On the geometry of solutions and on the capacity of multi-layer neural networks with ReLU activations. - Carlo Baldassi; Enrico M. Malatesta; Riccardo Zecchina (CoRR, 2019)

Entropic gradient descent algorithms and wide flat minima. - Fabrizio Pittorino; Carlo Lucibello; Christoph Feinauer; Enrico M. Malatesta; Gabriele Perugini; Carlo Baldassi; Matteo Negri; Elizaveta Demyanenko; Riccardo Zecchina (CoRR, 2020)

Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. - Carlo Baldassi; Enrico M. Malatesta; Matteo Negri; Riccardo Zecchina (CoRR, 2020)

Unveiling the structure of wide flat minima in neural networks. - Carlo Baldassi; Clarissa Lauditi; Enrico M. Malatesta; Gabriele Perugini; Riccardo Zecchina (CoRR, 2021)

Learning through atypical "phase transitions" in overparameterized neural networks. - Carlo Baldassi; Clarissa Lauditi; Enrico M. Malatesta; Rosalba Pacelli; Gabriele Perugini; Riccardo Zecchina (CoRR, 2021)

The Hidden-Manifold Hopfield Model and a learning phase transition. - Matteo Negri; Clarissa Lauditi; Gabriele Perugini; Carlo Lucibello; Enrico M. Malatesta (CoRR, 2023)

Typical and atypical solutions in non-convex neural networks with discrete and continuous weights. - Carlo Baldassi; Enrico M. Malatesta; Gabriele Perugini; Riccardo Zecchina (CoRR, 2023)

The star-shaped space of solutions of the spherical negative perceptron. - Brandon Livio Annesi; Clarissa Lauditi; Carlo Lucibello; Enrico M. Malatesta; Gabriele Perugini; Fabrizio Pittorino; Luca Saglietti (CoRR, 2023)

High-dimensional manifold of solutions in neural networks: insights from statistical physics. - Enrico M. Malatesta (CoRR, 2023)

The twin peaks of learning neural networks. - Elizaveta Demyanenko; Christoph Feinauer; Enrico M. Malatesta; Luca Saglietti (CoRR, 2024)

Random Features Hopfield Networks generalize retrieval to previously unseen examples. - Silvio Kalaj; Clarissa Lauditi; Gabriele Perugini; Carlo Lucibello; Enrico M. Malatesta; Matteo Negri (CoRR, 2024)

Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks. - Brandon Livio Annesi; Enrico M. Malatesta; Francesco Zamponi (CoRR, 2024)

Generalization performance of narrow one-hidden layer networks in the teacher-student setting. - Jean Barbier; Federica Gerace; Alessandro Ingrosso; Clarissa Lauditi; Enrico M. Malatesta; Gibbs Nwemadji; Rodrigo Pérez Ortiz (CoRR, 2025)