Arthur Jacot
Arthur Jacot
PhD student, EPFL
Verified email at epfl.ch - Homepage
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
10262018
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
1022020
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
35*2020
Implicit regularization of random feature models
A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel
International Conference on Machine Learning, 4631-4640, 2020
252020
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
19*2019
The asymptotic spectrum of the hessian of dnn throughout training
A Jacot, F Gabriel, C Hongler
arXiv preprint arXiv:1910.02875, 2019
162019
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
102020
DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
B Dupuis, A Jacot
arXiv preprint arXiv:2106.05710, 2021
12021
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
B Şimşek, F Ged, A Jacot, F Spadaro, C Hongler, W Gerstner, J Brea
arXiv preprint arXiv:2105.12221, 2021
12021
Deep linear networks dynamics: Low-rank biases induced by initialization scale and l2 regularization
A Jacot, F Ged, F Gabriel, B Şimşek, C Hongler
arXiv preprint arXiv:2106.15933, 2021
2021
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