Alessandro Ingrosso

Postdoctoral Fellows
Postdoctoral fellow
Alessandro Ingrosso
Quantitative Life Sciences
+39 040 2240 144
ingrosso@ictp.it
+39 040 2240 144
ingrosso@ictp.it
SISSA-214
https://scholar.google.co.uk/citations?user=nmk3WzgAAAAJ&hl=en
0000-0001-5430-7559

Alessandro Ingrosso

Computational Neuroscience - Statistical Physics applications to inference - Machine Learning

2016-2020: Postdoc, Center for Theoretical Neuroscience, Columbia University, New York, NY, USA
2013-2016: Ph.D. in Physics, Politecnico di Torino, Turin, Italy

Publications

Preprint
2023
Machine learning at the mesoscale: a computation-dissipation bottleneck
Alessandro Ingrosso | Emanuele Panizon
Preprint
2022
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso | Sebastian Goldt
Journal article
2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networks
PLOS Computational Biology (2022)
Rainer Engelken | Alessandro Ingrosso | Ramin Khajeh | Sven Goedeke | L. F. Abbott
Journal article
2022
Data-driven emergence of convolutional structure in neural networks
Proceedings of the National Academy of Sciences (2022)
Alessandro Ingrosso | Sebastian Goldt
Journal article
2021
Epidemic mitigation by statistical inference from contact tracing data
Proceedings of the National Academy of Sciences of the United States of America (2021)
Baker, A. | Biazzo, I. | Braunstein, A. | Catania, G. | Dall'Asta, L. | Ingrosso, A. | Krzakala, F. | Mazza, F. | Mézard, M. | Muntoni, A.P. | Refinetti, M. | Mannelli, S.S. | Zdeborová, L.
Preprint
2020
Optimal Learning with Excitatory and Inhibitory synapses
Alessandro Ingrosso
Journal article
2020
A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex
Neuron (2020)
Keller, A.J. | Dipoppa, M. | Roth, M.M. | Caudill, M.S. | Ingrosso, A. | Miller, K.D. | Scanziani, M.
Journal article
2020
Optimal learning with excitatory and inhibitory synapses
PLoS Computational Biology (2020)
Ingrosso, A.
Journal article
2019
Network reconstruction from infection cascades
Journal of the Royal Society Interface (2019)
Braunstein, A. | Ingrosso, A. | Muntoni, A.P.
Journal article
2019
Training dynamically balanced excitatory-inhibitory networks
PLoS ONE (2019)
Ingrosso, A. | Abbott, L.F.
Preprint
2018
Training dynamically balanced excitatory-inhibitory networks
Alessandro Ingrosso | L. F. Abbott
Journal article
2018
From statistical inference to a differential learning rule for stochastic neural networks
Interface Focus (2018)
Saglietti, L. | Gerace, F. | Ingrosso, A. | Baldassi, C. | Zecchina, R.
Preprint
2016
Network reconstruction from infection cascades
Alfredo Braunstein | Alessandro Ingrosso | Anna Paola Muntoni
Journal article
2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes
Proceedings of the National Academy of Sciences of the United States of America (2016)
Baldassi, C. | Borgs, C. | Chayes, J.T. | Ingrosso, A. | Lucibello, C. | Saglietti, L. | Zecchina, R.
Journal article
2016
Inference of causality in epidemics on temporal contact networks
Scientific Reports (2016)
Braunstein, A. | Ingrosso, A.
Journal article
2016
Local entropy as a measure for sampling solutions in constraint satisfaction problems
Journal of Statistical Mechanics: Theory and Experiment (2016)
Baldassi, C. | Ingrosso, A. | Lucibello, C. | Saglietti, L. | Zecchina, R.
Journal article
2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses
Physical Review Letters (2015)
Baldassi, C. | Ingrosso, A. | Lucibello, C. | Saglietti, L. | Zecchina, R.
Journal article
2014
The patient-zero problem with noisy observations
Journal of Statistical Mechanics: Theory and Experiment (2014)
Altarelli, F. | Braunstein, A. | Dall'Asta, L. | Ingrosso, A. | Zecchina, R.

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