ROTONDO, Pietro

ROTONDO, Pietro  

Dipartimento di Scienze Matematiche, Fisiche e Informatiche  

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Titolo Data di pubblicazione Autore(i) File
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit 1-gen-2023 Pacelli, R.; Ariosto, S.; Pastore, M.; Ginelli, F.; Gherardi, M.; Rotondo, P.
Beyond the Storage Capacity: Data-Driven Satisfiability Transition 1-gen-2020 Rotondo, P.; Pastore, M.; Gherardi, M.
Counting the learnable functions of geometrically structured data 1-gen-2020 Rotondo, Pietro; Lagomarsino, Marco Cosentino; Gherardi, Marco
Current quantization and fractal hierarchy in a driven repulsive lattice gas 1-gen-2017 Rotondo, P.; Sellerio, A. . L.; Glorioso, P.; Caracciolo, S.; Cosentino Lagomarsino, M.; Gherardi, M.
Devil's Staircase Phase Diagram of the Fractional Quantum Hall Effect in the Thin-Torus Limit 1-gen-2016 Rotondo, P.; Molinari, L. G.; Ratti, P.; Gherardi, M.
Dicke simulators with emergent collective quantum computational abilities 1-gen-2015 Rotondo, Pietro; Cosentino Lagomarsino, Marco; Viola, Giovanni
Dynamics of strongly coupled disordered dissipative spin-bosons systems 1-gen-2020 Fiorelli, E; Rotondo, P; Carollo, F; Marcuzzi, M; Lesanovsky, I
Effective spin physics in two-dimensional cavity QED arrays 1-gen-2017 Minar, J; Gunes Soyler, S; Rotondo, P; Lesanovsky, I
Generalisation from correlated sets of patterns in the perceptron model 1-gen-2019 Borra, F; Rotondo, P; Cosentino Lagomarsino, M; Gherardi, M
Intrinsic dimension estimation for locally undersampled data 1-gen-2019 Erba, Vittorio; Gherardi, Marco; Rotondo, Pietro
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization 1-gen-2024 Ciceri, Simone; Cassani, Lorenzo; Osella, Matteo; Rotondo, Pietro; Valle, Filippo; Gherardi, Marco
Jack on a Devil’s Staircase 1-gen-2018 Di Gioacchino, Andrea; Gherardi, Marco; Molinari, Luca Guido; Rotondo, Pietro
Large deviations of the free energy in the p-spin glass spherical model 1-gen-2019 Pastore, Mauro; Di Gioacchino, Andrea; Rotondo, Pietro
Measuring logic complexity can guide pattern discovery in empirical systems 1-gen-2016 Gherardi, M.; Rotondo, P.
Open quantum generalisation of Hopfield neural networks 1-gen-2018 Rotondo, P; Marcuzzi, M; Garrahan, J P; Lesanovsky, I; Muller, M
Predictive Power of a Bayesian Effective Action for Fully Connected One Hidden Layer Neural Networks in the Proportional Limit 1-gen-2024 Baglioni, P.; Pacelli, R.; Aiudi, R.; Di Renzo, F.; Vezzani, A.; Burioni, R.; Rotondo, P.
Quantum accelerated approach to the thermal state of classical spin systems with application to pattern retrieval in the Hopfield neural network 1-gen-2019 Fiorelli, E; Rotondo, P; Marcuzzi, M; J. P., Garrahan; Lesanovsky, I
Random geometric graphs in high dimension 1-gen-2020 Erba, Vittorio; Ariosto, Sebastiano; Gherardi, Marco; Rotondo, Pietro
Replica symmetry breaking in cold atoms and spin glasses 1-gen-2015 Rotondo, P.; Tesio, E.; Caracciolo, S.
Resolution of similar patterns in a solvable model of unsupervised deep learning with structured data 1-gen-2024 Baroffio, A.; Rotondo, P.; Gherardi, M.