(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
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Updated
Dec 14, 2022 - Jupyter Notebook
(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
Tools for uncertainty propagation and measurement unit conversion — Outils pour la propagation des incertitudes et la conversion d'unités de mesure
We derive a fundamental property of the posterior distribution in Gaussian denoising, and use it to propose a new way for uncertainty visualization, which requires no training or fine-tuning.
Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect
A Bayesian Convolutional Neural Network model for classifying Cataract in Ocular Disease with measurements of uncertainty
Frontend component for https://github.com/FUB-HCC/IKON-backend
Create fan charts in R
(BETA) Visualisation of my PhD research about uncertainty quantification of human intervention in rivers.
PHD Thesis at CERFACS: Uncertainty Quantification for High Dimensional Problems
Interactive visual exploration of the 1641 depositions dataset
Probabilistic framework for solving Visual Dialog
VAST Challenge 2019: Mini-Challenge 2 | 城市级核辐射可视化监控软件
Scripts to explore calculation, interpretation and visualisation of uncertainty related to indicators based on biodiversity data cubes
3-dimensional version of the Kiviat or Spyder plot
A simple temporal and spatial uncertainty visualisation library built ontop of d3.js.
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