PERUGINI, GABRIELE
PERUGINI, GABRIELE
Dipartimento di Scienze della Computazione
Deep learning via message passing algorithms based on belief propagation
2022 Lucibello, Carlo; Pittorino, Fabrizio; Perugini, Gabriele; Zecchina, Riccardo
Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry
2022 Pittorino, Fabrizio; Ferraro, Antonio; Perugini, Gabriele; Feinauer, Christoph; Baldassi, Carlo; Zecchina, Riccardo
Entropic gradient descent algorithms and wide flat minima
2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo
Entropic gradient descent algorithms and wide flat minima
2021 Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo
Learning through atypical phase transitions in overparameterized neural networks
2022 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Pacelli, Rosalba; Perugini, Gabriele; Zecchina, Riccardo
Star-shaped space of solutions of the spherical negative perceptron
2023 Annesi, Brandon Livio; Lauditi, Clarissa; Lucibello, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Pittorino, Fabrizio; Saglietti, Luca
Storage and learning phase transitions in the random-features Hopfield model
2023 Negri, Matteo; Lauditi, Clarissa; Perugini, Gabriele; Lucibello, Carlo; Malatesta, Enrico
Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights
2023 Baldassi, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo
Unveiling the Structure of Wide Flat Minima in Neural Networks
2021 Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Deep learning via message passing algorithms based on belief propagation | 1-gen-2022 | Lucibello, Carlo; Pittorino, Fabrizio; Perugini, Gabriele; Zecchina, Riccardo | MACHINE LEARNING: SCIENCE AND TECHNOLOGY | - |
| Deep networks on toroids: removing symmetries reveals the structure of flat regions in the landscape geometry | 1-gen-2022 | Pittorino, Fabrizio; Ferraro, Antonio; Perugini, Gabriele; Feinauer, Christoph; Baldassi, Carlo; Zecchina, Riccardo | JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT | - |
| Entropic gradient descent algorithms and wide flat minima | 1-gen-2021 | Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo | JOURNAL OF STATISTICAL MECHANICS: THEORY AND EXPERIMENT | - |
| Entropic gradient descent algorithms and wide flat minima | 1-gen-2021 | Pittorino, Fabrizio; Lucibello, Carlo; Feinauer, Christoph; Perugini, Gabriele; Baldassi, Carlo; Demyanenko, Elizaveta; Zecchina, Riccardo | - | (seleziona...) |
| Learning through atypical phase transitions in overparameterized neural networks | 1-gen-2022 | Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M; Pacelli, Rosalba; Perugini, Gabriele; Zecchina, Riccardo | PHYSICAL REVIEW. E | - |
| Star-shaped space of solutions of the spherical negative perceptron | 1-gen-2023 | Annesi, Brandon Livio; Lauditi, Clarissa; Lucibello, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Pittorino, Fabrizio; Saglietti, Luca | PHYSICAL REVIEW LETTERS | - |
| Storage and learning phase transitions in the random-features Hopfield model | 1-gen-2023 | Negri, Matteo; Lauditi, Clarissa; Perugini, Gabriele; Lucibello, Carlo; Malatesta, Enrico | PHYSICAL REVIEW LETTERS | - |
| Typical and atypical solutions in nonconvex neural networks with discrete and continuous weights | 1-gen-2023 | Baldassi, Carlo; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo | PHYSICAL REVIEW. E | - |
| Unveiling the Structure of Wide Flat Minima in Neural Networks | 1-gen-2021 | Baldassi, Carlo; Lauditi, Clarissa; Malatesta, Enrico M.; Perugini, Gabriele; Zecchina, Riccardo | PHYSICAL REVIEW LETTERS | - |