Marylou Gabrié

Publications

Article dans une revue (4)

A theoretical perspective on mode collapse in variational inference Roman Soletskyi,Marylou Gabrié,Bruno Loureiro Machine Learning: Science and Technology, 2025, 6 (2), pp.025056. ⟨10.1088/2632-2153/adde2a⟩ Article dans une revue hal-05554870v1
Sampling metastable systems using collective variables and Jarzynski-Crooks paths Christoph Schönle,Marylou Gabrié,Tony Lelièvre,Gabriel Stoltz Journal of Computational Physics, 2025, 527, pp.113806. ⟨10.1016/j.jcp.2025.113806⟩ Article dans une revue hal-04591706v1
Coarse Grained Molecular Dynamics with Normalizing Flows Samuel Tamagnone,Alessandro Laio,Marylou Gabrié Journal of Chemical Theory and Computation, 2024, 20 (18), pp.7796-7805. ⟨10.1021/acs.jctc.4c00700⟩ Article dans une revue hal-04602736v1
flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX Kaze Wong,Marylou Gabrié,Daniel Foreman-Mackey Journal of Open Source Software, 2023, 8 (83), pp.5021. ⟨10.21105/joss.05021⟩ Article dans une revue hal-04548811v1

Communication dans un congrès (2)

Learned Reference-based Diffusion Sampler for multi-modal distributions Maxence Noble,Louis Grenioux,Marylou Gabrié,Alain Oliviero Durmus The Thirteenth International Conference on Learning Representations, Apr 2025, Singapour, France Communication dans un congrès hal-05164914v1
Optimizing Markov Chain Monte Carlo Convergence with Normalizing Flows and Gibbs Sampling Christoph Schönle,Marylou Gabrié NeurIPS 2023 AI for Science Workshop, Dec 2023, New Orleans, LA, USA, United States Communication dans un congrès hal-04404948v1

Pré-publication, Document de travail (3)

Annealing in variational inference mitigates mode collapse: A theoretical study on Gaussian mixtures Luigi Fogliani,Bruno Loureiro,Marylou Gabrié 2026 Pré-publication, Document de travail hal-05554700v1
Efficient Monte-Carlo sampling of metastable systems using non-local collective variable updates Christoph Schönle,Davide Carbone,Marylou Gabrié,Tony Lelièvre,Gabriel Stoltz 2025 Pré-publication, Document de travail hal-05425063v1
Riemannian Stochastic Interpolants for Amorphous Particle Systems Louis Grenioux,Leonardo Galliano,Ludovic Berthier,Giulio Biroli,Marylou Gabrié 2026 Pré-publication, Document de travail hal-05512094v1