Interpretable time series neural representation for classification purposes. - Etienne Le Naour; Ghislain Agoua; Nicolas Baskiotis; Vincent Guigue (DSAA, 2023)

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields. - Louis Serrano; Thomas X. Wang; Etienne Le Naour; Jean-Noël Vittaut; Patrick Gallinari (NeurIPS, 2024)

WindDragon: Enhancing wind power forecasting with Automated Deep Learning. - Julie Keisler; Etienne Le Naour (CoRR, 2024)

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations. - Etienne Le Naour; Louis Serrano; Léon Migus; Yuan Yin; Ghislain Agoua; Nicolas Baskiotis; Patrick Gallinari; Vincent Guigue (Trans. Mach. Learn. Res., 2024)

Learning neural representation for time series. (Apprentissage de représentations neuronales pour les séries temporelles). - Etienne Le Naour (2024)

MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling. - Etienne Le Naour; Tahar Nabil; Ghislain Agoua (CoRR, 2025)