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Alessandro Favero

According to our database1, Alessandro Favero authored at least 9 papers between 2021 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-Modal Hallucination Control by Visual Information Grounding.
[BibTeX]
[DOI]
Alessandro Favero
,
Luca Zancato
,
Matthew Trager
,
Siddharth Choudhary
,
Pramuditha Perera
,
Alessandro Achille
,
Ashwin Swaminathan
,
Stefano Soatto
CoRR, 2024

A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data.
[BibTeX]
[DOI]
Antonio Sclocchi
,
Alessandro Favero
,
Matthieu Wyart
CoRR, 2024

2023
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model.
[BibTeX]
[DOI]
Leonardo Petrini
,
Francesco Cagnetta
,
Umberto M. Tomasini
,
Alessandro Favero
,
Matthieu Wyart
CoRR, 2023

Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models.
[BibTeX]
[DOI]
Guillermo Ortiz-Jiménez
,
Alessandro Favero
,
Pascal Frossard
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

What Can Be Learnt With Wide Convolutional Neural Networks?
[BibTeX]
[DOI]
Francesco Cagnetta
,
Alessandro Favero
,
Matthieu Wyart
Proceedings of the International Conference on Machine Learning, 2023

2022
How Wide Convolutional Neural Networks Learn Hierarchical Tasks.
[BibTeX]
[DOI]
Francesco Cagnetta
,
Alessandro Favero
,
Matthieu Wyart
CoRR, 2022

2021
Relative stability toward diffeomorphisms in deep nets indicates performance.
[BibTeX]
[DOI]
Leonardo Petrini
,
Alessandro Favero
,
Mario Geiger
,
Matthieu Wyart
CoRR, 2021

Relative stability toward diffeomorphisms indicates performance in deep nets.
[BibTeX]
[DOI]
Leonardo Petrini
,
Alessandro Favero
,
Mario Geiger
,
Matthieu Wyart
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Locality defeats the curse of dimensionality in convolutional teacher-student scenarios.
[BibTeX]
[DOI]
Alessandro Favero
,
Francesco Cagnetta
,
Matthieu Wyart
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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