Talks and presentations

2024

Automated Deep Learning for load forecasting
Conference, 09.2024
AutoML2024, Jussieu, Paris.

Mutant-UCB: entre bandits et algorithme évolutionnaire, une approche pour la sélection de modèles
Conference, 05.2024
55es Journées de Statistique de la SFdS, Université de Bordeaux, Bordeaux.

Automated Deep Learning for load forecasting
Workshop, 16.05.2024
Workshop series on applied Machine Learning in Energy and Climate Science, online.
Slides

WindDragon: Enhancing wind power forecasting with Automated Deep Learning
Workshop, 11.05.2024
Tackling Climate Change with Machine Learning, ICLR 2024, Wien.

WindDragon: Enhancing wind power forecasting with Automated Deep Learning
Seminar, 13.02.2024
ARCHES Seminar, Inria Paris, Paris.

2023

Optimizing Deep Neural Networks Architectures and Hyperparemeters using bandits algorithms.
Seminar, 27.11.2023
SCOOL Seminar, Inria Nord Europe, Lille.

Short-term load forecasting using optimized Deep Neural Networks.
Workshop, 13.09.2023
ConfStochStatML, Wolfgang Pauli Institute, Wien.
Abstract | Slides

Algorithme de bandits pour l’optimisation des hyperparametres de réseaux de neurones.
Conference, 03.07.2023
54es Journées de Statistique de la SFdS, Unviersité libre de Bruxelles, Belgique.
Paper

2022

Evolving directed acyclic graphs for Automated Deep Learning: application to short-term load forecasting.
Conference, 29.11.2022
PGMO Days, EDF Lab Paris-Saclay.
Abstract

Deep Transformers Optimization for load forecasting.
Conference, 19.07.2022
OLA’2023, Syracuse.
Paper