Learning a Restricted Boltzmann Machine using biased Monte Carlo sampling. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Beatriz Seoane (CoRR, 2022)

Causal Analysis for Robust Interpretability of Neural Networks. - Ola Ahmad; Nicolas Béreux; Vahid Hashemi; Freddy Lécué (CoRR, 2023)

Causal Analysis for Robust Interpretability of Neural Networks. - Ola Ahmad; Nicolas Béreux; Loïc Baret; Vahid Hashemi; Freddy Lécué (WACV, 2024)

Fast, accurate training and sampling of Restricted Boltzmann Machines. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Lorenzo Rosset; Beatriz Seoane (CoRR, 2024)

Fast training and sampling of Restricted Boltzmann Machines. - Nicolas Béreux; Aurélien Decelle; Cyril Furtlehner; Lorenzo Rosset; Beatriz Seoane (ICLR, 2025)