Tahar Nabil

According to our database, Tahar Nabil authored at least 9 papers between 2016 and 2026.

Collaborative distances:

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

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

A synthetic dataset of French electric load curves with temperature conditioning.

Tahar Nabil, Ghislain Agoua, Pierre Cauchois, Anne de Moliner, Benoît Grossin

CoRR, April, 2025

Comparing generative process synthesis approaches with superstructure optimization for the conception of supercritical CO2 Brayton cycles.

Antonio Rocha Azevedo, Tahar Nabil, Valentin Loubière, Romain Privat, Thibaut Neveux, Jean-Marc Commenge

Comput. Chem. Eng., 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

Traitement quantique des langues : état de l'art.

Sabrina Campano, Tahar Nabil, Meryl Bothua

CoRR, 2024

2020

Towards Optimal District Heating Temperature Control in China with Deep Reinforcement Learning.

Adrien Le-Coz, Tahar Nabil, François Courtot

CoRR, 2020

2017

Identification of a thermal building model by learning the dynamics of the solar flux.

Tahar Nabil, François Roueff, Jean-Marc Jicquel, Alexandre Girard

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016

Maximum likelihood estimation of a low-order building model.

Tahar Nabil, Eric Moulines, François Roueff, Jean-Marc Jicquel, Alexandre Girard

Proceedings of the 24th European Signal Processing Conference, 2016