Implicit regularization of random feature models A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel International Conference on Machine Learning, 4631-4640, 2020 | 89 | 2020 |
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 | 71 | 2021 |
Kernel Alignment Risk Estimator: Risk Prediction from Training Data A Jacot, B Şimşek, F Spadaro, C Hongler, F Gabriel arXiv preprint arXiv:2006.09796, 2020 | 55 | 2020 |
Random Lie-point symmetries of stochastic differential equations G Gaeta, F Spadaro Journal of Mathematical Physics 58 (5), 2017 | 28 | 2017 |
Recent advances in symmetry of stochastic differential equations G Gaeta, C Lunini, F Spadaro arXiv preprint arXiv:1901.05533, 2019 | 6 | 2019 |
Asymptotic symmetry and asymptotic solutions to Ito stochastic differential equations G Gaeta, R Kozlov, F Spadaro arXiv preprint arXiv:2110.00670, 2021 | 5 | 2021 |
Symmetry classification of scalar Ito equations with multiplicative noise G Gaeta, F Spadaro Journal of Nonlinear Mathematical Physics 27 (4), 679-687, 2020 | 4 | 2020 |
Complex Analysis meets Statistical Mechanics: Applications to Kernel Methods and Conformal Field Theory F Spadaro EPFL, 2021 | | 2021 |
On the construction of discrete fermions in the FK-Ising model F Spadaro arXiv preprint arXiv:2003.13305, 2020 | | 2020 |
A countable number of homoclinic loops as an {\omega}-limit set for a planar vector field F Spadaro arXiv preprint arXiv:1504.04258, 2015 | | 2015 |
Supplementary Material for Kernel Alignment Risk Estimator: Risk Prediction from Training Data A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel | | |
CSFT JR Fageot, LS Field, FR Gabriel, FG Ged, E Golikov, LPA Hardiman, ... | | |