François Rozet

Hi, my name is François! I solve challenging scientific problems with AI. I am interested in many topics, including generative modeling, inverse problems, and physics emulation, both from an application and theoretical perspective. I hold a PhD in Machine Learning from the University of Liège in Belgium, advised by Prof. Gilles Louppe. I currently work as a Research Scientist at the Ellison Institute of Technology.

I am also passionate about software development and open-source software. I regularly contribute to open-source projects and have published several libraries with thousands of daily users such as Zuko, PIQA and Inox.

For more information, take a look at my resume.

Here follows a list of selected publications. For the full list, see my scholar page.

1. Walrus: A Cross-domain Foundation Model for Continuum Dynamics

   McCabe, Mukhopadhyay, Marwah et al. in International Conference on Machine Learning (2026)

   https://openreview.net/forum?id=kcyOjXoUZu

2. Generative Modeling in Large-scale Dynamical Systems

   Rozet (2026)

   https://orbi.uliege.be/handle/2268/337979

3. Training-Free Bayesian Filtering with Generative Emulators

   Savary, Rozet and Louppe in International Conference on Machine Learning (2026)

   https://openreview.net/forum?id=ibcZNZwKfZ

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

   Andry, Rozet, Lewin et al. (2025)

   https://arxiv.org/abs/2504.18720

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

   Rozet, Ohana, McCabe et al. in Advances in Neural Information Processing Systems (2025)

   https://openreview.net/forum?id=xoNrbfbekM

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

   Ohana, McCabe, Meyer et al. in Advances in Neural Information Processing Systems (2024)

   https://openreview.net/forum?id=00Sx577BT3

7. Learning Diffusion Priors from Observations by Expectation Maximization

   Rozet, Andry, Lanusse and Louppe in Advances in Neural Information Processing Systems (2024)

   https://openreview.net/forum?id=7v88Fh6iSM

8. Score-based Data Assimilation

   Rozet and Louppe in Advances in Neural Information Processing Systems (2023)

   https://openreview.net/forum?id=VUvLSnMZdX

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

   Delaunoy, Hermans, Rozet, Wehenkel and Louppe in Advances in Neural Information Processing Systems (2022)

   https://openreview.net/forum?id=o762mMj4XK

10. A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful

    Hermans, Delaunoy, Rozet, Wehenkel and Louppe in Transactions on Machine Learning Research (2022)

    https://openreview.net/forum?id=LHAbHkt6Aq