Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference. - Arnaud Descours; Tom Huix; Arnaud Guillin; Manon Michel; Éric Moulines; Boris Nectoux (COLT, 2023)

Fixed-kinetic Neural Hamiltonian Flows for enhanced interpretability and reduced complexity. - Vincent Souveton; Arnaud Guillin; Jens Jasche; Guilhem Lavaux; Manon Michel (AISTATS, 2024)

Central Limit Theorem for Bayesian Neural Network trained with Variational Inference. - Arnaud Descours; Tom Huix; Arnaud Guillin; Manon Michel; Éric Moulines; Boris Nectoux (CoRR, 2024)

Law of Large Numbers and Central Limit Theorem for Wide Two-layer Neural Networks: The Mini-Batch and Noisy Case. - Arnaud Descours; Arnaud Guillin; Manon Michel; Boris Nectoux (J. Mach. Learn. Res., 2024)