Mezard, Marc

6 publications

ICLR 2026 Overshoot and Shrinkage in Classifier-Free Guidance: From Theory to Practice Krunoslav Lehman Pavasovic, Jakob Verbeek, Giulio Biroli, Marc Mezard

ICML 2025 How Transformers Learn Structured Data: Insights from Hierarchical Filtering Jerome Garnier-Brun, Marc Mezard, Emanuele Moscato, Luca Saglietti

ICLRW 2025 The Capacity of Modern Hopfield Networks Under the Data Manifold Hypothesis Beatrice Achilli, Luca Ambrogioni, Carlo Lucibello, Marc Mezard, Enrico Ventura

NeurIPS 2025 Why Diffusion Models Don’t Memorize: The Role of Implicit Dynamical Regularization in Training Tony Bonnaire, Raphaël Urfin, Giulio Biroli, Marc Mezard

NeurIPS 2021 Learning Curves of Generic Features Maps for Realistic Datasets with a Teacher-Student Model Bruno Loureiro, Cedric Gerbelot, Hugo Cui, Sebastian Goldt, Florent Krzakala, Marc Mezard, Lenka Zdeborová

ICML 2020 Generalisation Error in Learning with Random Features and the Hidden Manifold Model Federica Gerace, Bruno Loureiro, Florent Krzakala, Marc Mezard, Lenka Zdeborova