Luca Saglietti

According to our database, Luca Saglietti authored at least 19 papers between 2016 and 2024.

Collaborative distances:

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

2024

How transformers learn structured data: insights from hierarchical filtering.

Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti

CoRR, 2024

The phase diagram of compressed sensing with ℓ₀-norm regularization.

Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová

CoRR, 2024

The twin peaks of learning neural networks.

Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti

CoRR, 2024

Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks.

Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew M. Saxe, Luca Saglietti

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The star-shaped space of solutions of the spherical negative perceptron.

Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti

CoRR, 2023

Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery.

Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová

CoRR, 2023

Optimal transfer protocol by incremental layer defrosting.

Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio

CoRR, 2023

Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery.

Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová

Proceedings of the IEEE Information Theory Workshop, 2023

2022

Probing transfer learning with a model of synthetic correlated datasets.

Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová

Mach. Learn. Sci. Technol., 2022

Inducing bias is simpler than you think.

Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti

CoRR, 2022

An Analytical Theory of Curriculum Learning in Teacher-Student Networks.

Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe

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

2021

Large deviations in the perceptron model and consequences for active learning.

Hugo Cui, Luca Saglietti, Lenka Zdeborová

Mach. Learn. Sci. Technol., 2021

Solvable Model for Inheriting the Regularization through Knowledge Distillation.

Luca Saglietti, Lenka Zdeborová

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2019

Generalized Approximate Survey Propagation for High-Dimensional Estimation.

Carlo Lucibello, Luca Saglietti, Yue M. Lu

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Out of equilibrium Statistical Physics of learning.

Luca Saglietti

PhD thesis, 2018

Gaussian Process Prior Variational Autoencoders.

Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On the role of synaptic stochasticity in training low-precision neural networks.

Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina

CoRR, 2017

2016

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

Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina

Proc. Natl. Acad. Sci. USA, 2016

Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles.

Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina

CoRR, 2016