Clément Hongler

According to our database, Clément Hongler authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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., March, 2024

Looking for Complexity at Phase Boundaries in Continuous Cellular Automata.

Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler

CoRR, 2024

Arrows of Time for Large Language Models.

Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler

CoRR, 2024

2022

Feature Learning in L₂-regularized DNNs: Attraction/Repulsion and Sparsity.

Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel

CoRR, 2022

Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity.

Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler

Proceedings of the Mathematical and Scientific Machine Learning, 2022

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

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

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

Arthur Jacot, Franck Gabriel, Clément Hongler

Proceedings of the STOC '21: 53rd Annual ACM SIGACT Symposium on Theory of Computing, 2021

Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances.

Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Kernel Alignment Risk Estimator: Risk Prediction from Training Data.

Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Implicit Regularization of Random Feature Models.

Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel

Proceedings of the 37th International Conference on Machine Learning, 2020

The asymptotic spectrum of the Hessian of DNN throughout training.

Arthur Jacot, Franck Gabriel, Clément Hongler

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

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

Arthur Jacot, Franck Gabriel, Clément Hongler

CoRR, 2019

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

2018

Neural Tangent Kernel: Convergence and Generalization in Neural Networks.

Arthur Jacot, Clément Hongler, Franck Gabriel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018