Riccardo Zecchina

Bocconi University — Italy

Computer Science · Physical Sciences

51h-index12.9kcitations214works0.42yr avg
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Research Topics

Neural Networks and Applications(51), Constraint Satisfaction and Optimization(33), Neural dynamics and brain function(20), Data Management and Algorithms(20), Theoretical and Computational Physics(19)

Publications214 total

Overlap gap and computational thresholds in the square wave perceptron
Journal of Statistical Mechanics Theory and Experiment·2025
Sampling the space of solutions of an artificial neural network
Physical review. E·2025· 1 citedOpen Access
Dynamical Learning in Deep Asymmetric Recurrent Neural Networks
arXiv (Cornell University)·2025Open Access
Overlap Gap and Computational Thresholds in the Square Wave Perceptron
arXiv (Cornell University)·2025Open Access
Sampling the space of solutions of an artificial neural network
arXiv (Cornell University)·2025Open Access
Impact of dendritic non-linearities on the computational capabilities of neurons
arXiv (Cornell University)·2024Open Access
Impact of dendritic non-linearities on the computational capabilities of neurons
2024· 1 citedOpen Access
Structure of the space of folding protein sequences defined by large language models
Physical Biology·2024· 1 citedOpen Access
Structure of the space of folding protein sequences defined by large language models
arXiv (Cornell University)·2023Open Access
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights
Physical review. E·2023· 15 cited
Neural Networks: From the Perceptron to Deep Nets
WORLD SCIENTIFIC eBooks·2023· 7 citedOpen Access
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
arXiv (Cornell University)·2023Open Access
Neural networks: from the perceptron to deep nets
arXiv (Cornell University)·2023· 4 citedOpen Access
Quantum approximate optimization algorithm applied to the binary perceptron
Physical review. B./Physical review. B·2023· 9 cited
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry*
Journal of Statistical Mechanics Theory and Experiment·2022Open Access
Learning through atypical phase transitions in overparameterized neural networks
Physical review. E·2022· 25 citedOpen Access
Deep learning via message passing algorithms based on belief propagation
Machine Learning Science and Technology·2022· 13 citedOpen Access
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
arXiv (Cornell University)·2022· 7 citedOpen Access
Quantum Approximate Optimization Algorithm applied to the binary perceptron
arXiv (Cornell University)·2021· 2 citedOpen Access
Entropic gradient descent algorithms and wide flat minima*
Journal of Statistical Mechanics Theory and Experiment·2021· 2 citedOpen Access
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Frequent Co-authors

Alfredo Braunstein(12), Carlo Baldassi(11), Andrea Pagnani(10), Marc Mézard(10), Martin Weigt(8), Christian Borgs(6), Jennifer Chayes(6), Rémi Monasson(5), Federico Ricci‐Tersenghi(5), Luca Dall’Asta(4), Chris Sander(3), Michele Leone(3), Fabrizio Altarelli(3), Alessandro Ingrosso(3), Carlo Lucibello(3), Luca Saglietti(3), Debora S. Marks(2), Scott Kirkpatrick(2), Bart Selman(2), Lidror Troyansky(2)