Alessandro Ingrosso

18 papers A* 1Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Density of states in neural networks: an in-depth exploration of learning in parameter space.
Trans. Mach. Learn. Res.
Margherita Mele, Roberto Menichetti, Alessandro Ingrosso, Raffaello Potestio
2025 J jnl
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers.
J. Mach. Learn. Res.
Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo
2025 J jnl
Generalization performance of narrow one-hidden layer networks in the teacher-student setting.
CoRR
Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi, Enrico M. Malatesta, Gibbs Nwemadji, Rodrigo Pérez Ortiz
2025 — conf
How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks.
CPAL
William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt
2024 J jnl
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers.
CoRR
Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo
2024 J jnl
On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks.
CoRR
William T. Redman, Zhangyang Wang, Alessandro Ingrosso, Sebastian Goldt
2023 J jnl
Machine learning at the mesoscale: a computation-dissipation bottleneck.
CoRR
Alessandro Ingrosso, Emanuele Panizon
2023 A* conf
Neural networks trained with SGD learn distributions of increasing complexity.
ICML
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
2022 J jnl
Input correlations impede suppression of chaos and learning in balanced firing-rate networks.
PLoS Comput. Biol.
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott
2022 J jnl
Input correlations impede suppression of chaos and learning in balanced rate networks.
CoRR
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott
2022 J jnl
Neural networks trained with SGD learn distributions of increasing complexity.
CoRR
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
2020 J jnl
Epidemic mitigation by statistical inference from contact tracing data.
CoRR
Antoine Baker, Indaco Biazzo, Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Alessandro Ingrosso, Florent Krzakala, Fabio Mazza, Marc Mézard, Anna Paola Muntoni, Maria Refinetti, Stefano Sarao Mannelli, Lenka Zdeborová
2020 J jnl
Optimal Learning with Excitatory and Inhibitory synapses.
CoRR
Alessandro Ingrosso
2020 J jnl
Optimal learning with excitatory and inhibitory synapses.
PLoS Comput. Biol.
Alessandro Ingrosso
2018 J jnl
Training dynamically balanced excitatory-inhibitory networks.
CoRR
Alessandro Ingrosso, L. F. Abbott
2016 J jnl
Network reconstruction from infection cascades.
CoRR
Alfredo Braunstein, Alessandro Ingrosso
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