Claire Theobald

According to our database, Claire Theobald authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Clarity: a Deep Ensemble for Visual Counterfactual Explanations.

Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

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

Claire Theobald

PhD thesis, 2023

2022

Clarity: an improved gradient method for producing quality visual counterfactual explanations.

Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli

CoRR, 2022

2021

A Bayesian Neural Network based on Dropout Regulation.

Claire Theobald, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli

CoRR, 2021

A Bayesian Convolutional Neural Network for Robust Galaxy Ellipticity Regression.

Claire Theobald, Bastien Arcelin, Frédéric Pennerath, Brieuc Conan-Guez, Miguel Couceiro, Amedeo Napoli

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021