Marylou Gabrié

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Topics

Markov Chain Monte Carlo Methods

Metropolis Hastings

Restricted Boltzmann Machine

Probabilistic Inference

Top Venues

Publications

Louis Grenioux, Maxence Noble, Marylou Gabrié, Alain Oliviero Durmus
Stochastic Localization via Iterative Posterior Sampling. CoRR (2024)
Louis Grenioux, Alain Durmus, Éric Moulines, Marylou Gabrié
On Sampling with Approximate Transport Maps. CoRR (2023)
Kaze W. K. Wong, Marylou Gabrié, Daniel Foreman-Mackey
flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX. J. Open Source Softw. 8 (83) (2023)
Louis Grenioux, Éric Moulines, Marylou Gabrié
Balanced Training of Energy-Based Models with Adaptive Flow Sampling. CoRR (2023)
Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié
On Sampling with Approximate Transport Maps. ICML (2023)
James A. Brofos, Marylou Gabrié, Marcus A. Brubaker, Roy R. Lederman
Adaptation of the Independent Metropolis-Hastings Sampler with Normalizing Flow Proposals. AISTATS (2022)
Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines
Local-Global MCMC kernels: the best of both worlds. NeurIPS (2022)
Carles Domingo-Enrich, Alberto Bietti, Marylou Gabrié, Joan Bruna, Eric Vanden-Eijnden
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR (2021)
Marylou Gabrié, Grant M. Rotskoff, Eric Vanden-Eijnden
Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods. CoRR (2021)
Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
On the interplay between data structure and loss function in classification problems. NeurIPS (2021)
Hannah Lawrence, David Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. MSML (2021)
Stéphane d'Ascoli, Marylou Gabrié, Levent Sagun, Giulio Biroli
More data or more parameters? Investigating the effect of data structure on generalization. CoRR (2021)
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, Marylou Gabrié
Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging. CoRR (2020)
Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
Blind calibration for compressed sensing: State evolution and an online algorithm. CoRR (2019)
Marylou Gabrié, Jean Barbier, Florent Krzakala, Lenka Zdeborová
Blind Calibration for Sparse Regression: A State Evolution Analysis. CAMSAP (2019)
Marylou Gabrié
Mean-field inference methods for neural networks. CoRR (2019)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. NeurIPS (2018)
Marylou Gabrié, Andre Manoel, Clément Luneau, Jean Barbier, Nicolas Macris, Florent Krzakala, Lenka Zdeborová
Entropy and mutual information in models of deep neural networks. CoRR (2018)
Marylou Gabrié, Varsha Dani, Guilhem Semerjian, Lenka Zdeborová
Phase transitions in the $q$-coloring of random hypergraphs. CoRR (2017)
Eric W. Tramel, Marylou Gabrié, Andre Manoel, Francesco Caltagirone, Florent Krzakala
A Deterministic and Generalized Framework for Unsupervised Learning with Restricted Boltzmann Machines. CoRR (2017)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring Sparsity: Compressed Sensing using Generalized Restricted Boltzmann Machines. CoRR (2016)
Eric W. Tramel, Andre Manoel, Francesco Caltagirone, Marylou Gabrié, Florent Krzakala
Inferring sparsity: Compressed sensing using generalized restricted Boltzmann machines. ITW (2016)
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Training Restricted Boltzmann Machines via the Thouless-Anderson-Palmer Free Energy. CoRR (2015)
Marylou Gabrié, Eric W. Tramel, Florent Krzakala
Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy. NIPS (2015)