Alessandro Favero

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Hierarchical Reinforcement Learning

Convolutional Neural Networks

Visual Information

Phase Transition

Top Venues

Publications

Antonio Sclocchi, Alessandro Favero, Matthieu Wyart
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data. CoRR (2024)
Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto
Multi-Modal Hallucination Control by Visual Information Grounding. CoRR (2024)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. CoRR (2023)
Francesco Cagnetta, Alessandro Favero, Matthieu Wyart
What Can Be Learnt With Wide Convolutional Neural Networks? ICML (2023)
Guillermo Ortiz-Jiménez, Alessandro Favero, Pascal Frossard
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models. NeurIPS (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)
Francesco Cagnetta, Alessandro Favero, Matthieu Wyart
How Wide Convolutional Neural Networks Learn Hierarchical Tasks. CoRR (2022)
Alessandro Favero, Francesco Cagnetta, Matthieu Wyart
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios. CoRR (2021)
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)
Alessandro Favero, Francesco Cagnetta, Matthieu Wyart
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios. NeurIPS (2021)