| Vision Transformers provably learn spatial structure S Jelassi, ME Sander, Y Li Advances in Neural Information Processing Systems 35, 2022 | 103 | 2022 |
| Sinkformers: Transformers with doubly stochastic attention ME Sander, P Ablin, M Blondel, G Peyré International Conference on Artificial Intelligence and Statistics, 2022 | 86 | 2022 |
| Momentum Residual Neural Networks ME Sander, P Ablin, M Blondel, G Peyré International Conference on Machine Learning 139, 9276-9287, 2021 | 74 | 2021 |
| Do Residual Neural Networks discretize Neural Ordinary Differential Equations? ME Sander, P Ablin, G Peyré Advances in Neural Information Processing Systems 35, 2022 | 36 | 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 | 24 | 2023 |
| Implicit regularization of deep residual networks towards neural ODEs P Marion, YH Wu, ME Sander, G Biau International Conference on Learning Representations, 2024 | 18 | 2024 |
| How do Transformers perform In-Context Autoregressive Learning? ME Sander, R Giryes, T Suzuki, M Blondel, G Peyré International Conference on Machine Learning, 2024 | 15 | 2024 |
| Towards understanding the universality of Transformers for next-token prediction ME Sander, G Peyré International Conference on Learning Representations, 2025 | 3 | 2025 |
| 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 | 2 | 2023 |
| Joint learning of energy-based models and their partition function ME Sander, V Roulet, T Liu, M Blondel arXiv preprint arXiv:2501.18528, 2025 | 1 | 2025 |
| Loss Functions and Operators Generated by f-Divergences V Roulet, T Liu, N Vieillard, ME Sander, M Blondel arXiv preprint arXiv:2501.18537, 2025 | | 2025 |
| Deeper Learning: Residual Networks, Neural Differential Equations and Transformers, in Theory and Action ME Sander Ecole Normale Supérieure de Paris-ENS Paris, 2024 | | 2024 |
Gabriel PeyréCNRS, DMA, Ecole Normale Supérieure確認したメール アドレス: ens.fr