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Arthur Jacot
Arthur Jacot
Assistant Professor, Courant Institute of Mathematical Sciences, NYU
Verified email at nyu.edu - Homepage
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 31, 2018
18392018
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
1512020
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
72*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
552020
Kernel alignment risk estimator: Risk prediction from training data
A Jacot, B Simsek, F Spadaro, C Hongler, F Gabriel
Advances in Neural Information Processing Systems 33, 15568-15578, 2020
322020
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
A Jacot, F Gabriel, F Ged, C Hongler
Mathematical and Scientific Machine Learning, 257-270, 2022
24*2022
The asymptotic spectrum of the hessian of dnn throughout training
A Jacot, F Gabriel, C Hongler
arXiv preprint arXiv:1910.02875, 2019
212019
Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances
B Simsek, F Ged, A Jacot, F Spadaro, C Hongler, W Gerstner, J Brea
International Conference on Machine Learning, 9722-9732, 2021
182021
Saddle-to-Saddle Dynamics in Deep Linear Networks: Small Initialization Training, Symmetry, and Sparsity
A Jacot, F Ged, B Şimşek, C Hongler, F Gabriel
arXiv preprint arXiv:2106.15933, 2021
13*2021
DNN-based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel
B Dupuis, A Jacot
Advances in Neural Information Processing Systems 34, 27659-27669, 2021
32021
Feature Learning in -regularized DNNs: Attraction/Repulsion and Sparsity
A Jacot, E Golikov, C Hongler, F Gabriel
arXiv preprint arXiv:2205.15809, 2022
12022
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis
Y Dandi, A Jacot
arXiv preprint arXiv:2111.03972, 2021
12021
Implicit Bias of Large Depth Networks: a Notion of Rank for Nonlinear Functions
A Jacot
arXiv preprint arXiv:2209.15055, 2022
2022
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Articles 1–13