Gabriele Perugini

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri
2023	J	`jnl`	The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta
2023	J	`jnl`	The star-shaped space of solutions of the spherical negative perceptron. CoRR Brandon Livio Annesi, Clarissa Lauditi, Carlo Lucibello, Enrico M. Malatesta, Gabriele Perugini, Fabrizio Pittorino, Luca Saglietti
2023	J	`jnl`	Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
2022	A*	`conf`	Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. ICML Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022	J	`jnl`	Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry. CoRR Fabrizio Pittorino, Antonio Ferraro, Gabriele Perugini, Christoph Feinauer, Carlo Baldassi, Riccardo Zecchina
2022	J	`jnl`	Deep learning via message passing algorithms based on belief propagation. Mach. Learn. Sci. Technol. Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021	J	`jnl`	Deep learning via message passing algorithms based on belief propagation. CoRR Carlo Lucibello, Fabrizio Pittorino, Gabriele Perugini, Riccardo Zecchina
2021	A*	`conf`	Entropic gradient descent algorithms and wide flat minima. ICLR Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Gabriele Perugini, Carlo Baldassi, Elizaveta Demyanenko, Riccardo Zecchina
2021	J	`jnl`	Learning through atypical "phase transitions" in overparameterized neural networks. CoRR Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina
2021	J	`jnl`	Unveiling the structure of wide flat minima in neural networks. CoRR Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
2020	J	`jnl`	Entropic gradient descent algorithms and wide flat minima. CoRR Fabrizio Pittorino, Carlo Lucibello, Christoph Feinauer, Enrico M. Malatesta, Gabriele Perugini, Carlo Baldassi, Matteo Negri, Elizaveta Demyanenko, Riccardo Zecchina
2017	J	`jnl`	An improved Belief Propagation algorithm finds many Bethe states in the random field Ising model on random graphs. CoRR Gabriele Perugini, Federico Ricci-Tersenghi