Arthur Jacot
Arthur Jacot
PhD student, EPFL
Verified email at epfl.ch
Title
Cited by
Cited by
Year
Neural tangent kernel: Convergence and generalization in neural networks
A Jacot, F Gabriel, C Hongler
Advances in neural information processing systems, 8571-8580, 2018
4372018
Scaling description of generalization with number of parameters in deep learning
M Geiger, A Jacot, S Spigler, F Gabriel, L Sagun, S d’Ascoli, G Biroli, ...
Journal of Statistical Mechanics: Theory and Experiment 2020 (2), 023401, 2020
452020
Disentangling feature and lazy learning in deep neural networks: an empirical study.
M Geiger, S Spigler, A Jacot, M Wyart
112019
Freeze and chaos for dnns: an NTK view of batch normalization, checkerboard and boundary effects
A Jacot, F Gabriel, C Hongler
arXiv preprint arXiv:1907.05715, 2019
82019
The asymptotic spectrum of the Hessian of DNN throughout training
A Jacot, F Gabriel, C Hongler
arXiv preprint arXiv:1910.02875, 2019
42019
Disentangling feature and lazy training in deep neural networks
M Geiger, S Spigler, A Jacot, M Wyart
arXiv preprint arXiv:1906.08034, 2019
32019
Implicit regularization of random feature models
A Jacot, B Şimşek, F Spadaro, C Hongler, F Gabriel
arXiv preprint arXiv:2002.08404, 2020
22020
Kernel Alignment Risk Estimator: Risk Prediction from Training Data
A Jacot, B Şimşek, F Spadaro, C Hongler, F Gabriel
arXiv preprint arXiv:2006.09796, 2020
2020
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Articles 1–8