Luca Saglietti

32 papers A* 5B 1Journal 23Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biased Generalization in Diffusion Models.
CoRR
Jerome Garnier-Brun, Luca Biggio, Davide Beltrame, Marc Mézard, Luca Saglietti
2025 A* conf
How Transformers Learn Structured Data: Insights From Hierarchical Filtering.
ICML
Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti
2025 J jnl
On the Bias of Next-Token Predictors Toward Systematically Inefficient Reasoning: A Shortest-Path Case Study.
CoRR
Riccardo Alberghi, Elizaveta Demyanenko, Luca Biggio, Luca Saglietti
2024 J jnl
How to choose the right transfer learning protocol? A qualitative analysis in a controlled set-up.
Trans. Mach. Learn. Res.
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
2024 J jnl
How transformers learn structured data: insights from hierarchical filtering.
CoRR
Jerome Garnier-Brun, Marc Mézard, Emanuele Moscato, Luca Saglietti
2024 J jnl
The phase diagram of compressed sensing with ℓ
CoRR
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2024 J jnl
The twin peaks of learning neural networks.
CoRR
Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
2024 J jnl
The twin peaks of learning neural networks.
Mach. Learn. Sci. Technol.
Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
2024 A* conf
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks.
ICML
Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew M. Saxe, Luca Saglietti
2024 J jnl
Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks.
CoRR
Stefano Sarao Mannelli, Yaraslau Ivashinka, Andrew M. Saxe, Luca Saglietti
2023 J jnl
Compressed sensing with l0-norm: statistical physics analysis and algorithms for signal recovery.
CoRR
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023 B conf
Compressed sensing with ℓ0-norm: statistical physics analysis & algorithms for signal recovery.
ITW
Damien Barbier, Carlo Lucibello, Luca Saglietti, Florent Krzakala, Lenka Zdeborová
2023 J jnl
Optimal transfer protocol by incremental layer defrosting.
CoRR
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio
2023 J jnl
The star-shaped space of solutions of the spherical negative perceptron.
CoRR
Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti
2022 A* conf
An Analytical Theory of Curriculum Learning in Teacher-Student Networks.
NeurIPS
Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe
2022 J jnl
Inducing bias is simpler than you think.
CoRR
Stefano Sarao Mannelli, Federica Gerace, Negar Rostamzadeh, Luca Saglietti
2022 J jnl
Probing transfer learning with a model of synthetic correlated datasets.
Mach. Learn. Sci. Technol.
Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
2021 J jnl
An Analytical Theory of Curriculum Learning in Teacher-Student Networks.
CoRR
Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe
2021 J jnl
Large deviations in the perceptron model and consequences for active learning.
Mach. Learn. Sci. Technol.
Hugo Cui, Luca Saglietti, Lenka Zdeborová
2021 J jnl
Probing transfer learning with a model of synthetic correlated datasets.
CoRR
Federica Gerace, Luca Saglietti, Stefano Sarao Mannelli, Andrew M. Saxe, Lenka Zdeborová
2021 — conf
Solvable Model for Inheriting the Regularization through Knowledge Distillation.
MSML
Luca Saglietti, Lenka Zdeborová
2020 — conf
Large deviations for the perceptron model and consequences for active learning.
MSML
Hugo Cui, Luca Saglietti, Lenka Zdeborová
2020 J jnl
Solvable Model for Inheriting the Regularization through Knowledge Distillation.
CoRR
Luca Saglietti, Lenka Zdeborová
2019 A* conf
Generalized Approximate Survey Propagation for High-Dimensional Estimation.
ICML
Carlo Lucibello, Luca Saglietti, Yue M. Lu
2019 J jnl
Generalized Approximate Survey Propagation for High-Dimensional Estimation.
CoRR
Luca Saglietti, Yue M. Lu, Carlo Lucibello
2019 J jnl
Large deviations for the perceptron model and consequences for active learning.
CoRR
Hugo Cui, Luca Saglietti, Lenka Zdeborová
2018 A* conf
Gaussian Process Prior Variational Autoencoders.
NeurIPS
Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2018 J jnl
Gaussian Process Prior Variational Autoencoders.
CoRR
Francesco Paolo Casale, Adrian V. Dalca, Luca Saglietti, Jennifer Listgarten, Nicoló Fusi
2018 — —
Out of equilibrium Statistical Physics of learning.
Luca Saglietti
2017 J jnl
On the role of synaptic stochasticity in training low-precision neural networks.
CoRR
Carlo Baldassi, Federica Gerace, Hilbert J. Kappen, Carlo Lucibello, Luca Saglietti, Enzo Tartaglione, Riccardo Zecchina
2016 J jnl
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles.
CoRR
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
2016 J jnl
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
Proc. Natl. Acad. Sci. USA
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina