Growing Neural Networks Achieve Flatter Minima. - Paul Caillon; Christophe Cerisara (ICANN (2), 2021)

Unsupervised Post-Tuning of Deep Neural Networks. - Christophe Cerisara; Paul Caillon; Guillaume Le Berre (IJCNN, 2021)

Apprentissage profond sans supervision directe pour le traitement automatique des langues. (Weakly Supervised Deep Learning for Natural Language Processing). - Paul Caillon (2023)

Chain and Causal Attention for Efficient Entity Tracking. - Erwan Fagnou; Paul Caillon; Blaise Delattre; Alexandre Allauzen (EMNLP, 2024)

Bridging the Theoretical Gap in Randomized Smoothing. - Blaise Delattre; Paul Caillon; Quentin Barthélemy; Erwan Fagnou; Alexandre Allauzen (AISTATS, 2025)

Accelerated training through iterative gradient propagation along the residual path. - Erwan Fagnou; Paul Caillon; Blaise Delattre; Alexandre Allauzen (ICLR, 2025)

Fast Training of Recurrent Neural Networks with Stationary State Feedbacks. - Paul Caillon; Erwan Fagnou; Alexandre Allauzen (CoRR, 2025)

Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics. - Alex Colagrande; Paul Caillon; Eva Feillet; Alexandre Allauzen (CoRR, 2025)