Clément Hongler

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Sparsity Inducing

Tangent Distance

Top Venues

Publications

Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler
Arrows of Time for Large Language Models. CoRR (2024)
Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel
-regularized DNNs: Attraction/Repulsion and Sparsity. CoRR (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)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. 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)
Berfin Simsek, François Ged, Arthur Jacot, Francesco Spadaro, Clément Hongler, Wulfram Gerstner, Johanni Brea
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances. ICML (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)