Curriculum vitae

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Education

PhD in Physics — 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.

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). OpenReview

See the publications page for figures and BibTeX.

Conferences, workshops & seminars

Invited talks

LemanTH 2026 — Lausanne, Switzerland
Workshop. Talk on the memorization/generalization transition in diffusion models.
Vitelli Group Meeting — online
Group meeting. Talk on the non-reciprocal p-spins.
Scattering Club — online
Invited seminar (1 h) on the memorization/generalization transition in diffusion models. Hosted by the Data Science for Astrophysics group at LPENS.
Voxel51 “Best of NeurIPS 2025” — online
30-minute invited seminar on the memorization/generalization transition in diffusion models.
Centre de Sciences des Données Internal Seminar — Paris, France
Invited seminar (1 h) on the memorization/generalization transition in diffusion models.
Machine Learning & Signal Processing Seminar— ENS Lyon, France
Invited seminar (1 h) on the memorization/generalization transition in diffusion models.

Contributed talks

Journées de Physique Statistique 2026 — Paris, France
Conference. 4-minute flash talk on the memorization/generalization transition.
EurIPS 2025 — Copenhagen, Denmark
Conference. Poster + oral presentation of our NeurIPS 2025 paper.
NeurIPS in Paris 2025 — Paris, France
Workshop. Poster + oral presentation of our NeurIPS 2025 paper.
StatPhys 29 — Florence, Italy
Conference. 15-minute contributed talk on the memorization/generalization transition.
Youth in High Dimensions — Trieste, Italy
Workshop. 15-minute contributed talk on the memorization/generalization transition.
Journées de Physique Statistique 2025 — Paris, France
Conference. 4-minute flash talk presenting results from my M2 internship.

Summer schools

Beg Rohu Summer School of Statistical Physics — Beg Rohu, France
Lectures on machine learning and statistical physics. Poster on the memorization/generalization transition.
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, Machine Learning (M2 ICFP, ENS-PSL)
Co-taught with Marc Lelarge and Leonardo Defilippis.
TA, Mathematics tutoring for first-year physics students at ENS
36 hours, in French, with Amir-Kian Kashani-Poor.
TA, Stochastic Processes for Physics (M1 ICFP, ENS-PSL)
16 hours, in English, with Marylou Gabrié.
Khôlles in mathematics and physics — Lycée Stanislas
Oral preparation for Classes Préparatoires PC.

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.