Franck Gabriel

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Attraction Repulsion

Tangent Distance

Top Venues

Publications

Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano
Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts. Distributed Ledger Technol. Res. Pract. 3 (1) (2024)
Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel
-regularized DNNs: Attraction/Repulsion and Sparsity. CoRR (2022)
Sylvain Carré, Pierre Collin-Dufresne, Franck Gabriel
Insider trading with penalties. J. Econ. Theory 203 (2022)
Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity. NeurIPS (2022)
Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. MSML (2022)
Arthur Jacot, François Ged, Franck Gabriel, Berfin Simsek, Clément Hongler
Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization. CoRR (2021)
Arthur Jacot, Franck Gabriel, Clément Hongler
Neural tangent kernel: convergence and generalization in neural networks (invited paper). STOC (2021)
Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano
Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. CoRR (2021)
Arthur Jacot, Franck Gabriel, Clément Hongler
The asymptotic spectrum of the Hessian of DNN throughout training. ICLR (2020)
Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
Implicit Regularization of Random Feature Models. CoRR (2020)
Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
Implicit Regularization of Random Feature Models. ICML (2020)
Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
Kernel Alignment Risk Estimator: Risk Prediction from Training Data. CoRR (2020)
Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
Kernel Alignment Risk Estimator: Risk Prediction from Training Data. NeurIPS (2020)
Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli, Giulio Biroli, Clément Hongler, Matthieu Wyart
Scaling description of generalization with number of parameters in deep learning. CoRR (2019)
Arthur Jacot, Franck Gabriel, Clément Hongler
The asymptotic spectrum of the Hessian of DNN throughout training. CoRR (2019)
Arthur Jacot, Franck Gabriel, Clément Hongler
Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. CoRR (2019)
Arthur Jacot, Franck Gabriel, Clément Hongler
Neural Tangent Kernel: Convergence and Generalization in Neural Networks. CoRR (2018)
Arthur Jacot, Clément Hongler, Franck Gabriel
Neural Tangent Kernel: Convergence and Generalization in Neural Networks. NeurIPS (2018)