Arthur Jacot
École Polytechnique Fédérale de Lausanne
H-index: 9
Europe-Switzerland
Top articles of Arthur Jacot
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning | arXiv preprint arXiv:2402.08010 | Yuxiao Wen Arthur Jacot | 2024/2/12 |
Bottleneck structure in learned features: Low-dimension vs regularity tradeoff | Advances in Neural Information Processing Systems | Arthur Jacot | 2023/12/15 |
Implicit bias of SGD in -regularized linear DNNs: One-way jumps from high to low rank | arXiv preprint arXiv:2305.16038 | Zihan Wang Arthur Jacot | 2023/5/25 |
Freeze and chaos: Ntk views on dnn normalization, checkerboard and boundary artifacts | Arthur Jacot Franck Gabriel Francois Ged Clement Hongler | 2022/9/14 | |
Feature Learning in -regularized DNNs: Attraction/Repulsion and Sparsity | Advances in Neural Information Processing Systems | Arthur Jacot Eugene Golikov Clément Hongler Franck Gabriel | 2022/12/6 |
Implicit bias of large depth networks: a notion of rank for nonlinear functions | Arthur Jacot | 2022/9/29 | |
DNN-based topology optimisation: Spatial invariance and neural tangent kernel | Advances in Neural Information Processing Systems | Benjamin Dupuis Arthur Jacot | 2021/12/6 |
Understanding Layer-wise Contributions in Deep Neural Networks through Spectral Analysis | arXiv preprint arXiv:2111.03972 | Yatin Dandi Arthur Jacot | 2021/11/6 |
Geometry of the loss landscape in overparameterized neural networks: Symmetries and invariances | Berfin Simsek François Ged Arthur Jacot Francesco Spadaro Clément Hongler | 2021/7/1 | |
Saddle-to-Saddle Dynamics in Deep Linear Networks: Small Initialization Training, Symmetry, and Sparsity | arXiv preprint arXiv:2106.15933 | Arthur Jacot François Ged Berfin Şimşek Clément Hongler Franck Gabriel | 2021/6/30 |
Disentangling feature and lazy training in deep neural networks | Journal of Statistical Mechanics: Theory and Experiment | Mario Geiger Stefano Spigler Arthur Jacot Matthieu Wyart | 2020/11/26 |
Implicit regularization of random feature models | Arthur Jacot Berfin Simsek Francesco Spadaro Clément Hongler Franck Gabriel | 2020/11/21 | |
Scaling description of generalization with number of parameters in deep learning | Journal of Statistical Mechanics: Theory and Experiment | Mario Geiger Arthur Jacot Stefano Spigler Franck Gabriel Levent Sagun | 2020/2/4 |
Kernel alignment risk estimator: Risk prediction from training data | Advances in neural information processing systems | Arthur Jacot Berfin Simsek Francesco Spadaro Clément Hongler Franck Gabriel | 2020 |
Co-Authors
