Research

PhD Manuscript

Learning Neural Representations for Time Series
E. Le Naour
Manuscript (HAL)

Publications

• Are Time-Indexed Foundation Models the Future of Time Series Imputation?
  E. Le Naour*, T. Nabil*, A. Petralia, G. Agoua
  TMLR, 2026
  paper | code
• MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling
  E. Le Naour*, T. Nabil*, G. Agoua
  ECML Workshop, AALTD, 2025
  paper | code
• 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, 2024
  paper | code
• 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, 2024
  paper | code
• WindDragon: Enhancing Wind Power Forecasting with Automated Deep Learning
  J. Keisler, E. Le Naour
  ICLR Workshop, CCAI, 2024
  paper
• Interpretable Time Series Neural Representation for Classification Purposes — Best Research Paper
  E. Le Naour, G. Agoua, N. Baskiotis, V. Guigue
  IEEE DSAA, 2023
  paper | code