20 citations
- Électricité de France (France)FR24 papers
- Laboratoire de Mathématiques d'OrsayFR4 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR4 papers
- Laboratoire de Probabilités, Statistique et ModélisationFR4 papers
- Université de LilleFR4 papers
- Institut national de recherche en sciences et technologies du numériqueFR3 papers
- Université Paris-SaclayFR3 papers
- CEA Paris-Saclay - Etablissement de SaclayFR2 papers
- CELESTE: statistique mathématique et apprentissageFR2 papers
- Centre de Recherche en Économie et StatistiqueFR2 papers
- Centre de Recherche en InformatiqueFR2 papers
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR2 papers
6 papers · 1 filter
ADF & TransApp: A Transformer-Based Framework for Appliance Detection Using Smart Meter Consumption Series
Adrien Petralia, Philippe Charpentier, Themis Palpanas
Over the past decade, millions of smart meters have been installed by electricity suppliers worldwide, allowing them to collect a large amount of electricity consumption data, albe…
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard +1
Many machine learning tasks can be solved by minimizing a convex function of an occupancy measure over the policies that generate them. These include reinforcement learning, imitat…
An entropy penalized approach for stochastic control problems. Complete version
Thibaut Bourdais, Nadia Oudjane, Francesco Russo
In this paper, we propose an original approach to stochastic control problems. We consider a weak formulation that is written as an optimization (minimization) problem on the space…
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
Rebecca Potts, Rick Hackney, Georgios Leontidis
Predicting emissions for gas turbines is critical for monitoring harmful pollutants being released into the atmosphere. In this study, we evaluate the performance of machine learni…
Forecasting Electric Vehicle Charging Station Occupancy: Smarter Mobility Data Challenge
Yvenn Amara-Ouali, Yannig Goude, Nathan Doumèche +10
The transport sector is a major contributor to greenhouse gas emissions in Europe. Shifting to electric vehicles (EVs) powered by a low-carbon energy mix would reduce carbon emissi…
An algorithmic framework for the optimization of deep neural networks architectures and hyperparameters
Julie Keisler, El-Ghazali Talbi, Sandra Claudel +1
In this paper, we propose an algorithmic framework to automatically generate efficient deep neural networks and optimize their associated hyperparameters. The framework is based on…