Enrico M. Malatesta

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Discrete Variables

Phase Transition

Top Venues

Publications

Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti
The twin peaks of learning neural networks. CoRR (2024)
Silvio Kalaj, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta, Matteo Negri
Random Features Hopfield Networks generalize retrieval to previously unseen examples. CoRR (2024)
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 (2023)
Carlo Baldassi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. CoRR (2023)
Enrico M. Malatesta
High-dimensional manifold of solutions in neural networks: insights from statistical physics. CoRR (2023)
Matteo Negri, Clarissa Lauditi, Gabriele Perugini, Carlo Lucibello, Enrico M. Malatesta
The Hidden-Manifold Hopfield Model and a learning phase transition. CoRR (2023)
Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Gabriele Perugini, Riccardo Zecchina
Unveiling the structure of wide flat minima in neural networks. CoRR (2021)
Carlo Baldassi, Clarissa Lauditi, Enrico M. Malatesta, Rosalba Pacelli, Gabriele Perugini, Riccardo Zecchina
Learning through atypical "phase transitions" in overparameterized neural networks. CoRR (2021)
Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR (2020)
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 (2020)
Carlo Baldassi, Enrico M. Malatesta, Riccardo Zecchina
On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. CoRR (2019)