Publications

2024

An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters.
Julie Keisler, El-Ghazali Talbi, Sandra Claudel, Gilles Cabriel.
Journal of Machine Learning Research.
Paper | Code

Automated Deep Learning for Load Forecasting.
Julie Keisler, Sandra Claudel, Gilles Cabriel, Margaux Brégère.
AutoML24, ABCD Track.
Preprint | Code | OpenReview

WindDragon: Enhancing wind power forecasting with Automated Deep Learning.
Julie Keisler, Etienne Le Naour.
Workshop paper at ”Tackling Climate Change with Machine Learning”, ICLR 2024.
Paper

Preprints

Automated Spatio-Temporal Weather Modeling for Load Forecasting.
Julie Keisler, Margaux Brégère.
INREC 2024, Best paper award.
Preprint

A Bandit Approach with Evolutionary Operators for Model Selection.
Margaux Brégère, Julie Keisler.
International Workshop on Resource-Efficient Learning for Knowledge Discovery, KDD 2024.
Preprint