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Luca Pesce
Luca Pesce
PhD student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
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
122023
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
122023
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
22024
Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap
L Pesce, B Loureiro, F Krzakala, L Zdeborová
Advances in Neural Information Processing Systems 35, 27087-27099, 2022
12022
Asymptotics of feature learning in two-layer networks after one gradient-step
H Cui, L Pesce, Y Dandi, F Krzakala, YM Lu, L Zdeborová, B Loureiro
arXiv preprint arXiv:2402.04980, 2024
2024
Theory and applications of the Sum-Of-Squares technique
F Bach, E Cornacchia, L Pesce, G Piccioli
arXiv preprint arXiv:2306.16255, 2023
2023
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Articles 1–6