publications
Check Google Scholar for the most updated list. * denotes co-first authorship.
2023
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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
2021
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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
2020
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Spectral analysis of infinitely wide convolutional neural networksMaster’s Thesis, Sorbonne Université and Politecnico di Torino, 2020