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Alessandro Ingrosso · SciRah

Researcher profile · Semantic Scholar

Alessandro Ingrosso

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Alessandro Ingrosso — researcher profile on SciRah

h-index: 14
Works: 29
Citations: 966

Most-cited papers

Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes
Carlo Baldassi, C. Borgs, J. Chayes, Alessandro Ingrosso +3 more
2016Proceedings of the National Academy of Sciences of the United States of America187 citations Open access
Semantic Scholar
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete Synapses.
Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti +1 more
2015Physical Review Letters155 citations Open access
Semantic Scholar
A Disinhibitory Circuit for Contextual Modulation in Primary Visual Cortex
Andreas J. Keller, Mario Dipoppa, Morgane M. Roth, M. S. Caudill +3 more
2020bioRxiv148 citations Open access
Semantic Scholar
Local entropy as a measure for sampling solutions in constraint satisfaction problems
Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti +1 more
201573 citations Open access
Semantic Scholar
Neural networks trained with SGD learn distributions of increasing complexity
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
2022International Conference on Machine Learning70 citations Open access
Semantic Scholar
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso, Sebastian Goldt
2022Proceedings of the National Academy of Sciences of the United States of America52 citations Open access
Semantic Scholar
The patient-zero problem with noisy observations
Fabrizio Altarelli, A. Braunstein, L. Dall'Asta, Alessandro Ingrosso +1 more
201447 citations Open access
Semantic Scholar
Training dynamically balanced excitatory-inhibitory networks
Alessandro Ingrosso, L. Abbott
2018PLoS ONE45 citations Open access
Semantic Scholar
Network reconstruction from infection cascades
A. Braunstein, Alessandro Ingrosso, A. Muntoni
2016Journal of the Royal Society Interface40 citations Open access
Semantic Scholar
Epidemic mitigation by statistical inference from contact tracing data
Antoine Baker, Indaco Biazzo, A. Braunstein, Giovanni Catania +9 more
2020Proceedings of the National Academy of Sciences of the United States of America32 citations Open access
Semantic Scholar
Inference of causality in epidemics on temporal contact networks
A. Braunstein, Alessandro Ingrosso
2016Scientific Reports29 citations Open access
Semantic Scholar
Input correlations impede suppression of chaos and learning in balanced firing-rate networks
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke +1 more
2022PLoS Comput. Biol.25 citations Open access
Semantic Scholar
Statistical Mechanics of Transfer Learning in Fully Connected Networks in the Proportional Limit.
Alessandro Ingrosso, R. Pacelli, P. Rotondo, Federica Gerace
2024Physical Review Letters20 citations Open access
Semantic Scholar
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
F. Bassetti, M. Gherardi, Alessandro Ingrosso, Mauro Pastore +1 more
2024Journal of machine learning research15 citations
Semantic Scholar
Optimal learning with excitatory and inhibitory synapses
Alessandro Ingrosso
2020PLoS Comput. Biol.7 citations Open access
Semantic Scholar
From statistical inference to a differential learning rule for stochastic neural networks
Luca Saglietti, Federica Gerace, Alessandro Ingrosso, Carlo Baldassi +1 more
2018Interface Focus7 citations Open access
Semantic Scholar
Density of states in neural networks: an in-depth exploration of learning in parameter space
Margherita Mele, R. Menichetti, Alessandro Ingrosso, R. Potestio
2024Trans. Mach. Learn. Res.4 citations
Semantic Scholar
Machine learning at the mesoscale: a computation-dissipation bottleneck
Alessandro Ingrosso, Emanuele Panizon
2023Physical Review E4 citations Open access
Semantic Scholar
Input correlations impede suppression of chaos and learning in balanced rate networks
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke +1 more
2022arXiv.org3 citations
Semantic Scholar
The dimensionality of the Hopfield model
Cristopher Erazo, S. Acevedo, Alessandro Ingrosso
2026Physica A: Statistical Mechanics and its Applications2 citations Open access
Semantic Scholar
Generalization performance of narrow one-hidden layer networks in the teacher-student setting
Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi +3 more
2025arXiv.org2 citations
Semantic Scholar
Discovering Neuronal Cell Types and Their Gene Expression Profiles Using a Spatial Point Process Mixture Model
Furong Huang, Anima Anandkumar, C. Borgs, J. Chayes +5 more
20162 citations
Semantic Scholar
Coarse-Graining Hidden Representations: Unsupervised Neuron Selection via Mapping Entropy
Margherita Mele, Andrea Castagna, R. Menichetti, R. Potestio +1 more
20260 citations
Semantic Scholar
Generalization performance of narrow shallow neural networks in the teacher–student setting
R. Perez Ortiz, Gibbs Nwemadji, Jean Barbier, Federica Gerace +3 more
2026Journal of Statistical Mechanics: Theory and Experiment0 citations Open access
Semantic Scholar
A Dynamical Theory of LoRA in Continual Learning
Théo Marchetta, F. Alessandroni, Alessandro Breccia, Alessandro Ingrosso +1 more
20260 citations
Semantic Scholar
An Analytical Theory of Auxiliary Learning
Federico Milanesio, Alessandro Ingrosso, Matteo Osella
20260 citations
Semantic Scholar
From statistical inference to a di(cid:27)erential learning rule for stochastic neural networks
Luca Saglietti, Federica Gerace, Alessandro Ingrosso, Carlo Baldassi +1 more
20180 citations
Semantic Scholar
Statistical Mechanics Approach to Inverse Problems on Networks
Alessandro Ingrosso
20160 citations
Semantic Scholar
2015 Local entropy as a measure for sampling solutions in Constraint Satisfaction Problems
Carlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti +1 more
0 citations
Semantic Scholar

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