A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression. - Claire Theobald; Bastien Arcelin; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ECML/PKDD (5), 2021)

A Bayesian Neural Network based on Dropout Regulation. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2021)

Clarity: an improved gradient method for producing quality visual counterfactual explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (CoRR, 2022)

Bayesian Deep Learning for Mining and Analyzing Astronomical Data. (Apprentissage profond bayésien pour l'analyse de données d'astronomie). - Claire Theobald (2023)

Clarity: a Deep Ensemble for Visual Counterfactual Explanations. - Claire Theobald; Frédéric Pennerath; Brieuc Conan-Guez; Miguel Couceiro; Amedeo Napoli (ESANN, 2024)