Scholar
François Rozet
Google Scholar ID: C-WS1pwAAAAJ
PhD student, University of Liège
deep learning
generative modeling
bayesian inference
physics emulation
good shit
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
436
H-index
9
i10-index
7
Publications
14
Co-authors
17
list available
Contact
Email
francois.rozet@uliege.be
CV
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GitHub
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Publications
6 items
Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme
2025
Cited
0
Training-Free Data Assimilation with GenCast
2025
Cited
0
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics Emulation
2025
Cited
0
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation
2025
Cited
0
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning
Neural Information Processing Systems · 2024
Cited
1
Learning Diffusion Priors from Observations by Expectation Maximization
Neural Information Processing Systems · 2024
Cited
33
Resume (English only)
Academic Achievements
Published multiple papers in top venues such as NeurIPS and TMLR, including:
“The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning” (NeurIPS 2024)
“Learning Diffusion Priors from Observations by Expectation Maximization” (NeurIPS 2024)
“Score-based Data Assimilation” (NeurIPS 2023)
“A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful” (TMLR 2022)
Developed and maintains open-source libraries such as Zuko, PIQA, and Inox, with thousands of daily users
Co-authors
17 total
Arnaud Delaunoy
PhD student, University of Liège
Antoine Wehenkel
Apple AI/ML Research
Co-author 3
Co-author 4
Gérôme Andry
PhD Student
François Lanusse
CNRS Researcher
Olivier Absil
FNRS Senior Research Associate, University of Liège
Co-author 8
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