Nathan Doumèche

According to our database, Nathan Doumèche authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Fast kernel methods: Sobolev, physics-informed, and additive models.

Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

CoRR, September, 2025

Physics-informed machine learning: A mathematical framework with applications to time series forecasting.

Nathan Doumèche

CoRR, July, 2025

Forecasting time series with constraints.

Nathan Doumèche, Francis R. Bach, Éloi Bedek, Gérard Biau, Claire Boyer, Yannig Goude

CoRR, February, 2025

Physics-informed Kernel Learning.

Nathan Doumèche, Francis Bach, Gérard Biau, Claire Boyer

J. Mach. Learn. Res., 2025

2024

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge.

Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sébastien Treguer

J. Data-centric Mach. Learn. Res., 2024

Physics-informed machine learning as a kernel method.

Nathan Doumèche, Francis R. Bach, Gérard Biau, Claire Boyer

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge.

Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche, Pascal Veyret, Alexis Thomas, Daniel Hebenstreit, Thomas Wedenig, Arthur Satouf, Aymeric Jan, Yannick Deleuze, Paul Berhaut, Sébastien Treguer, Tiphaine Phe-Neau

CoRR, 2023