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2020 – today
- 2024
[j3]Simone Ciceri, Lorenzo Cassani, Matteo Osella
, Pietro Rotondo, Filippo Valle, Marco Gherardi:
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalization. Nat. Mac. Intell. 6(1): 40-47 (2024)- [i6]Federico Bassetti, Marco Gherardi, Alessandro Ingrosso, Mauro Pastore, Pietro Rotondo:
Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers. CoRR abs/2406.03260 (2024) - 2023
- [j2]R. Pacelli, S. Ariosto, Mauro Pastore, Francesco Ginelli, Marco Gherardi, Pietro Rotondo:
A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit. Nat. Mac. Intell. 5(12): 1497-1507 (2023) - [i5]Simone Ciceri, Lorenzo Cassani, Pierre Pizzochero, Matteo Osella, Pietro Rotondo, Marco Gherardi:
Inversion dynamics of class manifolds in deep learning reveals tradeoffs underlying generalisation. CoRR abs/2303.05161 (2023) - [i4]R. Aiudi, R. Pacelli, Alessandro Vezzani, Raffaella Burioni, Pietro Rotondo:
Local Kernel Renormalization as a mechanism for feature learning in overparametrized Convolutional Neural Networks. CoRR abs/2307.11807 (2023) - 2020
- [i3]Pietro Rotondo, Mauro Pastore, Marco Gherardi:
Beyond the storage capacity: data driven satisfiability transition. CoRR abs/2005.09992 (2020)
2010 – 2019
- 2019
- [i2]Pietro Rotondo, Marco Cosentino Lagomarsino, Marco Gherardi:
Counting the learnable functions of structured data. CoRR abs/1903.12021 (2019) - [i1]Vittorio Erba, Marco Gherardi, Pietro Rotondo:
Intrinsic dimension estimation for locally undersampled data. CoRR abs/1906.07670 (2019) - 2016
- [j1]Marco Gherardi, Pietro Rotondo:
Measuring logic complexity can guide pattern discovery in empirical systems. Complex. 21(S2): 397-408 (2016)
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