Franck Gabriel

20 papers A* 6Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cognitive Training for Language Models: Towards General Capabilities via Cross-Entropy Games. CoRR Clément Hongler, Franck Gabriel, Valentin Hartmann, Arthur Renard, Andrew Emil
2025	J	`jnl`	Kernel-Smoothed Scores for Denoising Diffusion: A Bias-Variance Study. CoRR Franck Gabriel, François Ged, Maria Han Veiga, Emmanuel Schertzer
2024	J	`jnl`	Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts. Distributed Ledger Technol. Res. Pract. Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano
2022	A*	`conf`	Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity. NeurIPS Arthur Jacot, Eugene A. Golikov, Clément Hongler, Franck Gabriel
2022	J	`jnl`	Feature Learning in L CoRR Arthur Jacot, Eugene A. Golikov, Clément Hongler, Franck Gabriel
2022	—	`conf`	Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. MSML Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler
2022	J	`jnl`	Insider trading with penalties. J. Econ. Theory Sylvain Carré, Pierre Collin-Dufresne, Franck Gabriel
2021	J	`jnl`	Deep Linear Networks Dynamics: Low-Rank Biases Induced by Initialization Scale and L2 Regularization. CoRR Arthur Jacot, François Ged, Franck Gabriel, Berfin Simsek, Clément Hongler
2021	A*	`conf`	Neural tangent kernel: convergence and generalization in neural networks (invited paper). STOC Arthur Jacot, Franck Gabriel, Clément Hongler
2021	J	`jnl`	Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. CoRR Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano
2020	A*	`conf`	Implicit Regularization of Random Feature Models. ICML Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
2020	J	`jnl`	Implicit Regularization of Random Feature Models. CoRR Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
2020	A*	`conf`	Kernel Alignment Risk Estimator: Risk Prediction from Training Data. NeurIPS Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
2020	J	`jnl`	Kernel Alignment Risk Estimator: Risk Prediction from Training Data. CoRR Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel
2020	A*	`conf`	The asymptotic spectrum of the Hessian of DNN throughout training. ICLR Arthur Jacot, Franck Gabriel, Clément Hongler
2019	J	`jnl`	Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. CoRR Arthur Jacot, Franck Gabriel, Clément Hongler
2019	J	`jnl`	Scaling description of generalization with number of parameters in deep learning. CoRR Mario Geiger, Arthur Jacot, Stefano Spigler, Franck Gabriel, Levent Sagun, Stéphane d'Ascoli, Giulio Biroli, Clément Hongler, Matthieu Wyart
2019	J	`jnl`	The asymptotic spectrum of the Hessian of DNN throughout training. CoRR Arthur Jacot, Franck Gabriel, Clément Hongler
2018	A*	`conf`	Neural Tangent Kernel: Convergence and Generalization in Neural Networks. NeurIPS Arthur Jacot, Clément Hongler, Franck Gabriel
2018	J	`jnl`	Neural Tangent Kernel: Convergence and Generalization in Neural Networks. CoRR Arthur Jacot, Franck Gabriel, Clément Hongler