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
arXiv preprint arXiv:1806.07572, 2018
7132018
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
752020
Implicit regularization of random feature models
A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel
International Conference on Machine Learning, 4631-4640, 2020
182020
Disentangling feature and lazy training in deep neural networks
M Geiger, S Spigler, A Jacot, M Wyart
Journal of Statistical Mechanics: Theory and Experiment 2020 (11), 113301, 2020
142020
Disentangling feature and lazy learning in deep neural networks: an empirical study.
M Geiger, S Spigler, A Jacot, M Wyart
132019
Order and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
A Jacot, F Gabriel, F Ged, C Hongler
arXiv preprint arXiv:1907.05715, 2019
12*2019
The asymptotic spectrum of the hessian of dnn throughout training
A Jacot, F Gabriel, C Hongler
arXiv preprint arXiv:1910.02875, 2019
112019
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
52020
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Articles 1–8