Marylou Gabrié

14
Documents

Publications

Publications

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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
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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
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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
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Blind calibration for compressed sensing: State evolution and an online algorithm

Marylou Gabrié , Jean Barbier , Florent Krzakala , Lenka Zdeborová

Journal of Physics A: Mathematical and Theoretical, 2020, 53 (33), pp.334004. ⟨10.1088/1751-8121/ab8416⟩

Article dans une revue cea-02529311v1
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Entropy and mutual information in models of deep neural networks

Marylou Gabrié , Andre Manoel , Clément Luneau , Jean Barbier , Nicolas Macris et al.

Journal of Statistical Mechanics: Theory and Experiment, 2019, 19, pp.124014. ⟨10.1088/1742-5468/ab3430⟩

Article dans une revue cea-01930228v1
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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
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Improving the evaluation of samplers on multi-modal targets

Louis Grenioux , Maxence Noble , Marylou Gabrié

Frontiers in Probabilistic Inference: Sampling Meets Learning, Apr 2025, Singapour, Singapore

Communication dans un congrès hal-05164932v1
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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

Blind Calibration for Sparse Regression: A State Evolution Analysis

Marylou Gabrié , Jean Barbier , Florent Krzakala , Lenka Zdeborova

2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Dec 2019, Le Gosier, Guadeloupe. pp.649-653, ⟨10.1109/CAMSAP45676.2019.9022479⟩

Communication dans un congrès cea-04542590v1
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Towards an understanding of neural networks : mean-field incursions

Marylou Gabrié

Mathematical Physics [math-ph]. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEE035⟩

Thèse tel-02921539v1