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Gabriele Perugini
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2020 – today
- 2024
- [i10]Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri:
Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR abs/2407.05658 (2024) - 2023
- [i9]Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta:
The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR abs/2303.16880 (2023) - [i8]Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina:
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR abs/2304.13871 (2023) - [i7]Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti:
The star-shaped space of solutions of the spherical negative perceptron. CoRR abs/2305.10623 (2023) - 2022
- [j1]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. 3(3): 35005 (2022) - [c2]Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina:
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. ICML 2022: 17759-17781 - [i6]Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina:
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. CoRR abs/2202.03038 (2022) - 2021
- [c1]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. ICLR 2021 - [i5]Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina:
Unveiling the structure of wide flat minima in neural networks. CoRR abs/2107.01163 (2021) - [i4]Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina:
Learning through atypical "phase transitions" in overparameterized neural networks. CoRR abs/2110.00683 (2021) - [i3]Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina:
Deep learning via message passing algorithms based on belief propagation. CoRR abs/2110.14583 (2021) - 2020
- [i2]Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina:
Entropic gradient descent algorithms and wide flat minima. CoRR abs/2006.07897 (2020)
2010 – 2019
- 2017
- [i1]Gabriele Perugini, Federico Ricci-Tersenghi:
An improved Belief Propagation algorithm finds many Bethe states in the random field Ising model on random graphs. CoRR abs/1710.05396 (2017)
Coauthor Index
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