Alessandro Ingrosso

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Number Of Hidden Units

Contingency Tables

Statistical Inference

Trained Neural Network

Top Venues

PLoS Comput. Biol.

Proc. Natl. Acad. Sci. USA

Publications

Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers. CoRR (2024)
Alessandro Ingrosso, Emanuele Panizon
Machine learning at the mesoscale: a computation-dissipation bottleneck. CoRR (2023)
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
Neural networks trained with SGD learn distributions of increasing complexity. ICML (2023)
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott
Input correlations impede suppression of chaos and learning in balanced rate networks. CoRR (2022)
Rainer Engelken, Alessandro Ingrosso, Ramin Khajeh, Sven Goedeke, L. F. Abbott
Input correlations impede suppression of chaos and learning in balanced firing-rate networks. PLoS Comput. Biol. 18 (12) (2022)
Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
Neural networks trained with SGD learn distributions of increasing complexity. CoRR (2022)
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
Epidemic mitigation by statistical inference from contact tracing data. CoRR (2020)
Alessandro Ingrosso
Optimal learning with excitatory and inhibitory synapses. PLoS Comput. Biol. 16 (12) (2020)
Alessandro Ingrosso
Optimal Learning with Excitatory and Inhibitory synapses. CoRR (2020)
Alessandro Ingrosso, L. F. Abbott
Training dynamically balanced excitatory-inhibitory networks. CoRR (2018)
Alfredo Braunstein, Alessandro Ingrosso
Network reconstruction from infection cascades. CoRR (2016)
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
Unreasonable Effectiveness of Learning Neural Nets: Accessible States and Robust Ensembles. CoRR (2016)
Carlo Baldassi, Christian Borgs, Jennifer T. Chayes, Alessandro Ingrosso, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Proc. Natl. Acad. Sci. USA 113 (48) (2016)