| 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 | 15 | 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 |
| 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 | 2 | 2024 |
| 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 |
| Asymptotic Characterisation of the Performance of Robust Linear Regression in the Presence of Outliers M Vilucchio, E Troiani, V Erba, F Krzakala International Conference on Artificial Intelligence and Statistics, 811-819, 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 |
| 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 |
