publications

Publications in reversed chronological order. You can also check my Google Scholar profile.

2026

  1. TS-ICL-v1.png
    TS-ICL: A Flexible Time-Indexed Foundation Model for Time Series via In-Context Learning
    Etienne Le Naour*, Tahar Nabil*, and Adrien Petralia
    arXiv preprint arXiv:2606.05878, 2026
    PDF
  2. tsfm_bench.png
    Are Time-Indexed Foundation Models the Future of Time Series Imputation?
    Etienne Le Naour*, Tahar Nabil*, Adrien Petralia, and 1 more author
    Transactions on Machine Learning Research, 2026
    PDF Poster

2025

  1. motm.png
    MoTM: Towards a Foundation Model for Time Series Imputation based on Continuous Modeling
    Etienne Le Naour*, Tahar Nabil*, and Ghislain Agoua
    In ECML / PKDD 2025 Workshop on Advanced Analytics and Learning on Temporal Data, 2025
    PDF Slides
  2. synthetic_data.png
    A synthetic dataset of French electric load curves with temperature conditioning
    Tahar Nabil, Ghislain Agoua, Pierre Cauchois, and 2 more authors
    In ICLR 2025 Workshop on Tackling Climate Change with Machine Learning, 2025
    PDF Slides Poster

2024

  1. sfiles.png
    Representation Learning for Flowsheets: Generating Structures for Process Synthesis
    Antonio Rocha Azevedo, Tahar Nabil, Valentin Loubière, and 4 more authors
    In Book of Abstracts, 2024
    DOI

2023

  1. fceng
    fceng.jpg
    Data-driven structural synthesis of supercritical CO2 power cycles
    Tahar Nabil, Mohamed Noaman, and Tatiana Morosuk
    Frontiers in Chemical Engineering, 2023
    DOI

2022

  1. Generative Approaches for the Synthesis of Process Structures
    Tahar Nabil, Jean-Marc Commenge, and Thibaut Neveux
    In Computer Aided Chemical Engineering, 2022
    DOI

2021

  1. fphys
    Applying the Hubbard-Stratonovich transformation to solve scheduling problems under inequality constraints with quantum annealing
    Sizhuo Yu and Tahar Nabil
    Frontiers in Physics, 2021
    DOI

2020

  1. arXiv
    Towards optimal district heating temperature control in china with deep reinforcement learning
    Adrien Le-Coz, Tahar Nabil, and Francois Courtot
    In NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning, 2020

2019

  1. Machine Learning Based Design of a Supercritical CO2 Concentrating Solar Power Plant
    Tahar Nabil, Yann Le Moullec, and Adrien Le Coz
    In 3rd European supercritical CO2 Conference, 2019
    DOI

2017

  1. Méthode de Monte Carlo à dynamique hamiltonienne pour estimation d’un modèle thermique de bâtiment
    Tahar Nabil, Eric Moulines, Jean-Marc Jicquel, and 2 more authors
    In XXVIe colloque GRETSI, 2017
  2. Identification of a thermal building model by learning the dynamics of the solar flux
    Tahar Nabil, François Roueff, Jean-Marc Jicquel, and 1 more author
    In 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), 2017

2016

  1. Maximum likelihood estimation of a low-order building model
    Tahar Nabil, Eric Moulines, François Roueff, and 2 more authors
    In 2016 24th European Signal Processing Conference (EUSIPCO), 2016