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ORCIDEnrico M. Malatesta
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2020 – today
- 2024
[i12]Elizaveta Demyanenko, Christoph Feinauer, Enrico M. Malatesta, Luca Saglietti:
The twin peaks of learning neural networks. CoRR abs/2401.12610 (2024)- [i11]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) - [i10]Brandon Livio Annesi, Enrico M. Malatesta, Francesco Zamponi:
Exact full-RSB SAT/UNSAT transition in infinitely wide two-layer neural networks. CoRR abs/2410.06717 (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) - [i6]Enrico M. Malatesta:
High-dimensional manifold of solutions in neural networks: insights from statistical physics. CoRR abs/2309.09240 (2023) - 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) - 2020
- [i3]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) - [i2]Carlo Baldassi, Enrico M. Malatesta, Matteo Negri, Riccardo Zecchina:
Wide flat minima and optimal generalization in classifying high-dimensional Gaussian mixtures. CoRR abs/2010.14761 (2020)
2010 – 2019
- 2019
- [i1]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 abs/1907.07578 (2019)
Coauthor Index
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