Sander, Michael Eli

6 publications

ICML 2025 Joint Learning of Energy-Based Models and Their Partition Function Michael Eli Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel

ICML 2025 Loss Functions and Operators Generated by F-Divergences Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael Eli Sander, Mathieu Blondel

ICLR 2025 Towards Understanding the Universality of Transformers for Next-Token Prediction Michael Eli Sander, Gabriel Peyré

ICML 2024 How Do Transformers Perform In-Context Autoregressive Learning ? Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré

ICLR 2024 Implicit Regularization of Deep Residual Networks Towards Neural ODEs Pierre Marion, Yu-Han Wu, Michael Eli Sander, Gérard Biau

ICML 2023 Fast, Differentiable and Sparse Top-K: A Convex Analysis Perspective Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel