Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances B Simsek, F Ged, A Jacot, F Spadaro, C Hongler, W Gerstner, J Brea International Conference on Machine Learning, 9722-9732, 2021 | 67 | 2021 |
Saddle-to-saddle dynamics in deep linear networks: Small initialization training, symmetry, and sparsity A Jacot, F Ged, B Şimşek, C Hongler, F Gabriel arXiv preprint arXiv:2106.15933, 2021 | 29 | 2021 |
Deep linear networks dynamics: Low-rank biases induced by initialization scale and l2 regularization A Jacot, F Ged, F Gabriel, B Simsek, C Hongler arXiv preprint arXiv:2106.15933 3, 2021 | 15 | 2021 |
Profile of a self-similar growth-fragmentation FG Ged | 7 | 2019 |
Order and chaos: NTK views on DNN normalization, checkerboard and boundary artifacts A Jacot, F Gabriel, F Ged, C Hongler arXiv preprint arXiv:1907.05715, 2019 | 6 | 2019 |
Freeze and chaos: Ntk views on dnn normalization, checkerboard and boundary artifacts A Jacot, F Gabriel, F Ged, C Hongler Mathematical and Scientific Machine Learning, 257-270, 2022 | 4 | 2022 |
Intrinsic area near the origin for self-similar growth-fragmentations and related random surfaces FG Ged Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 58 (2 …, 2022 | 4 | 2022 |
Moran model with simultaneous strong and weak selections: convergence towards a -Wright-Fisher SDE FG Ged arXiv preprint arXiv:2003.14092, 2020 | 1 | 2020 |
The Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escaping, and Network Embedding Z Wu, B Simsek, F Ged arXiv preprint arXiv:2402.05626, 2024 | | 2024 |
The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond MH Veiga, FG Ged The Mathematics of Machine Learning, 2024 | | 2024 |
Matryoshka Policy Gradient for Entropy-Regularized RL: Convergence and Global Optimality F Ged, MH Veiga arXiv preprint arXiv:2303.12785, 2023 | | 2023 |
Mathematical Foundations of Machine Learning MH Veiga, FG Ged | | 2022 |
Intrinsic area of self-similar growth-fragmentations and Moran model undergoing strong selection F Ged University of Zurich, 2020 | | 2020 |
CSFT JR Fageot, LS Field, FR Gabriel, FG Ged, E Golikov, LPA Hardiman, ... | | |