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Relativity and Gravitation Group

Dr Alessandro Favero

Physics-AI Fellow

Publications

Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models
G Ortiz-Jimenez, A Favero, P Frossard
(2023)
(link to publication)
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios*
A Favero, F Cagnetta, M Wyart
– Journal of Statistical Mechanics: Theory and Experiment
(2022)
2022,
114012
(doi: 10.1088/1742-5468/ac98ab)
Relative stability toward diffeomorphisms indicates performance in deep nets*
L Petrini, A Favero, M Geiger, M Wyart
– Journal of Statistical Mechanics Theory and Experiment
(2022)
2022,
114013
(doi: 10.1088/1742-5468/ac98ac)
What Can Be Learnt With Wide Convolutional Neural Networks?
F Cagnetta, A Favero, M Wyart
(2022)
(link to publication)
Locality defeats the curse of dimensionality in convolutional teacher-student scenarios
A Favero, F Cagnetta, M Wyart
(2021)
(link to publication)
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Research Group

Relativity and Gravitation

Email

af940@cam.ac.uk

Room

B0.30

Personal homepage

https://alesfav.github.io/

Study at Cambridge

About the University

Research at Cambridge