About me
My name is François. I am a PhD student in deep learning under the supervision of Prof. Gilles Louppe at the University of Liège in Belgium. My research mainly consists in developing and applying deep learning methods to Bayesian inference problems in large-scale dynamical systems (oceans, atmospheres, ...). My work lies at the intersection of many subjects, most notably density estimation, generative modeling and inverse problems.
Education
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PhD in Machine Learning
University of Liège (since 2021)
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Master of Science in Data Science and Engineering
University of Liège (2019 - 2021)
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Bachelor of Science in Physics and Computer Engineering
University of Liège (2016 - 2019)
Publications
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Score-based Data Assimilation
F. Rozet and G. Louppe at NeurIPS (2023)
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Neural posterior estimation for exoplanetary atmospheric retrieval
M. Vasist, F. Rozet, O. Absil, P. Mollière, E. Nasedkin and G. Louppe in Astronomy & Astrophysics (2023)
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Towards reliable simulation-based inference with balanced neural ratio estimation
A. Delaunoy, J. Hermans, F. Rozet, A. Wehenkel and G. Louppe at NeurIPS (2022)
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A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful
J. Hermans, A. Delaunoy, F. Rozet, A. Wehenkel and G. Louppe in TMLR (2022)
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Arbitrary Marginal Neural Ratio Estimation for Simulation-based Inference
F. Rozet and G. Louppe in ML4PS workshop at NeurIPS (2021)
Honors & Awards
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Research fellow grant
F.R.S.-FNRS (2022)
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Best Master's thesis award
AIM (2021)
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Best Master's thesis award
AILg and NRB (2021)
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Pisart scolarship
University of Liège (2016)
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National Physics olympiad 3rd laureate
ABPPC (2016)
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National Chemistry olympiad 7th laureate
ACLg (2015)
Teaching
Teaching Assistant
- INFO8010
- Deep learning, Prof. Gilles Louppe.
- INFO8006
- Introduction to artificial intelligence, Prof. Gilles Louppe.
- INFO0902
- Data structures and algorithms, Prof. Pierre Geurts.
- INFO0054
- Functional programming, Prof. Christophe Debruyne.
Student Instructor
- ELEN0062
- Introduction to machine learning, Prof. Pierre Geurts and Louis Wehenkel (2020 - 2021).
- INFO8006
- Introduction to artificial intelligence, Prof. Gilles Louppe (2020 - 2021).
- INFO0952
- Additional information technology, Prof. Pierre Geurts (2020 - 2021).
- MATH0487
- Elements of statistics, Prof. Louis Wehenkel (2019 - 2020).
- MATH0504
- Applied mathematics, Prof. Christophe Geuzaine (2019 - 2020).
- PROJ0001
- Introduction to numerical methods, Prof. Quentin Louveaux (2018 - 2019).
- PHYS2021
- Electricity and electromagnetism, Prof. Hervé Caps (2017 - 2019).
- PHYS2020
- Newtonian mechanics, Prof. Hervé Caps (2017 - 2019).