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Leonardo Petrini
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 10
Top Topics
Deep Learning
Neural Network
Color Histogram
Spatial Information
Top Venues
CoRR
NeurIPS
Mach. Learn. Sci. Technol.
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Publications
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Umberto M. Tomasini
,
Leonardo Petrini
,
Francesco Cagnetta
,
Matthieu Wyart
How deep convolutional neural networks lose spatial information with training.
Mach. Learn. Sci. Technol.
4 (4) (2023)
Leonardo Petrini
,
Francesco Cagnetta
,
Umberto M. Tomasini
,
Alessandro Favero
,
Matthieu Wyart
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.
CoRR
(2023)
Leonardo Petrini
Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations.
CoRR
(2023)
Umberto M. Tomasini
,
Leonardo Petrini
,
Francesco Cagnetta
,
Matthieu Wyart
How deep convolutional neural networks lose spatial information with training.
CoRR
(2022)
Leonardo Petrini
,
Francesco Cagnetta
,
Eric Vanden-Eijnden
,
Matthieu Wyart
Learning sparse features can lead to overfitting in neural networks.
NeurIPS
(2022)
Leonardo Petrini
,
Francesco Cagnetta
,
Eric Vanden-Eijnden
,
Matthieu Wyart
Learning sparse features can lead to overfitting in neural networks.
CoRR
(2022)
Leonardo Petrini
,
Alessandro Favero
,
Mario Geiger
,
Matthieu Wyart
Relative stability toward diffeomorphisms in deep nets indicates performance.
CoRR
(2021)
Leonardo Petrini
,
Alessandro Favero
,
Mario Geiger
,
Matthieu Wyart
Relative stability toward diffeomorphisms indicates performance in deep nets.
NeurIPS
(2021)
Jonas Paccolat
,
Leonardo Petrini
,
Mario Geiger
,
Kevin Tyloo
,
Matthieu Wyart
Compressing invariant manifolds in neural nets.
CoRR
(2020)
Mario Geiger
,
Leonardo Petrini
,
Matthieu Wyart
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training.
CoRR
(2020)