Rigorous dynamical mean field theory for stochastic gradient descent methods C Gerbelot, E Troiani, F Mignacco, F Krzakala, L Zdeborova arXiv preprint arXiv:2210.06591, 2022 | 14 | 2022 |
Optimal denoising of rotationally invariant rectangular matrices E Troiani, V Erba, F Krzakala, A Maillard, L Zdeborová Mathematical and Scientific Machine Learning 190, 97--112, 2022 | 14 | 2022 |
Stuttering Conway Sequences Are Still Conway Sequences É Brier, R Géraud-Stewart, D Naccache, A Pacco, E Troiani arXiv preprint arXiv:2006.06837, 2020 | 2 | 2020 |
The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents Y Dandi, E Troiani, L Arnaboldi, L Pesce, L Zdeborová, F Krzakala arXiv preprint arXiv:2402.03220, 2024 | 1 | 2024 |
Sparse Representations, Inference and Learning C Lauditi, E Troiani, M Mézard arXiv preprint arXiv:2306.16097, 2023 | 1 | 2023 |
Gibbs sampling the posterior of neural networks G Piccioli, E Troiani, L Zdeborová Journal of Physics A: Mathematical and Theoretical, 2023 | 1 | 2023 |
Asymptotic characterisation of robust empirical risk minimisation performance in the presence of outliers M Vilucchio, E Troiani, V Erba, F Krzakala arXiv preprint arXiv:2305.18974, 2023 | 1 | 2023 |
The Look-and-Say The Biggest Sequence Eventually Cycles É Brier, R Géraud-Stewart, D Naccache, A Pacco, E Troiani arXiv preprint arXiv:2006.07246, 2020 | | 2020 |