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Baptiste Goujaud
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2020 – today
- 2024
- [c6]Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut:
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. AISTATS 2024: 3853-3861 - 2023
- [j1]Baptiste Goujaud
, Aymeric Dieuleveut, Adrien B. Taylor:
Counter-Examples in First-Order Optimization: A Constructive Approach. IEEE Control. Syst. Lett. 7: 2485-2490 (2023) - [c5]Baptiste Goujaud, Aymeric Dieuleveut, Adrien B. Taylor:
On Fundamental Proof Structures in First-Order Optimization. CDC 2023: 3023-3030 - [i4]Damien Ferbach, Baptiste Goujaud, Gauthier Gidel, Aymeric Dieuleveut:
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport. CoRR abs/2310.19103 (2023) - 2022
- [c4]Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa:
Super-Acceleration with Cyclical Step-sizes. AISTATS 2022: 3028-3065 - [c3]Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas:
Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound. NeurIPS 2022 - [i3]Baptiste Goujaud, Céline Moucer, François Glineur, Julien M. Hendrickx, Adrien B. Taylor, Aymeric Dieuleveut:
PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python. CoRR abs/2201.04040 (2022) - 2021
- [c2]Charles Guille-Escuret, Manuela Girotti, Baptiste Goujaud, Ioannis Mitliagkas:
A Study of Condition Numbers for First-Order Optimization. AISTATS 2021: 1261-1269 - 2020
- [i2]Charles Guille-Escuret, Baptiste Goujaud, Manuela Girotti, Ioannis Mitliagkas:
A Study of Condition Numbers for First-Order Optimization. CoRR abs/2012.05782 (2020)
2010 – 2019
- 2019
- [c1]Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio:
Gradient based sample selection for online continual learning. NeurIPS 2019: 11816-11825 - [i1]Rahaf Aljundi, Min Lin, Baptiste Goujaud, Yoshua Bengio:
Online continual learning with no task boundaries. CoRR abs/1903.08671 (2019)
Coauthor Index
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last updated on 2024-05-14 21:17 CEST by the dblp team
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