Alessandro Favero

According to our database, Alessandro Favero authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging.

Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jiménez, François Fleuret, Pascal Frossard

CoRR, 2024

Probing the Latent Hierarchical Structure of Data via Diffusion Models.

Antonio Sclocchi, Alessandro Favero, Noam Itzhak Levi, Matthieu Wyart

CoRR, 2024

A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data.

Antonio Sclocchi, Alessandro Favero, Matthieu Wyart

CoRR, 2024

Multi-Modal Hallucination Control by Visual Information Grounding.

Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, Pramuditha Perera, Alessandro Achille, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

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.

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?

Francesco Cagnetta, Alessandro Favero, Matthieu Wyart

Proceedings of the International Conference on Machine Learning, 2023

2022

How Wide Convolutional Neural Networks Learn Hierarchical Tasks.

Francesco Cagnetta, Alessandro Favero, Matthieu Wyart

CoRR, 2022

2021

Relative stability toward diffeomorphisms in deep nets indicates performance.

Leonardo Petrini, Alessandro Favero, Mario Geiger, Matthieu Wyart

CoRR, 2021

Relative stability toward diffeomorphisms indicates performance in deep nets.

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.

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