Enrico M. Malatesta

16 papers Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Are Neural Networks Collision Resistant? CoRR Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Are Neural Networks Collision Resistant? IACR Cryptol. ePrint Arch. Marco Benedetti, Andrej Bogdanov, Enrico M. Malatesta, Marc Mézard, Gianmarco Perrupato, Alon Rosen, Nikolaj I. Schwartzbach, Riccardo Zecchina
2025	J	`jnl`	Generalization performance of narrow one-hidden layer networks in the teacher-student setting. CoRR Jean Barbier, Federica Gerace, Alessandro Ingrosso, Clarissa Lauditi, Enrico M. Malatesta, Gibbs Nwemadji, Rodrigo Pérez Ortiz
2024	J	`jnl`	Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks. CoRR Brandon Livio Annesi, Enrico M. Malatesta, Francesco Zamponi
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
2024	J	`jnl`	The twin peaks of learning neural networks. CoRR Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
2024	J	`jnl`	The twin peaks of learning neural networks. Mach. Learn. Sci. Technol. Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
2023	J	`jnl`	High-dimensional manifold of solutions in neural networks: insights from statistical physics. CoRR Enrico M. Malatesta
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
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
2020	J	`jnl`	Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina
2019	J	`jnl`	On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. CoRR Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina