Alessandro Ingrosso

Orcid: 0000-0001-5430-7559

According to our database1, Alessandro Ingrosso authored at least 11 papers between 2016 and 2024.

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Bibliography

2024
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers.
CoRR, 2024

2023
Machine learning at the mesoscale: a computation-dissipation bottleneck.
CoRR, 2023

Neural networks trained with SGD learn distributions of increasing complexity.
Proceedings of the International Conference on Machine Learning, 2023

2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networks.
PLoS Comput. Biol., December, 2022

Input correlations impede suppression of chaos and learning in balanced rate networks.
CoRR, 2022

2020
Optimal learning with excitatory and inhibitory synapses.
PLoS Comput. Biol., 2020

Epidemic mitigation by statistical inference from contact tracing data.
CoRR, 2020

2018
Training dynamically balanced excitatory-inhibitory networks.
CoRR, 2018

2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
Proc. Natl. Acad. Sci. USA, 2016

Network reconstruction from infection cascades.
CoRR, 2016

Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles.
CoRR, 2016


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