ROTONDO, Pietro
ROTONDO, Pietro
Dipartimento di Scienze Matematiche, Fisiche e Informatiche
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit
2023-01-01 Pacelli, R.; Ariosto, S.; Pastore, M.; Ginelli, F.; Gherardi, M.; Rotondo, P.
Beyond the Storage Capacity: Data-Driven Satisfiability Transition
2020-01-01 Rotondo, P.; Pastore, M.; Gherardi, M.
Counting the learnable functions of geometrically structured data
2020-01-01 Rotondo, Pietro; Lagomarsino, Marco Cosentino; Gherardi, Marco
Current quantization and fractal hierarchy in a driven repulsive lattice gas
2017-01-01 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
2016-01-01 Rotondo, P.; Molinari, L. G.; Ratti, P.; Gherardi, M.
Dicke simulators with emergent collective quantum computational abilities
2015-01-01 Rotondo, Pietro; Cosentino Lagomarsino, Marco; Viola, Giovanni
Dynamics of strongly coupled disordered dissipative spin-bosons systems
2020-01-01 Fiorelli, E; Rotondo, P; Carollo, F; Marcuzzi, M; Lesanovsky, I
Effective spin physics in two-dimensional cavity QED arrays
2017-01-01 Minar, J; Gunes Soyler, S; Rotondo, P; Lesanovsky, I
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
2024-01-01 Bassetti, Federico; Gherardi, Marco; Ingrosso, Alessandro; Pastore, Mauro; Rotondo, Pietro
Generalisation from correlated sets of patterns in the perceptron model
2019-01-01 Borra, F; Rotondo, P; Cosentino Lagomarsino, M; Gherardi, M
Intrinsic dimension estimation for locally undersampled data
2019-01-01 Erba, Vittorio; Gherardi, Marco; Rotondo, Pietro
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization
2024-01-01 Ciceri, Simone; Cassani, Lorenzo; Osella, Matteo; Rotondo, Pietro; Valle, Filippo; Gherardi, Marco
Jack on a Devil’s Staircase
2018-01-01 Di Gioacchino, Andrea; Gherardi, Marco; Molinari, Luca Guido; Rotondo, Pietro
Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks
2025-01-01 Baglioni, P.; Giambagli, L.; Vezzani, A.; Burioni, R.; Rotondo, P.; Pacelli, R.
Large deviations of the free energy in the p-spin glass spherical model
2019-01-01 Pastore, Mauro; Di Gioacchino, Andrea; Rotondo, Pietro
Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks
2025-01-01 Aiudi, R.; Pacelli, R.; Baglioni, P.; Vezzani, A.; Burioni, R.; Rotondo, P.
Measuring logic complexity can guide pattern discovery in empirical systems
2016-01-01 Gherardi, M.; Rotondo, P.
Open quantum generalisation of Hopfield neural networks
2018-01-01 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
2024-01-01 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
2019-01-01 Fiorelli, E; Rotondo, P; Marcuzzi, M; J. P., Garrahan; Lesanovsky, I