Etienne Le Naour

According to our database, Etienne Le Naour authored at least 9 papers between 2023 and 2026.

Collaborative distances:

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

2026

Investigating simple target-covariate relationships for Chronos-2 and TabPFN-TS.

Gaspard Berthelier, Mariia Baranova, Andrei Tiberiu Pantea, Etienne Le Naour, Adrien Petralia, Tahar Nabil, Themis Palpanas

CoRR, May, 2026

On the Role of Reversible Instance Normalization.

Gaspard Berthelier, Tahar Nabil, Etienne Le Naour, Richard Niamke, Samir Perlaza, Giovanni Neglia

CoRR, March, 2026

Are Time-Indexed Foundation Models the Future of Time Series Imputation?

Etienne Le Naour, Tahar Nabil, Adrien Petralia, Ghislain Agoua

Trans. Mach. Learn. Res., 2026

2025

MoTM: Towards a Foundation Model for Time Series Imputation Based on Continuous Modeling.

Etienne Le Naour, Tahar Nabil, Ghislain Agoua

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2025

2024

Learning neural representation for time series. (Apprentissage de représentations neuronales pour les séries temporelles).

Etienne Le Naour

PhD thesis, 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

WindDragon: Enhancing wind power forecasting with Automated Deep Learning.

Julie Keisler, Etienne Le Naour

CoRR, 2024

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Interpretable time series neural representation for classification purposes.

Etienne Le Naour, Ghislain Agoua, Nicolas Baskiotis, Vincent Guigue

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023