Research

PhD Manuscript

Doctoral Thesis

Learning Neural Representations for Time Series

E. Le Naour

Manuscript (HAL) ↗

Preprint

Preprint · 2026

TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning

E. Le Naour*, T. Nabil*, A. Petralia

paper ↗ code ↗

Publications

2026

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

E. Le Naour*, T. Nabil*, A. Petralia, G. Agoua

TMLR paper ↗ code ↗

2025

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

E. Le Naour*, T. Nabil*, G. Agoua

ECML Workshop, AALTD paper ↗ code ↗

2024

AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields

L. Serrano, T.X. Wang, E. Le Naour, J.N. Vittaut, P. Gallinari

NeurIPS paper ↗ code ↗

2024

Time Series Continuous Modeling for Imputation and Forecasting with Implicit Neural Representations

E. Le Naour, L. Serrano, L. Migus, Y. Yin, G. Agoua, N. Baskiotis, P. Gallinari, V. Guigue

TMLR paper ↗ code ↗

2024

WindDragon: Enhancing Wind Power Forecasting with Automated Deep Learning

J. Keisler, E. Le Naour

ICLR Workshop, CCAI paper ↗

2023

Interpretable Time Series Neural Representation for Classification Purposes ★ Best Research Paper

E. Le Naour, G. Agoua, N. Baskiotis, V. Guigue

IEEE DSAA paper ↗ code ↗