Publications

2025

AutoML Algorithms for Online Generalized Additive Model Selection: Application to Electricity Demand Forecasting.
Keshav Das, Julie Keisler, Amaury Durand, Margaux Brégère.
AutoML25, ABCD Track.
Preprint | Code | Open Review

WindDragon: automated deep learning for regional wind power forecasting.
Julie Keisler, Etienne Le Naour.
Environmental Data Science.
Paper

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.
Paper | Code | Open Review

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