Leonardo Petrini

Orcid: 0000-0003-1517-679X

According to our database1, Leonardo Petrini authored at least 8 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
How deep convolutional neural networks lose spatial information with training.
Mach. Learn. Sci. Technol., December, 2023

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations.
CoRR, 2023

How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.
CoRR, 2023

2022
Learning sparse features can lead to overfitting in neural networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Relative stability toward diffeomorphisms in deep nets indicates performance.
CoRR, 2021

Relative stability toward diffeomorphisms indicates performance in deep nets.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Perspective: A Phase Diagram for Deep Learning unifying Jamming, Feature Learning and Lazy Training.
CoRR, 2020

Compressing invariant manifolds in neural nets.
CoRR, 2020


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