| Open quantum generalisation of Hopfield neural networks P Rotondo, M Marcuzzi, JP Garrahan, I Lesanovsky, M Müller Journal of Physics A: Mathematical and Theoretical 51 (11), 115301, 2018 | 66 | 2018 |
| Dicke simulators with emergent collective quantum computational abilities P Rotondo, M Cosentino Lagomarsino, G Viola Physical review letters 114 (14), 143601, 2015 | 60 | 2015 |
| A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit R Pacelli, S Ariosto, M Pastore, F Ginelli, M Gherardi, P Rotondo Nature Machine Intelligence 5 (12), 1497-1507, 2023 | 55* | 2023 |
| Intrinsic dimension estimation for locally undersampled data V Erba, M Gherardi, P Rotondo Scientific reports 9 (1), 17133, 2019 | 43 | 2019 |
| Signatures of associative memory behavior in a multimode Dicke model E Fiorelli, M Marcuzzi, P Rotondo, F Carollo, I Lesanovsky Physical Review Letters 125 (7), 070604, 2020 | 33 | 2020 |
| Replica symmetry breaking in cold atoms and spin glasses P Rotondo, E Tesio, S Caracciolo Physical Review B 91 (1), 014415, 2015 | 30 | 2015 |
| Devil’s staircase phase diagram of the fractional quantum Hall effect in the thin-torus limit P Rotondo, LG Molinari, P Ratti, M Gherardi Physical Review Letters 116 (25), 256803, 2016 | 26 | 2016 |
| Statistical learning theory of structured data M Pastore, P Rotondo, V Erba, M Gherardi Physical Review E 102 (3), 032119, 2020 | 25 | 2020 |
| Counting the learnable functions of geometrically structured data P Rotondo, MC Lagomarsino, M Gherardi Physical Review Research 2 (2), 023169, 2020 | 25 | 2020 |
| Measuring logic complexity can guide pattern discovery in empirical systems M Gherardi, P Rotondo Complexity 21 (S2), 397-408, 2016 | 21 | 2016 |
| Beyond the storage capacity: data-driven satisfiability transition P Rotondo, M Pastore, M Gherardi Physical Review Letters 125 (12), 120601, 2020 | 20 | 2020 |
| Random geometric graphs in high dimension V Erba, S Ariosto, M Gherardi, P Rotondo Physical Review E 102 (1), 012306, 2020 | 20 | 2020 |
| Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks R Aiudi, R Pacelli, P Baglioni, A Vezzani, R Burioni, P Rotondo Nature Communications 16 (1), 568, 2025 | 16 | 2025 |
| Generalization from correlated sets of patterns in the perceptron F Borra, MC Lagomarsino, P Rotondo, M Gherardi Journal of Physics A: Mathematical and Theoretical 52 (38), 384004, 2019 | 14 | 2019 |
| Self-induced glassy phase in multimodal cavity quantum electrodynamics V Erba, M Pastore, P Rotondo Physical Review Letters 126 (18), 183601, 2021 | 13 | 2021 |
| Quantum accelerated approach to the thermal state of classical all-to-all connected spin systems with applications to pattern retrieval in the Hopfield neural network E Fiorelli, P Rotondo, M Marcuzzi, JP Garrahan, I Lesanovsky Physical Review A 99 (3), 032126, 2019 | 12 | 2019 |
| Predictive power of a bayesian effective action for fully connected one hidden layer neural networks in the proportional limit P Baglioni, R Pacelli, R Aiudi, F Di Renzo, A Vezzani, R Burioni, ... Physical Review Letters 133 (2), 027301, 2024 | 11 | 2024 |
| Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization S Ciceri, L Cassani, M Osella, P Rotondo, F Valle, M Gherardi Nature Machine Intelligence 6 (1), 40-47, 2024 | 8 | 2024 |
| Large deviations of the free energy in the -spin glass spherical model M Pastore, A Di Gioacchino, P Rotondo Physical Review Research 1 (3), 033116, 2019 | 8 | 2019 |
| Singularities in large deviations of work in quantum quenches P Rotondo, J Minář, JP Garrahan, I Lesanovsky, M Marcuzzi Physical Review B 98 (18), 184303, 2018 | 7 | 2018 |
Marco GherardiUniversità degli Studi di MilanoVerified email at mi.infn.it
