Franck Gabriel

发表

Order and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts

Arthur Jacot, Franck Gabriel, Franccois Ged, 2019 .

Scaling description of generalization with number of parameters in deep learning pdf

Levent Sagun, Matthieu Wyart, Giulio Biroli, 2019, Journal of Statistical Mechanics: Theory and Experiment.

Implicit Regularization of Random Feature Models pdf

Arthur Jacot, Franck Gabriel, Clément Hongler, 2020, ICML.

The asymptotic spectrum of the Hessian of DNN throughout training pdf

Arthur Jacot, Franck Gabriel, Cl'ement Hongler, 2020, ICLR.

Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects pdf

Arthur Jacot, Franck Gabriel, Cl'ement Hongler, 2019, ArXiv.

Kernel Alignment Risk Estimator: Risk Prediction from Training Data pdf

Arthur Jacot, Franck Gabriel, Cl'ement Hongler, 2020, NeurIPS.

Neural tangent kernel: convergence and generalization in neural networks (invited paper)

Arthur Jacot, Franck Gabriel, Cl'ement Hongler, 2018, NeurIPS.

Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets pdf

Gustavo Lacerda, Franck Gabriel, Cl'ement Hongler, 2021, ArXiv.

Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization pdf

Arthur Jacot, Franck Gabriel, Franccois Ged, 2021, ArXiv.

Freeness over the diagonal for large random matrices

Franck Gabriel, Camille Male, Antoine Dahlqvist, 2021 .

Large permutation invariant random matrices are asymptotically free over the diagonal

Franck Gabriel, Camille Male, Antoine Dahlqvist, 2018 .

Combinatorial theory of permutation-invariant random matrices II: cumulants, freeness and Levy processes

Franck Gabriel, 2015 .