumaomao94/graphttc)|\n", "2306.10703": "|[fdnet: focal decomposed network for efficient, robust and practical time series forecasting](https://arxiv.org/abs/2306.10703)|[fdnet](https://github.com/origamisl/fdnet)|\n", "2306.11078": "|[beyond normal: on the evaluation of mutual information estimators](https://arxiv.org/abs/2306.11078)|[bmi](https://github.com/cbg-ethz/bmi)|\n"}, "2023-06-22": {"2210.16985": "|[space-time design for deep joint source channel coding of images over mimo channels](https://arxiv.org/abs/2210.16985)|[st_jscc](https://github.com/aprilbian/st_jscc)|\n", "2306.12063": "|[high throughput open-source implementation of wi-fi 6 and wimax ldpc encoder and decoder](https://arxiv.org/abs/2306.12063)|[yaldpc](https://github.com/talenik/yaldpc)|\n"}, "2023-06-23": {"2210.15951": "|[signal inpainting from fourier magnitudes](https://arxiv.org/abs/2210.15951)|[inpainting-fourier](https://github.com/louis-bahrman/inpainting-fourier)|\n"}, "2023-06-24": {}, "2023-06-25": {}, "2023-06-26": {"2102.10324": "|[necessary and sufficient graphical conditions for optimal adjustment sets in causal graphical models with hidden variables](https://arxiv.org/abs/2102.10324)|[tigramite](https://github.com/jakobrunge/tigramite)|\n"}}
\ No newline at end of file