L. Saglietti

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes

Christian Borgs, Carlo Baldassi, Alessandro Ingrosso, 2016, Proceedings of the National Academy of Sciences.

Large deviations for the perceptron model and consequences for active learning

Luca Saglietti, Lenka Zdeborov'a, Hugo Cui, 2019, MSML.

Solvable Model for Inheriting the Regularization through Knowledge Distillation

Luca Saglietti, Lenka Zdeborov'a, L. Saglietti, 2020, MSML.

An analytical theory of curriculum learning in teacher–student networks

Andrew M. Saxe, Stefano Sarao Mannelli, Luca Saglietti, 2021, NeurIPS.

Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.

Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, 2015, Physical review letters.

Optimal transfer protocol by incremental layer defrosting

Stefano Sarao Mannelli, Luca Saglietti, A. Laio, 2023, ArXiv.

Large deviations of semisupervised learning in the stochastic block model.

Luca Saglietti, Lenka Zdeborov'a, Hugo Cui, 2021, Physical review. E.

Generalized approximate survey propagation for high-dimensional estimation pdf

Carlo Lucibello, Luca Saglietti, Yue M. Lu, 2019, ICML.