(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

Create fan charts in R

Frontend component for https://github.com/FUB-HCC/IKON-backend

PHD Thesis at CERFACS: Uncertainty Quantification for High Dimensional Problems

(BETA) Visualisation of my PhD research about uncertainty quantification of human intervention in rivers.

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

An R package 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.