Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Stefano Spigler

How isotropic kernels learn simple invariants


Jun 29, 2020
Jonas Paccolat, Stefano Spigler, Matthieu Wyart


  Access Paper or Ask Questions

Disentangling feature and lazy learning in deep neural networks: an empirical study


Jun 19, 2019
Mario Geiger, Stefano Spigler, Arthur Jacot, Matthieu Wyart


  Access Paper or Ask Questions

Asymptotic learning curves of kernel methods: empirical data v.s. Teacher-Student paradigm


Jun 06, 2019
Stefano Spigler, Mario Geiger, Matthieu Wyart


  Access Paper or Ask Questions

Scaling description of generalization with number of parameters in deep learning


Jan 18, 2019
Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli, Giulio Biroli, Clément Hongler, Matthieu Wyart


  Access Paper or Ask Questions

A jamming transition from under- to over-parametrization affects loss landscape and generalization


Oct 22, 2018
Stefano Spigler, Mario Geiger, Stéphane d'Ascoli, Levent Sagun, Giulio Biroli, Matthieu Wyart

* 11 pages, 6 figures, submitted to NIPS workshop "Integration of Deep Learning Theories". arXiv admin note: substantial text overlap with arXiv:1809.09349 

  Access Paper or Ask Questions

The jamming transition as a paradigm to understand the loss landscape of deep neural networks


Oct 03, 2018
Mario Geiger, Stefano Spigler, Stéphane d'Ascoli, Levent Sagun, Marco Baity-Jesi, Giulio Biroli, Matthieu Wyart


  Access Paper or Ask Questions