Alessandro Ingrosso

According to our database, Alessandro Ingrosso authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers.

Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo

CoRR, 2024

2023

Machine learning at the mesoscale: a computation-dissipation bottleneck.

Alessandro Ingrosso, Emanuele Panizon

CoRR, 2023

Neural networks trained with SGD learn distributions of increasing complexity.

Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt

Proceedings of the International Conference on Machine Learning, 2023

2022

Input correlations impede suppression of chaos and learning in balanced firing-rate networks.

Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott

PLoS Comput. Biol., December, 2022

Input correlations impede suppression of chaos and learning in balanced rate networks.

Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott

CoRR, 2022

2020

Optimal learning with excitatory and inhibitory synapses.

Alessandro Ingrosso

PLoS Comput. Biol., 2020

Epidemic mitigation by statistical inference from contact tracing data.

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

CoRR, 2020

2018

Training dynamically balanced excitatory-inhibitory networks.

Alessandro Ingrosso, L. F. Abbott

CoRR, 2018

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

Network reconstruction from infection cascades.

Alfredo Braunstein, Alessandro Ingrosso

CoRR, 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