Louis Grenioux

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About I’m a PhD student at Centre de Mathématiques Appliquées (CMAP) at École Polytechnique with Marylou Gabrié (ENS Ulm) and Éric Moulines (École Polytechnique). I am currently visiting the team of José Miguel Hernández-Lobato at Cambridge until the end of June 2025. I am a gratuated engineer from Télécom SudParis . My reasearch is generously supported by the Hi! Paris research center.

Research interests Generative Models, Sampling, Energy Based Models, Diffusion Models, Flow Matching, Markov Chain Monte Carlo

news

Mar 05, 2025 My latest paper Learned Reference-based Diffusion Sampling for multi-modal distributions co-authored with Maxence Noble, Marylou Gabrié and Alain Durmus has been accepted at ICLR 2025. Moreover, my reflexion paper Improving the evaluation of samplers on multi-modal targets written with Maxence and Marylou was accepted at the workshop Frontiers in Probabilistic Inference: Learning meets Sampling at ICLR 2025. See you in Singapore !
Mar 01, 2025 I will be visiting the team of José Miguel Hernández-Lobato at Cambridge until the end of June 2025. Don’t hesitate to ping me if you are around !
Feb 21, 2025 I will be giving a talk at SampTA 2025 (from July 28 to August 1) in Vienna on sampling with diffusion models and energy-based models.
May 04, 2024 I will be at the ISBA 2024 World Meeting (Venice, Italy) in July 2024. I will give a talk entitled “Transporting measures for sampling: parametric and non-parametric approaches inspired by generative modeling” in the invited session “Monte Carlo algorithms using modern hardware” chaired by Charles Margossian (Flatiron Institute, New York, USA).

selected publications

  1. ICLR
    Improving the evaluation of samplers on multi-modal targets
    Louis Grenioux*Maxence Noble*, and Marylou Gabrié
    In Frontiers in Probabilistic Inference: Learning meets Sampling, 2025
  2. ICLR
    Learned Reference-based Diffusion Sampler for multi-modal distributions
    Maxence Noble*Louis Grenioux*Marylou Gabrié, and 1 more author
    In The Thirteenth International Conference on Learning Representations, 2025
  3. ICML
    Stochastic Localization via Iterative Posterior Sampling
    Louis GreniouxMaxence NobleMarylou Gabrié, and 1 more author
    In Proceedings of the 41st International Conference on Machine Learning, 2024
  4. ICML
    Balanced Training of Energy-Based Models with Adaptive Flow Sampling
    Louis GreniouxÉric Moulines, and Marylou Gabrié
    Workshop on Structured Probabilistic Inference & Generative Modeling, 2023
  5. ICML
    On Sampling with Approximate Transport Maps
    Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, and 1 more author
    In Proceedings of the 40th International Conference on Machine Learning, 2023