Michael E. Sander

According to our database, Michael E. Sander authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Understanding the Universality of Transformers for Next-Token Prediction.

Michael E. Sander, Gabriel Peyré

CoRR, 2024

How do Transformers Perform In-Context Autoregressive Learning ?

Michael Eli Sander, Raja Giryes, Taiji Suzuki, Mathieu Blondel, Gabriel Peyré

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Implicit regularization of deep residual networks towards neural ODEs.

Pierre Marion, Yu-Han Wu, Michael Eli Sander, Gérard Biau

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective.

Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel

Proceedings of the International Conference on Machine Learning, 2023

2022

Do Residual Neural Networks discretize Neural Ordinary Differential Equations?

Michael E. Sander, Pierre Ablin, Gabriel Peyré

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vision Transformers provably learn spatial structure.

Samy Jelassi, Michael E. Sander, Yuanzhi Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sinkformers: Transformers with Doubly Stochastic Attention.

Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Momentum Residual Neural Networks.

Michael E. Sander, Pierre Ablin, Mathieu Blondel, Gabriel Peyré

Proceedings of the 38th International Conference on Machine Learning, 2021