| Unveiling the structure of wide flat minima in neural networks C Baldassi, C Lauditi, EM Malatesta, G Perugini, R Zecchina Physical Review Letters 127 (27), 278301, 2021 | 60 | 2021 |
| Learning through atypical phase transitions in overparameterized neural networks C Baldassi, C Lauditi, EM Malatesta, R Pacelli, G Perugini, R Zecchina Physical Review E 106 (1), 014116, 2022 | 38 | 2022 |
| Star-shaped space of solutions of the spherical negative perceptron BL Annesi, C Lauditi, C Lucibello, EM Malatesta, G Perugini, F Pittorino, ... Physical Review Letters 131 (22), 227301, 2023 | 32 | 2023 |
| Storage and learning phase transitions in the random-features hopfield model M Negri, C Lauditi, G Perugini, C Lucibello, E Malatesta Physical Review Letters 131 (25), 257301, 2023 | 23 | 2023 |
| Random features Hopfield networks generalize retrieval to previously unseen examples S Kalaj, C Lauditi, G Perugini, C Lucibello, EM Malatesta, M Negri Physica A: Statistical Mechanics and its Applications, 130946, 2025 | 13 | 2025 |
| Adaptive kernel predictors from feature-learning infinite limits of neural networks C Lauditi, B Bordelon, C Pehlevan arXiv preprint arXiv:2502.07998, 2025 | 6 | 2025 |
| Impact of dendritic nonlinearities on the computational capabilities of neurons C Lauditi, EM Malatesta, F Pittorino, C Baldassi, N Brunel, R Zecchina PRX Life 3 (3), 033003, 2025 | 4 | 2025 |
| The hidden-manifold hopfield model and a learning phase transition M Negri, C Lauditi, G Perugini, C Lucibello, EM Malatesta CoRR, 2023 | 4 | 2023 |
| Sparse representations, inference and learning C Lauditi, E Troiani, M Mézard Journal of Statistical Mechanics: Theory and Experiment 2024 (10), 104001, 2024 | 3 | 2024 |
| Random Feature Hopfield Networks generalize retrieval to previously unseen examples M Negri, C Lauditi, G Perugini, C Lucibello, EM Malatesta Associative Memory {\&} Hopfield Networks in 2023, 2023 | 2 | 2023 |
| Transfer Learning in Infinite Width Feature Learning Networks C Lauditi, B Bordelon, C Pehlevan arXiv preprint arXiv:2507.04448, 2025 | | 2025 |
| Generalization performance of narrow one-hidden layer networks in the teacher-student setting J Barbier, F Gerace, A Ingrosso, C Lauditi, EM Malatesta, G Nwemadji, ... arXiv preprint arXiv:2507.00629, 2025 | | 2025 |
| Out-of-equilibrium sampling as a protocol to unveil locally-smooth neural network configurations in non-convex optimization C Lauditi Politecnico di Torino, 2024 | | 2024 |
| The Hidden-Manifold Hopfield Model shows storage-to-learning phase transitions and is able to generalize M Negri, E Malatesta, C Lauditi, G Perugini, C Lucibello Bulletin of the American Physical Society, 2023 | | 2023 |
Enrico M. MalatestaAssistant Professor, Bocconi UniversityVerified email at unibocconi.it
