Profil

Rozet François

Dép. d'électric., électron. et informat. (Inst.Montefiore) > Big Data

Montefiore Institute

See author's contact details
ORCID
0000-0002-8846-8761
Main Referenced Co-authors
Louppe, Gilles  (6)
Delaunoy, Arnaud  (2)
Hermans, Joeri  (2)
Wehenkel, Antoine  (2)
Absil, Olivier  (1)
Main Referenced Keywords
Statistics - Machine Learning (2); Approximate Bayesian inference (1); astro-ph.EP (1); astro-ph.IM (1); Astronomy and Astrophysics (1);
Main Referenced Disciplines
Computer science (6)
Space science, astronomy & astrophysics (2)

Publications (total 6)

The most downloaded
103 downloads
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. https://hdl.handle.net/2268/265148

The most cited

6 citations (Scopus®)

Vasist, M., Rozet, F., Absil, O., Mollière, P., Nasedkin, E., & Louppe, G. (April 2023). Neural posterior estimation for exoplanetary atmospheric retrieval. Astronomy and Astrophysics, 672, 147. doi:10.1051/0004-6361/202245263 https://hdl.handle.net/2268/302949

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

Rozet, F., & Louppe, G. (2023). Score-based Data Assimilation. Advances in Neural Information Processing Systems.
Peer Reviewed verified by ORBi

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.
Peer reviewed

Delaunoy, A.* , Hermans, J.* , Rozet, F., Wehenkel, A., & Louppe, G. (2022). Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. Advances in Neural Information Processing Systems.
Peer Reviewed verified by ORBi
* 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.
Peer Reviewed verified by ORBi

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.
Peer reviewed

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