Neural Tangent Kernel: Convergence and Generalization in Neural Networks. - Arthur Jacot; Clément Hongler; Franck Gabriel (NeurIPS, 2018)

Scaling description of generalization with number of parameters in deep learning. - Mario Geiger; Arthur Jacot; Stefano Spigler; Franck Gabriel; Levent Sagun; Stéphane d'Ascoli; Giulio Biroli; Clément Hongler; Matthieu Wyart (CoRR, 2019)

Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. - Arthur Jacot; Franck Gabriel; Clément Hongler (CoRR, 2019)

The asymptotic spectrum of the Hessian of DNN throughout training. - Arthur Jacot; Franck Gabriel; Clément Hongler (ICLR, 2020)

Implicit Regularization of Random Feature Models. - Arthur Jacot; Berfin Simsek; Francesco Spadaro; Clément Hongler; Franck Gabriel (ICML, 2020)

Kernel Alignment Risk Estimator: Risk Prediction from Training Data. - Arthur Jacot; Berfin Simsek; Francesco Spadaro; Clément Hongler; Franck Gabriel (NeurIPS, 2020)

Neural tangent kernel: convergence and generalization in neural networks (invited paper). - Arthur Jacot; Franck Gabriel; Clément Hongler (STOC, 2021)

Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. - Sylvain Carré; Franck Gabriel; Clément Hongler; Gustavo Lacerda; Gloria Capano (CoRR, 2021)

Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization. - Arthur Jacot; François Ged; Franck Gabriel; Berfin Simsek; Clément Hongler (CoRR, 2021)

Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. - Arthur Jacot; Franck Gabriel; François Ged; Clément Hongler (MSML, 2022)

Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity. - Arthur Jacot; Eugene A. Golikov; Clément Hongler; Franck Gabriel (NeurIPS, 2022)

Feature Learning in L2-regularized DNNs: Attraction/Repulsion and Sparsity. - Arthur Jacot; Eugene A. Golikov; Clément Hongler; Franck Gabriel (CoRR, 2022)

Insider trading with penalties. - Sylvain Carré; Pierre Collin-Dufresne; Franck Gabriel (J. Econ. Theory, 2022)

Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts. - Sylvain Carré; Franck Gabriel; Clément Hongler; Gustavo Lacerda; Gloria Capano (Distributed Ledger Technol. Res. Pract., 2024)

Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study. - Franck Gabriel; François Ged; Maria Han Veiga; Emmanuel Schertzer (CoRR, 2025)