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I am an Assistant Professor at Laboratoire de Physique (LPENS) of École Normale Supérieure.

My research lies at the boundary of machine learning and statistical mechanics. I am developing machine learning methods to solve computational problems in statistical physics, with a particular focus on generative models and sampling problems. As such, some aspects of my research also applies to Bayesian inference.

From 2022 to 2024, I was an Assistant Professor at Centre de Mathématiques Appliquées (CMAP) of École Polytechnique. Before that, I had the pleasure to work with F. Krzakala and L. Zdeborová during my PhD, and with E. Vanden-Eijnden during my postdoc.

News

CECAM workshop, December 02-04 2024 in Lausanne, Switzerland

2024-10-10

We are excited to announce a new CECAM workshop on Generative Models for Classical and Quantum Matter, co-organised with Grant Rotskoff, Rose Cersonsky and Giuseppe Carleo. You can apply to join us through the workshop webpage!

Spotlight paper at ICML, July 2024 in Vienna, Austria

2024-07-04

Congratulations to Louis Grenioux and Maxence Noble for the acceptance as a spotlight of our work "Sampling through Iterative Posterior Sampling" along with Alain Oliviero on sampling arbitrary distributions with stochastic localization processes. You can read the paper on arXiv and meet Louis and Maxence at ICML.

SaclAI 4 Science Workshop, July 8-12 2024 in Palaiseau, France

2024-04-06

Are you a scientist (Ph.D., postdoc or permnanent) interested in learning about ML and exploring its potential for your research? Have you already found out how ML can be more than a keyword to get funding? Are you not afraid of riding the RER B? Join us for the Sacl-AI 4 Science Workshop! Regisration is free but mandatory. Deadline for submitting contributions is April 15. More information on the [Event website].

Youth in High-Dimensions, May 20-24 2024 at ICTP Trieste, Italy

2024-03-06

We are excited to announce the 5th edition of Youth in High-Dimensions: a workshop focused on giving emerging researchers the opportunity to present results in high-dimensional problems arising in machine learning, inference, statistical physics, and neuroscience. Registration is free. Apply by March 31 through the [Event website].