Curriculum vitae

↓ Download PDF

Education

PhD in Physics and Machine Learning — ENS-PSL, Paris
Subject: Generative diffusion and statistical physics · LPENS & Centre de Sciences des Données
Supervisors: Giulio Biroli (ENS) and Marc Mézard (Bocconi University)
ENS Diploma — ENS-PSL, Paris
Interdisciplinary diploma validating my studies at ENS.
M2 ICFP, Theoretical Physics Track — ENS-PSL, Paris
First Class Honors, 17.38/20.
M1 ICFP — ENS-PSL, Paris
First Class Honors, 17.8/20.
Bachelor in Physics and Mathematics — ENS-PSL, Paris
First Class Honors, 17.38/20 (Physics) and 16.36/20 (Mathematics).

Publications

* denotes equal contribution.

Preprints

Raphaël Urfin*, Tony Bonnaire*, Giulio Biroli, Marc Mézard.
Double Descent and Malign Overfitting in Diffusion Models.
arXiv:2609.26392. arXiv

Conference proceedings

Tony Bonnaire*, Raphaël Urfin*, Giulio Biroli, Marc Mézard.
Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training.
NeurIPS 2025 — Best Paper Award (4 papers among 20,000+ submissions).
Advances in Neural Information Processing Systems 38, 141266–141286. Proceedings
Extended version selected for the JSTAT special issue Machine Learning 2026: J. Stat. Mech. (2026) 084007.

See the publications page for figures and BibTeX.

Conferences, workshops & seminars

Invited talks

Generative Memory Lab — Donders Institute, Radboud University (online)
Invited seminar
LemanTH 2026 — Lausanne, Switzerland
Workshop
Vitelli Group Meeting — online
Group meeting (non-reciprocal p-spins)
Scattering Club — Data Science for Astrophysics group, LPENS (online)
Invited seminar (1 hour)
Voxel51 “Best of NeurIPS 2025” — online
Invited seminar (30 min)
Centre de Sciences des Données Internal Seminar — Paris, France
Invited seminar (30 min)
Machine Learning & Signal Processing @ ENS Lyon — Lyon, France
Invited seminar (1 hour)

Contributed talks

Journées de Physique Statistique 2026 — Paris, France
Conference (4-min flash talk)
EurIPS 2025 — Copenhagen, Denmark
Conference (poster + 13-min oral)
NeurIPS in Paris 2025 — Paris, France
Workshop (poster + 10-min oral)
StatPhys 29 — Florence, Italy
Conference (15-min talk)
Youth in High Dimensions — Trieste, Italy
Workshop (15-min talk)
Journées de Physique Statistique 2025 — Paris, France
Conference (4-min flash talk)

Summer schools

Beg Rohu Summer School of Statistical Physics — Beg Rohu, France
  • 2026 Edition (Optimization and Control of Nonequilibrium Systems): Lectures by international researchers (e.g., G. Peyré, G. Rotskoff...). Presented an updated poster on Memorization/Generalization in diffusion models.
  • 2025 Edition (Learning with Machines, Physics and Mind): Lectures on Machine Learning and Statistical Physics by international researchers (e.g., Yann LeCun, Julia Kempe, Stéphane Mallat, Marc Mézard...). Presented initial poster on Memorization/Generalization in diffusion models.
Complex and Glassy Systems — Cargèse, France
Lectures on statistical physics and interdisciplinary applications.

Awards & grants

Best Paper Award at NeurIPS 2025
One of four best-paper awards among 20,000+ submissions.
CDSN — competitive PhD scholarship for ENS students

Reviewing

  • Workshops: EurIPS 2025 (Principles of Generative Modeling — PriGM), ICLR 2026 (DeLTa), ICLR 2026 (Sci4DL).
  • Journals: Transactions on Machine Learning Research (TMLR).

Teaching

TA, Phase Transitions (M1 ICFP, ENS-PSL)
16 hours, taught in English with Giulio Biroli.
TA, Mathematics tutoring for first-year physics students at ENS
36 hours, taught in French with Amir-Kian Kashani-Poor.
TA, Machine Learning (M2 ICFP, ENS-PSL)
11 hours, taught in English with Marc Lelarge and Leonardo Defilippis.
TA, Stochastic Processes for Physics (M1 ICFP, ENS-PSL)
16 hours, taught in English with Marylou Gabrié.

Research experience

Statistical Physics & Diffusion Models — Bocconi University, Milan, Italy
Research internship with Marc Mézard (Dept. of Computing Sciences). The memorization/generalization transition in diffusion models. Resulted in a NeurIPS 2025 paper.
Statistical Physics & Diffusion Models — ENS-PSL, France
Research internship with Giulio Biroli (Centre de Sciences des Données). The effect of implicit regularization in diffusion models.

Skills

  • Languages. French (native), English (fluent), Italian (fluent).
  • Software. Python (PyTorch), Matlab, LaTeX.