Obserwuj
Emanuele Troiani
Emanuele Troiani
Zweryfikowany adres z epfl.ch
Tytuł
Cytowane przez
Cytowane przez
Rok
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
132022
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
102022
Stuttering Conway Sequences Are Still Conway Sequences
É Brier, R Géraud-Stewart, D Naccache, A Pacco, E Troiani
arXiv preprint arXiv:2006.06837, 2020
22020
Sparse Representations, Inference and Learning
C Lauditi, E Troiani, M Mézard
arXiv preprint arXiv:2306.16097, 2023
12023
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
12023
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
2024
Gibbs Sampling the Posterior of Neural Networks
G Piccioli, E Troiani, L Zdeborová
arXiv preprint arXiv:2306.02729, 2023
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
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