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Leonardo Petrini
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2020 – today
- 2023
- [j1]Umberto M. Tomasini
, Leonardo Petrini
How deep convolutional neural networks lose spatial information with training. Mach. Learn. Sci. Technol. 4(4): 45026 (2023) - [i7]Leonardo Petrini, Francesco Cagnetta, Umberto M. Tomasini, Alessandro Favero, Matthieu Wyart:
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model. CoRR abs/2307.02129 (2023) - [i6]Leonardo Petrini:
Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations. CoRR abs/2310.16154 (2023) - 2022
- [c2]Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart:
Learning sparse features can lead to overfitting in neural networks. NeurIPS 2022 - [i5]Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart
Learning sparse features can lead to overfitting in neural networks. CoRR abs/2206.12314 (2022) - [i4]Umberto M. Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart:
How deep convolutional neural networks lose spatial information with training. CoRR abs/2210.01506 (2022) - 2021
- [c1]Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart:
Relative stability toward diffeomorphisms indicates performance in deep nets. NeurIPS 2021: 8727-8739 - [i3]Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart:
Relative stability toward diffeomorphisms in deep nets indicates performance. CoRR abs/2105.02468 (2021) - 2020
- [i2]Jonas Paccolat, Leonardo Petrini, Mario Geiger, Kevin Tyloo, Matthieu Wyart:
Compressing invariant manifolds in neural nets. CoRR abs/2007.11471 (2020) - [i1]Mario Geiger, Leonardo Petrini, Matthieu Wyart:
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training. CoRR abs/2012.15110 (2020)
Coauthor Index
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