Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference. - François Rozet; Gilles Louppe (CoRR, 2021)

Averting A Crisis In Simulation-Based Inference. - Joeri Hermans; Arnaud Delaunoy; François Rozet; Antoine Wehenkel; Gilles Louppe (CoRR, 2021)

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. - Arnaud Delaunoy; Joeri Hermans; François Rozet; Antoine Wehenkel; Gilles Louppe (NeurIPS, 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)

Score-based Data Assimilation. - François Rozet; Gilles Louppe (NeurIPS, 2023)

Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model. - François Rozet; Gilles Louppe (CoRR, 2023)

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. - Ruben Ohana; Michael McCabe; Lucas Meyer; Rudy Morel; Fruzsina J. Agocs; Miguel Beneitez; Marsha Berger; Blakesley Burkhart; Stuart B. Dalziel; Drummond B. Fielding; Daniel Fortunato; Jared A. Goldberg; et al. (NeurIPS, 2024)

Learning Diffusion Priors from Observations by Expectation Maximization. - François Rozet; Gérôme Andry; François Lanusse; Gilles Louppe (NeurIPS, 2024)

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, 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 (CoRR, 2025)