ProfessorsProfessors of École Polytechnique Fédérale de LausanneStefano Spigler

Stefano Spigler

École Polytechnique Fédérale de Lausanne

H-index: 8

Europe-Switzerland

About Stefano Spigler

Stefano Spigler, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of Statistical Physics, Avalanches, Jamming Transition, Deep Learning, Kernel methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

How isotropic kernels perform on simple invariants

Asymptotic learning curves of kernel methods: empirical data versus teacher–student paradigm

Scaling description of generalization with number of parameters in deep learning

Stefano Spigler Information

University	École Polytechnique Fédérale de Lausanne
Position	___
Citations(all)	886
Citations(since 2020)	859
Cited By	383
hIndex(all)	8
hIndex(since 2020)	8
i10Index(all)	8
i10Index(since 2020)	8
Email	Access Email
University Profile Page	École Polytechnique Fédérale de Lausanne
Google Scholar	View Google Scholar Profile

Stefano Spigler Skills & Research Interests

Statistical Physics

Avalanches

Jamming Transition

Deep Learning

Kernel methods

Top articles of Stefano Spigler

Title	Journal	Author(s)	Publication Date
How isotropic kernels perform on simple invariants	Machine Learning: Science and Technology	Jonas Paccolat Stefano Spigler Matthieu Wyart	2021/3/2
Asymptotic learning curves of kernel methods: empirical data versus teacher–student paradigm	Journal of Statistical Mechanics: Theory and Experiment	Stefano Spigler Mario Geiger Matthieu Wyart	2020/12/21
Scaling description of generalization with number of parameters in deep learning	Journal of Statistical Mechanics: Theory and Experiment	Mario Geiger Arthur Jacot Stefano Spigler Franck Gabriel Levent Sagun ...	2020/2/4