Check Google Scholar for the most updated list. * denotes co-first authorship.
- How deep neural networks learn compositional data: The Random Hierarchy ModelarXiv preprint, 2023
- Task arithmetic in the tangent space: Improved editing of pre-trained modelsarXiv preprint, 2023
- What can be learnt with wide convolutional neural networks?ICML, Proceedings of Machine Learning Research, 2023
- Locality defeats the curse of dimensionality in convolutional teacher-student scenariosAdvances in Neural Information Processing Systems, 2021Journal of Statistical Mechanics, Theory and Experiment, 2022
- Relative stability toward diffeomorphisms indicates performance in deep netsAdvances in Neural Information Processing Systems, 2021Journal of Statistical Mechanics, Theory and Experiment, 2022
- Spectral analysis of infinitely wide convolutional neural networksMaster’s Thesis, Sorbonne Université and Politecnico di Torino, 2020