François Rozet

According to our database, François Rozet authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Training-Free Bayesian Filtering with Generative Emulators.

Thomas Savary, François Rozet, Gilles Louppe

CoRR, May, 2026

2025

Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme.

Rudy Morel, Francesco Pio Ramunno, Jeff Shen, Alberto Bietti, Kyunghyun Cho, Miles D. Cranmer, Siavash Golkar, Olexandr Gugnin, Géraud Krawezik, Tanya Marwah, Michael McCabe, Lucas Meyer, Payel Mukhopadhyay, Ruben Ohana, Liam Holden Parker, Helen Qu, François Rozet, K. D. Leka, François Lanusse, David Fouhey, Shirley Ho

CoRR, November, 2025

Walrus: A Cross-Domain Foundation Model for Continuum Dynamics.

Michael McCabe, Payel Mukhopadhyay, Tanya Marwah, Bruno Régaldo-Saint Blancard, François Rozet, Cristiana Diaconu, Lucas Meyer, Kaze W. K. Wong, Hadi Sotoudeh, Alberto Bietti, Irina Espejo, Rio Fear, Siavash Golkar, Tom Hehir, Keiya Hirashima, Géraud Krawezik, François Lanusse, Rudy Morel, Ruben Ohana, Liam Holden Parker, Mariel Pettee, Jeff Shen, Kyunghyun Cho, Miles D. Cranmer, Shirley Ho

CoRR, November, 2025

Training-Free Data Assimilation with GenCast.

Thomas Savary, François Rozet, Gilles Louppe

CoRR, September, 2025

Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation.

Gérôme Andry, François Rozet, Sacha Lewin, Omer Rochman Sharabi, Victor Mangeleer, Matthias Pirlet, Elise Faulx, Marilaure Grégoire, Gilles Louppe

CoRR, April, 2025

Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation.

François Rozet, Ruben Ohana, Michael McCabe, Gilles Louppe, François Lanusse, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Learning Diffusion Priors from Observations by Expectation Maximization.

François Rozet, Gérôme Andry, François Lanusse, Gilles Louppe

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.

Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina Julia Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model.

François Rozet, Gilles Louppe

CoRR, 2023

Score-based Data Assimilation.

François Rozet, Gilles Louppe

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful.

Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe

Trans. Mach. Learn. Res., 2022

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation.

Arnaud Delaunoy, Joeri Hermans, François Rozet, Antoine Wehenkel, Gilles Louppe

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Averting A Crisis In Simulation-Based Inference.

Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Gilles Louppe

CoRR, 2021

Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference.

François Rozet, Gilles Louppe

CoRR, 2021