Alessandro Ingrosso

Orcid: 0000-0001-5430-7559

According to our database¹, Alessandro Ingrosso authored at least 10 papers between 2016 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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On csauthors.net:

Bibliography

2023

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

[BibT_eX]

[DOI]

Alessandro Ingrosso

Emanuele Panizon

CoRR, 2023

Neural networks trained with SGD learn distributions of increasing complexity.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

PLoS Comput. Biol., December, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

2020

Optimal learning with excitatory and inhibitory synapses.

[BibT_eX]

[DOI]

Alessandro Ingrosso

PLoS Comput. Biol., 2020

Epidemic mitigation by statistical inference from contact tracing data.

[BibT_eX]

[DOI]

Stefano Sarao Mannelli

Lenka Zdeborová

CoRR, 2020

2018

Training dynamically balanced excitatory-inhibitory networks.

[BibT_eX]

[DOI]

Alessandro Ingrosso

L. F. Abbott

CoRR, 2018

2016

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

[BibT_eX]

[DOI]

Proc. Natl. Acad. Sci. USA, 2016

Network reconstruction from infection cascades.

[BibT_eX]

[DOI]

Alfredo Braunstein

Alessandro Ingrosso

CoRR, 2016

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

[BibT_eX]

[DOI]

CoRR, 2016

Alessandro Ingrosso

Timeline

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Bibliography

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