Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks R Veiga, L Stephan, B Loureiro, F Krzakala, L Zdeborová Advances in Neural Information Processing Systems 35, 23244-23255, 2022 | 35 | 2022 |
Learning curves for the multi-class teacher–student perceptron E Cornacchia, F Mignacco, R Veiga, C Gerbelot, B Loureiro, L Zdeborová Machine Learning: Science and Technology 4 (1), 015019, 2023 | 17 | 2023 |
Restricted Boltzmann Machine Flows and The Critical Temperature of Ising models R Veiga, R Vicente arXiv preprint arXiv:2006.10176, 2020 | 3 | 2020 |
Age-structured estimation of COVID-19 ICU demand from low quality data R Veiga, R Murta, R Vicente arXiv preprint arXiv:2006.06530, 2020 | 2 | 2020 |
Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features R Veiga, A Remizova, N Macris arXiv preprint arXiv:2402.07626, 2024 | 1 | 2024 |
Effects of correlated hybridization in the single-impurity Anderson model V Líbero, R Veiga APS March Meeting Abstracts 2013, R19. 004, 2013 | | 2013 |