Ph.D. in Fisica , 36th cycle (2020-2023)
Ph.D. obtained in 2024
Dissertation:
Out-of-equilibrium sampling as a protocol to unveil locally-smooth neural network configurations in non-convex optimization (Abstract)
Tutors:
Riccardo ZecchinaPublications
Works published during the Ph.D. View all publications in Porto@Iris
- Lauditi, Clarissa (2024)
Out-of-equilibrium sampling as a protocol to unveil locally-smooth neural network configurations in non-convex optimization. relatore: ZECCHINA, RICCARDO; , 36. XXXVI Ciclo, P.: 229
Doctoral Thesis - Livio Annesi, Brandon; Lauditi, Clarissa; Lucibello, Carlo; Malatesta, Enrico M.; ... (2023)
Star-shaped space of solutions of the spherical negative perceptron. In: PHYSICAL REVIEW LETTERS, vol. 131. ISSN 1079-7114
Contributo su Rivista - Negri, Matteo; Lauditi, Clarissa; Perugini, Gabriele; Lucibello, Carlo; Malatesta, Enrico (2023)
Storage and Learning phase transitions in the Random-Features Hopfield Model. In: PHYSICAL REVIEW LETTERS, vol. 131. ISSN 1079-7114
Contributo su Rivista - Baldassi, C.; Lauditi, C.; Malatesta, E. M.; Pacelli, R.; Perugini, G.; Zecchina, R. (2022)
Learning through atypical phase transitions in overparameterized neural networks. In: PHYSICAL REVIEW. E, vol. 106. ISSN 2470-0053
Contributo su Rivista - Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Perugini, Gabriele; Zecchina, ... (2021)
Unveiling the Structure of Wide Flat Minima in Neural Networks. In: PHYSICAL REVIEW LETTERS, vol. 127. ISSN 0031-9007
Contributo su Rivista