Luca Pesce

According to our database, Luca Pesce authored at least 6 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Asymptotics of feature learning in two-layer networks after one gradient-step.

Hugo Cui, Luca Pesce, Yatin Dandi, Florent Krzakala, Yue M. Lu, Lenka Zdeborová, Bruno Loureiro

CoRR, 2024

The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents.

Yatin Dandi, Emanuele Troiani, Luca Arnaboldi, Luca Pesce, Lenka Zdeborová, Florent Krzakala

CoRR, 2024

2023

Theory and applications of the Sum-Of-Squares technique.

Francis R. Bach, Elisabetta Cornacchia, Luca Pesce, Giovanni Piccioli

CoRR, 2023

Learning Two-Layer Neural Networks, One (Giant) Step at a Time.

Yatin Dandi, Florent Krzakala, Bruno Loureiro, Luca Pesce, Ludovic Stephan

CoRR, 2023

Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation.

Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan

Proceedings of the International Conference on Machine Learning, 2023

2022

Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap.

Luca Pesce, Bruno Loureiro, Florent Krzakala, Lenka Zdeborová

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022