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Carlo Lucibello

Showing results (1-10 of 12) with videos related to

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Physical Review Letters|March 1, 2024
Exponential Capacity of Dense Associative MemoriesCarlo Lucibello, Marc Mézard
Physical Review. E|February 18, 2017
One-loop diagrams in the random Euclidean matching problemCarlo Lucibello, Giorgio Parisi, Gabriele Sicuro
Plos Computational Biology|June 23, 2022
Interpretable pairwise distillations for generative protein sequence modelsChristoph Feinauer, Barthelemy Meynard-Piganeau, Carlo Lucibello
Plos One|January 26, 2024
Information-theoretical analysis of the neural code for decoupled face representationMiguel Ibáñez-Berganza, Carlo Lucibello, Luca Mariani, et al.
Physical Review Letters|October 3, 2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete SynapsesCarlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, et al.
Physical Review. E|June 15, 2016
Learning may need only a few bits of synaptic precisionCarlo Baldassi, Federica Gerace, Carlo Lucibello, et al.
Physical Review. E|September 19, 2023
Noise cleaning the precision matrix of short time seriesMiguel Ibáñez-Berganza, Carlo Lucibello, Francesca Santucci, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 19, 2020
Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperatureMaria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, et al.
Physical Review Letters|March 4, 2022
Unexpected Upper Critical Dimension for Spin Glass Models in a Field Predicted by the Loop Expansion around the Bethe Solution at Zero TemperatureMaria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemesCarlo Baldassi, Christian Borgs, Jennifer T Chayes, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Physical Review Letters|March 1, 2024
Exponential Capacity of Dense Associative MemoriesCarlo Lucibello, Marc Mézard
Physical Review. E|February 18, 2017
One-loop diagrams in the random Euclidean matching problemCarlo Lucibello, Giorgio Parisi, Gabriele Sicuro
Plos Computational Biology|June 23, 2022
Interpretable pairwise distillations for generative protein sequence modelsChristoph Feinauer, Barthelemy Meynard-Piganeau, Carlo Lucibello
Plos One|January 26, 2024
Information-theoretical analysis of the neural code for decoupled face representationMiguel Ibáñez-Berganza, Carlo Lucibello, Luca Mariani, et al.
Physical Review Letters|October 3, 2015
Subdominant Dense Clusters Allow for Simple Learning and High Computational Performance in Neural Networks with Discrete SynapsesCarlo Baldassi, Alessandro Ingrosso, Carlo Lucibello, et al.
Physical Review. E|June 15, 2016
Learning may need only a few bits of synaptic precisionCarlo Baldassi, Federica Gerace, Carlo Lucibello, et al.
Physical Review. E|September 19, 2023
Noise cleaning the precision matrix of short time seriesMiguel Ibáñez-Berganza, Carlo Lucibello, Francesca Santucci, et al.
Proceedings of the National Academy of Sciences of the United States of America|January 19, 2020
Loop expansion around the Bethe solution for the random magnetic field Ising ferromagnets at zero temperatureMaria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, et al.
Physical Review Letters|March 4, 2022
Unexpected Upper Critical Dimension for Spin Glass Models in a Field Predicted by the Loop Expansion around the Bethe Solution at Zero TemperatureMaria Chiara Angelini, Carlo Lucibello, Giorgio Parisi, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 19, 2016
Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemesCarlo Baldassi, Christian Borgs, Jennifer T Chayes, et al.
Pageof 2