Adaptive importance sampling in general mixture classes. - Olivier Cappé; Randal Douc; Arnaud Guillin; Jean-Michel Marin; Christian P. Robert (Stat. Comput., 2008)

Functional inequalities via Lyapunov conditions. - Patrick Cattiaux; Arnaud Guillin (Optimal Transport, 2014)

Dimensional contraction via Markov transportation distance. - François Bolley; Ivan Gentil; Arnaud Guillin (J. Lond. Math. Soc., 2014)

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)

Some remarks on the effect of the Random Batch Method on phase transition. - Arnaud Guillin; Pierre Le Bris; Pierre Monmarché (CoRR, 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)

Error estimates between SGD with momentum and underdamped Langevin diffusion. - Arnaud Guillin; Yu Wang; Lihu Xu; Haoran Yang (CoRR, 2024)

Optimization of Complex Process, Based on Design Of Experiments, a Generic Methodology. - Julien Baderot; Yann Cauchepin; Alexandre Seiller; Richard Fontanges; Sergio Martinez; Johann Foucher; Emmanuel Fuchs; Mehdi Daanoune; Vincent Grenier; Vincent Barra; Arnaud Guillin (CoRR, 2024)

ML-GLE: A machine learning enhanced Generalized Langevin equation framework for transient anomalous diffusion in polymer dynamics. - Gian-Michele Cherchi; Alain Dequidt; Arnaud Guillin; Nicolas Martzel; Patrice Hauret; Vincent Barra (J. Comput. Phys., 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)

A new machine learning framework for occupational accidents forecasting with safety inspections integration. - Aho Yapi; Pierre Latouche; Arnaud Guillin; Yan Bailly (CoRR, 2025)