Michael E. Sander

16 papers A* 3A 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clustering in Deep Stochastic Transformers. CoRR Lev Fedorov, Michael E. Sander, Romuald Elie, Pierre Marion, Mathieu Laurière
2025	J	`jnl`	Autoregressive Language Models are Secretly Energy-Based Models: Insights into the Lookahead Capabilities of Next-Token Prediction. CoRR Mathieu Blondel, Michael E. Sander, Germain Vivier-Ardisson, Tianlin Liu, Vincent Roulet
2025	J	`jnl`	Joint Learning of Energy-based Models and their Partition Function. CoRR Michael E. Sander, Vincent Roulet, Tianlin Liu, Mathieu Blondel
2025	J	`jnl`	Loss Functions and Operators Generated by f-Divergences. CoRR Vincent Roulet, Tianlin Liu, Nino Vieillard, Michael E. Sander, Mathieu Blondel
2024	J	`jnl`	How do Transformers perform In-Context Autoregressive Learning? CoRR Michael E. Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré
2024	J	`jnl`	Towards Understanding the Universality of Transformers for Next-Token Prediction. CoRR Michael E. Sander, Gabriel Peyré
2023	J	`jnl`	Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective. CoRR Michael E. Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel
2023	J	`jnl`	Implicit regularization of deep residual networks towards neural ODEs. CoRR Pierre Marion, Yu-Han Wu, Michael E. Sander, Gérard Biau
2022	A*	`conf`	Do Residual Neural Networks discretize Neural Ordinary Differential Equations? NeurIPS Michael E. Sander, Pierre Ablin, Gabriel Peyré
2022	J	`jnl`	Do Residual Neural Networks discretize Neural Ordinary Differential Equations? CoRR Michael E. Sander, Pierre Ablin, Gabriel Peyré
2022	A	`conf`	Sinkformers: Transformers with Doubly Stochastic Attention. AISTATS Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2022	A*	`conf`	Vision Transformers provably learn spatial structure. NeurIPS Samy Jelassi, Michael E. Sander, Yuanzhi Li
2022	J	`jnl`	Vision Transformers provably learn spatial structure. CoRR Samy Jelassi, Michael E. Sander, Yuanzhi Li
2021	A*	`conf`	Momentum Residual Neural Networks. ICML Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2021	J	`jnl`	Momentum Residual Neural Networks. CoRR Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré
2021	J	`jnl`	Sinkformers: Transformers with Doubly Stochastic Attention. CoRR Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré