Publications by authors named "Carlo Lucibello"

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Exponential Capacity of Dense Associative Memories.
Carlo Lucibello, Marc Mézard

Phys Rev Lett· February 2024

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Information-theoretical analysis of the neural code for decoupled face representation.
Miguel Ibáñez-Berganza, Carlo Lucibello, Luca Mariani, Giovanni Pezzulo

PLoS One· January 2024

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Star-Shaped Space of Solutions of the Spherical Negative Perceptron.
Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M Malatesta, Gabriele Perugini

Phys Rev Lett· December 2023

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Noise cleaning the precision matrix of short time series.
Miguel Ibáñez-Berganza, Carlo Lucibello, Francesca Santucci, Tommaso Gili, Andrea Gabrielli

Phys Rev E· August 2023

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Interpretable pairwise distillations for generative protein sequence models.
Christoph Feinauer, Barthelemy Meynard-Piganeau, Carlo Lucibello

PLoS Comput Biol· June 2022

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Unexpected Upper Critical Dimension for Spin Glass Models in a Field Predicted by the Loop Expansion around the Bethe Solution at Zero Temperature.
Maria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, Gianmarco Perrupato, Federico Ricci-Tersenghi

Phys Rev Lett· February 2022

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Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperature.
Maria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, Federico Ricci-Tersenghi, Tommaso Rizzo

Proc Natl Acad Sci U S A· February 2020

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Role of Synaptic Stochasticity in Training Low-Precision Neural Networks.
Carlo Baldassi, Federica Gerace, Hilbert J Kappen, Carlo Lucibello, Luca Saglietti

Phys Rev Lett· June 2018

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One-loop diagrams in the random Euclidean matching problem.
Carlo Lucibello, Giorgio Parisi, Gabriele Sicuro

Phys Rev E· January 2017

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Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.
Carlo Baldassi, Christian Borgs, Jennifer T Chayes, Alessandro Ingrosso, Carlo Lucibello

Proc Natl Acad Sci U S A· November 2016

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Learning may need only a few bits of synaptic precision.
Carlo Baldassi, Federica Gerace, Carlo Lucibello, Luca Saglietti, Riccardo Zecchina

Phys Rev E· May 2016

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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, Riccardo Zecchina

Phys Rev Lett· September 2015

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