| Landscape and training regimes in deep learning M Geiger, L Petrini, M Wyart Physics Reports 924, 1-18, 2021 | 58* | 2021 |
| Geometric compression of invariant manifolds in neural networks J Paccolat, L Petrini, M Geiger, K Tyloo, M Wyart Journal of Statistical Mechanics: Theory and Experiment 2021 (4), 044001, 2021 | 45 | 2021 |
| How deep neural networks learn compositional data: The random hierarchy model F Cagnetta, L Petrini, UM Tomasini, A Favero, M Wyart Physical Review X 14 (3), 031001, 2024 | 25 | 2024 |
| Learning sparse features can lead to overfitting in neural networks L Petrini, F Cagnetta, E Vanden-Eijnden, M Wyart Advances in Neural Information Processing Systems 35, 2022 | 20 | 2022 |
| Relative stability toward diffeomorphisms indicates performance in deep nets L Petrini, A Favero, M Geiger, M Wyart Advances in Neural Information Processing Systems 34, 2021 | 17* | 2021 |
| How deep convolutional neural networks lose spatial information with training UM Tomasini, L Petrini, F Cagnetta, M Wyart Machine Learning: Science and Technology 4 (4), 045026, 2023 | 9 | 2023 |
| Learning sparse features can lead to overfitting in neural networks L Petrini, F Cagnetta, E Vanden-Eijnden, M Wyart Journal of Statistical Mechanics: Theory and Experiment 2023 (11), 114003, 2023 | 4 | 2023 |
| Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations L Petrini arXiv preprint arXiv:2310.16154, 2023 | 1 | 2023 |
| Diffeomorphisms invariance is a proxy of performance in deep neural networks L Petrini, A Favero, M Geiger, M Wyart APS March Meeting Abstracts 2023, Q53. 013, 2023 | | 2023 |
| Relative stability toward diffeomorphisms indicates performance in deep nets L Petrini, A Favero, M Geiger, M Wyart Journal of Statistical Mechanics: Theory and Experiment 2022 (11), 114013, 2022 | | 2022 |
| How neural nets compress invariant manifolds J Paccolat, L Petrini, M Geiger, K Tyloo, M Wyart APS March Meeting Abstracts 2021, B60. 007, 2021 | | 2021 |
| Classification and Regression Studies for Flavour Tagging L Petrini | | 2018 |
Matthieu WyartProfessor of Physics, Johns HopkinsПодтвержден адрес электронной почты в домене epfl.ch