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Clément Hongler
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2020 – today
- 2024
- [j1]Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano:
Smart Proofs via Recursive Information Gathering: Decentralized Refereeing by Smart Contracts. Distributed Ledger Technol. Res. Pract. 3(1): 2:1-2:19 (2024) - [c10]Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler:
Looking for Complexity at Phase Boundaries in Continuous Cellular Automata. GECCO Companion 2024: 179-182 - [c9]Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler:
Arrows of Time for Large Language Models. ICML 2024 - [i12]Vassilis Papadopoulos, Jérémie Wenger, Clément Hongler:
Arrows of Time for Large Language Models. CoRR abs/2401.17505 (2024) - [i11]Vassilis Papadopoulos, Guilhem Doat, Arthur Renard, Clément Hongler:
Looking for Complexity at Phase Boundaries in Continuous Cellular Automata. CoRR abs/2402.17848 (2024) - 2022
- [c8]Arthur Jacot, Franck Gabriel, François Ged, Clément Hongler:
Freeze and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts. MSML 2022: 257-270 - [c7]Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel:
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity. NeurIPS 2022 - [i10]Arthur Jacot, Eugene Golikov, Clément Hongler, Franck Gabriel:
Feature Learning in L2-regularized DNNs: Attraction/Repulsion and Sparsity. CoRR abs/2205.15809 (2022) - 2021
- [c6]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: 9722-9732 - [c5]Arthur Jacot, Franck Gabriel, Clément Hongler:
Neural tangent kernel: convergence and generalization in neural networks (invited paper). STOC 2021: 6 - [i9]Sylvain Carré, Franck Gabriel, Clément Hongler, Gustavo Lacerda, Gloria Capano:
Smart Proofs via Smart Contracts: Succinct and Informative Mathematical Derivations via Decentralized Markets. CoRR abs/2102.03044 (2021) - [i8]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 abs/2105.12221 (2021) - [i7]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 abs/2106.15933 (2021) - 2020
- [c4]Arthur Jacot, Franck Gabriel, Clément Hongler:
The asymptotic spectrum of the Hessian of DNN throughout training. ICLR 2020 - [c3]Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel:
Implicit Regularization of Random Feature Models. ICML 2020: 4631-4640 - [c2]Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel:
Kernel Alignment Risk Estimator: Risk Prediction from Training Data. NeurIPS 2020 - [i6]Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel:
Implicit Regularization of Random Feature Models. CoRR abs/2002.08404 (2020) - [i5]Arthur Jacot, Berfin Simsek, Francesco Spadaro, Clément Hongler, Franck Gabriel:
Kernel Alignment Risk Estimator: Risk Prediction from Training Data. CoRR abs/2006.09796 (2020)
2010 – 2019
- 2019
- [i4]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 abs/1901.01608 (2019) - [i3]Arthur Jacot, Franck Gabriel, Clément Hongler:
Freeze and Chaos for DNNs: an NTK view of Batch Normalization, Checkerboard and Boundary Effects. CoRR abs/1907.05715 (2019) - [i2]Arthur Jacot, Franck Gabriel, Clément Hongler:
The asymptotic spectrum of the Hessian of DNN throughout training. CoRR abs/1910.02875 (2019) - 2018
- [c1]Arthur Jacot, Clément Hongler, Franck Gabriel:
Neural Tangent Kernel: Convergence and Generalization in Neural Networks. NeurIPS 2018: 8580-8589 - [i1]Arthur Jacot, Franck Gabriel, Clément Hongler:
Neural Tangent Kernel: Convergence and Generalization in Neural Networks. CoRR abs/1806.07572 (2018)
Coauthor Index
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last updated on 2024-10-23 21:25 CEST by the dblp team
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