publications

2024

1. CVPR

   

   Multi-modal hallucination control by visual information grounding

   Alessandro Favero, Luca Zancato, Matthew Trager, Siddharth Choudhary, and 4 more authors

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

   PDF
2. arXiv

   

   A phase transition in diffusion models reveals the hierarchical nature of data

   Antonio Sclocchi, Alessandro Favero, and Matthieu Wyart

   arXiv preprint, 2024

   PDF
3. PhysRevX

   

   How deep neural networks learn compositional data: The Random Hierarchy Model

   Francesco Cagnetta, Leonardo Petrini, Umberto Tomasini, Alessandro Favero, and 1 more author

   Physical Review X, 2024

   PDF

2023

1. NeurIPS

   

   Task arithmetic in the tangent space: Improved editing of pre-trained models

   Guillermo Ortiz-Jimenez^*, Alessandro Favero^*, and Pascal Frossard

   Advances in Neural Information Processing Systems, Oral (top 0.54%) , 2023

   PDF Video
2. ICML

   

   What can be learnt with wide convolutional neural networks?

   Francesco Cagnetta^*, Alessandro Favero^*, and Matthieu Wyart

   International Conference on Machine Learning, PMLR, 2023

   PDF

2021

1. NeurIPS

   

   Locality defeats the curse of dimensionality in convolutional teacher-student scenarios

   Alessandro Favero^*, Francesco Cagnetta^*, and Matthieu Wyart

   Advances in Neural Information Processing Systems, 2021

   PDF
2. NeurIPS

   

   Relative stability toward diffeomorphisms indicates performance in deep nets

   Leonardo Petrini, Alessandro Favero, Mario Geiger, and Matthieu Wyart

   Advances in Neural Information Processing Systems, 2021

   PDF

2020

1. Thesis

   Spectral analysis of infinitely wide convolutional neural networks

   Alessandro Favero

   Master’s Thesis, Sorbonne Université and Politecnico di Torino, 2020

   PDF