1 citations · 1 across the 3 of their papers we have counts for
3 papers
Clarity: an improved gradient method for producing quality visual counterfactual explanations
Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez +2
Visual counterfactual explanations identify modifications to an image that would change the prediction of a classifier. We propose a set of techniques based on generative models (V…
A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression
Claire Theobald, Bastien Arcelin, Frédéric Pennerath +3
Cosmic shear estimation is an essential scientific goal for large galaxy surveys. It refers to the coherent distortion of distant galaxy images due to weak gravitational lensing al…
A Bayesian Neural Network based on Dropout Regulation
Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez +2
Bayesian Neural Networks (BNN) have recently emerged in the Deep Learning world for dealing with uncertainty estimation in classification tasks, and are used in many application do…