Momentum Residual Neural Networks ME Sander, P Ablin, M Blondel, G Peyré International Conference on Machine Learning 139, 9276-9287, 2021 | 64 | 2021 |
Vision Transformers provably learn spatial structure S Jelassi, ME Sander, Y Li Advances in Neural Information Processing Systems 35, 2022 | 61 | 2022 |
Sinkformers: Transformers with doubly stochastic attention ME Sander, P Ablin, M Blondel, G Peyré International Conference on Artificial Intelligence and Statistics, 2022 | 54 | 2022 |
Do Residual Neural Networks discretize Neural Ordinary Differential Equations? ME Sander, P Ablin, G Peyré Advances in Neural Information Processing Systems 35, 2022 | 23 | 2022 |
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ME Sander, J Puigcerver, J Djolonga, G Peyré, M Blondel International Conference on Machine Learning, 2023 | 11 | 2023 |
Implicit regularization of deep residual networks towards neural ODEs P Marion, YH Wu, ME Sander, G Biau International Conference on Learning Representations, 2023 | 7 | 2023 |
How do Transformers perform In-Context Autoregressive Learning? ME Sander, R Giryes, T Suzuki, M Blondel, G Peyré International Conference on Machine Learning, 2024 | 3 | 2024 |
Unveiling the secrets of paintings: deep neural networks trained on high-resolution multispectral images for accurate attribution and authentication ME Sander, T Sander, M Sylvestre Sixteenth International Conference on Quality Control by Artificial Vision …, 2023 | 1 | 2023 |