Optimal Stopping in Latent Diffusion Model
Yu-Han Wu, Quentin Berthet, Gérard Biau, Claire Boyer, Romuald Elie & Pierre Marion (2025). Optimal Stopping in Latent Diffusion Model. arXiv preprint arXiv:2510.08409.
CV
Education
- Ph.D in Applied Mathematics and Machine Learning, Sorbonne University, 2027 (expected)
- Diploma of ENS in Applied Mathematics, Ecole Normale Supérieure, 2024
- M.S. in Statistics and Machine Learning, University Paris-Saclay, 2023
- B.S. in Applied Mathematics, University Paris-Cité, 2021
- Classe préparatoire, Lycée Louis-Le-Grand, 2020
Work experience
- Winter 2023: Research Intern
- Owkin
- Research topic: Federated Learning (FL) and Invariant Risk Minimization (IRM)
- Supervisor: Ulysse Marteau-Ferey
- Summer 2023: Research Intern
- Sorbonne University
- Research topic: Implicit regularization of residual network
- Supervisor: Gérard Biau, Pierre Marion
- Summer 2022: Research Intern
- California Institute of Technology
- Research topic: Extremal Combinatorics and Euclidean Ramsey Theory
- Supervisor: David Conlon
Skills
- Mathemtatics
- Python
Publications
Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization
Wu, Y. H., Marion, P., Biau, G., & Boyer, C. (2025). Taking a Big Step: Large Learning Rates in Denoising Score Matching Prevent Memorization. Proceedings of Thirty Eighth Conference on Learning Theory, PMLR 291:5718-5756
Implicit regularization of deep residual networks towards neural ODEs
Pierre Marion, Yu-Han Wu, Michael Eli Sander, & Gerard Biau (2024). Implicit regularization of deep residual networks towards neural ODEs. In The Twelfth International Conference on Learning Representations.
More on lines in Euclidean Ramsey theory
Conlon, D., & Wu, Y. H. (2023). More on lines in Euclidean Ramsey theory. Comptes Rendus. Mathématique, 361(G5), 897-901.