Publications and communications of François Rozet

Rozet, F. (2026). Generative Modeling in Large-scale Dynamical Systems [Doctoral thesis, ULiège - University of Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/337979

Andry, G., Lewin, S., Rozet, F., Rochman, O., Mangeleer, V., Pirlet, M., Faulx, E., Grégoire, M., & Louppe, G. (06 December 2025). Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation [Paper presentation]. Machine Learning and the Physical Sciences Workshop (NeurIPS 2025), San Diego, United States - California. doi:10.48550/arXiv.2504.18720

Andry, G., Lewin, S., Rozet, F., Rochman, O., Mangeleer, V., Pirlet, M., Faulx, E., Grégoire, M., & Louppe, G. (06 December 2025). Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation [Poster presentation]. Machine Learning and the Physical Sciences Workshop (NeurIPS 2025).

Rozet, F., Ohana, R., McCabe, M., Louppe, G., Lanusse, F., & Ho, S. (03 July 2025). Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation. Advances in Neural Information Processing Systems, 38.

Andry, G., Rozet, F., Lewin, S., Rochman, O., Mangeleer, V., Pirlet, M., Faulx, E., Grégoire, M., & Louppe, G. (2025). Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/333961.

Savary, T., Rozet, F., & Louppe, G. (2025). Training-Free Data Assimilation with GenCast [Poster presentation]. Climate Change AI Workshop, San Diego, United States - California.

Ohana, R.* , McCabe, M.* , Meyer, L., Morel, R., Agocs, F. J., Beneitez, M., Berger, M., Burkhart, B., Dalziel, S. B., Fielding, D. B., Fortunato, D., Goldberg, J. A., Hirashima, K., Jiang, Y.-F., Kerswell, R. R., Maddu, S., Miller, J., Mukhopadhyay, P., Nixon, S. S., ... Ho, S. (30 November 2024). The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning. Advances in Neural Information Processing Systems, 37.
* These authors have contributed equally to this work.

Rozet, F., Andry, G., Lanusse, F., & Louppe, G. (22 May 2024). Learning Diffusion Priors from Observations by Expectation Maximization. Advances in Neural Information Processing Systems, 37.

Vasist, M., Rozet, F., Absil, O., Mollière, P., Nasedkin, E., & Louppe, G. (14 April 2023). Neural posterior estimation for exoplanetary atmospheric retrieval. Astronomy and Astrophysics, 672, 147. doi:10.1051/0004-6361/202245263

Rozet, F., & Louppe, G. (2023). Score-based Data Assimilation for a Two-Layer Quasi-Geostrophic Model [Poster presentation]. Machine Learning and the Physical Sciences Workshop (NeurIPS 2023), New Orleans, United States - Louisiana.

Rozet, F., & Louppe, G. (2023). Score-based Data Assimilation. Advances in Neural Information Processing Systems, 36.

Delaunoy, A.* , Hermans, J.* , Rozet, F., Wehenkel, A., & Louppe, G. (December 2022). Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. Advances in Neural Information Processing Systems, 35.
* These authors have contributed equally to this work.

Hermans, J., Delaunoy, A., Rozet, F., Wehenkel, A., & Louppe, G. (2022). A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. Transactions on Machine Learning Research.

Rozet, F., & Louppe, G. (13 December 2021). Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference [Poster presentation]. Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021), Vancouver, Canada.