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Ludovic Stephan
Ludovic Stephan
Postdoc, EPFL
Zweryfikowany adres z epfl.ch - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Robustness of spectral methods for community detection
L Stephan, L Massoulié
Conference on Learning Theory, 2831-2860, 2019
372019
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
302022
Non-backtracking spectra of weighted inhomogeneous random graphs
L Stephan, L Massoulié
Mathematical Statistics and Learning 5 (3), 201-271, 2022
222022
Gaussian universality of linear classifiers with random labels in high-dimension
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
arXiv preprint arXiv:2205.13303, 2022
192022
Sparse random hypergraphs: Non-backtracking spectra and community detection
L Stephan, Y Zhu
Information and Inference: A Journal of the IMA 13 (1), iaae004, 2024
162024
From high-dimensional & mean-field dynamics to dimensionless ODEs: A unifying approach to SGD in two-layers networks
L Arnaboldi, L Stephan, F Krzakala, B Loureiro
The Thirty Sixth Annual Conference on Learning Theory, 1199-1227, 2023
162023
Learning two-layer neural networks, one (giant) step at a time
Y Dandi, F Krzakala, B Loureiro, L Pesce, L Stephan
arXiv preprint arXiv:2305.18270, 2023
112023
Universality laws for gaussian mixtures in generalized linear models
Y Dandi, L Stephan, F Krzakala, B Loureiro, L Zdeborová
Advances in Neural Information Processing Systems 36, 2024
102024
Are Gaussian data all you need? The extents and limits of universality in high-dimensional generalized linear estimation
L Pesce, F Krzakala, B Loureiro, L Stephan
International Conference on Machine Learning, 27680-27708, 2023
102023
Planting trees in graphs, and finding them back
L Massoulié, L Stephan, D Towsley
Conference on Learning Theory, 2341-2371, 2019
102019
A simpler spectral approach for clustering in directed networks
S Coste, L Stephan
arXiv preprint arXiv:2102.03188, 2021
62021
Gaussian universality of perceptrons with random labels
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
arXiv preprint arXiv:2205.13303, 2022
52022
Escaping mediocrity: how two-layer networks learn hard single-index models with SGD
L Arnaboldi, F Krzakala, B Loureiro, L Stephan
arXiv preprint arXiv:2305.18502, 2023
32023
A non-backtracking method for long matrix and tensor completion
L Stephan, Y Zhu
arXiv preprint arXiv:2304.02077, 2023
32023
Gaussian universality of perceptrons with random labels
F Gerace, F Krzakala, B Loureiro, L Stephan, L Zdeborová
Physical Review E 109 (3), 034305, 2024
12024
Inference problems in large random graphs
L Stephan
Sorbonne Université, 2021
2021
Inférence dans des grands graphes aléatoires
L Stephan
Sorbonne université, 2021
2021
Inference in large random graphs
L Massoulié, L Stéphan
2021
Phase diagram of SGD in high-dimensional two-layer neural networks
R Veiga, L Stephan, B Loureiro, F Krzakala, L Zdeborová
Group ID U13826 Affiliated authors Arnaboldi, Luca
G Dalle, H Francelet, D Ghio, F Krzakala, P Mergny, G Sicuro, L Stephan, ...
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