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; et al. (CoRR, 2023)

Physics-informed machine learning as a kernel method. - Nathan Doumèche; Francis R. Bach; Gérard Biau; Claire Boyer (COLT, 2024)

Physics-informed kernel learning. - Nathan Doumèche; Francis R. Bach; Gérard Biau; Claire Boyer (CoRR, 2024)

Forecasting time series with constraints. - Nathan Doumèche; Francis R. Bach; Éloi Bedek; Gérard Biau; Claire Boyer; Yannig Goude (CoRR, 2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting. - Nathan Doumèche (CoRR, 2025)