7 citations
- Laboratoire d'Informatique de GrenobleFR5 papers
- Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et AustralieFR3 papers
- Université Grenoble AlpesFR3 papers
- DATAMOVE: Mouvements de données pour le calcul haute performanceFR2 papers
- Centre National de la Recherche ScientifiqueFR1 paper
- École Normale Supérieure Paris-SaclayFR1 paper
- École Normale Supérieure - PSLFR1 paper
- Électricité de France (France)FR1 paper
- Institut polytechnique de GrenobleFR1 paper
- Premier UniversityBD1 paper
- Université d'Évry Val-d'EssonneFR1 paper
- Université Paris-SaclayFR1 paper
7 papers
Online Covering with Multiple Experts
Enikő Kevi, Kim-Thang Nguyen
Designing online algorithms with machine learning predictions is a recent technique beyond the worst-case paradigm for various practically relevant online problems (scheduling, cac…
One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization
Tuan-Anh Nguyen, Nguyen Kim Thang, Denis Trystram
Decentralized learning has been studied intensively in recent years motivated by its wide applications in the context of federated learning. The majority of previous research focus…
Online Decentralized Frank-Wolfe: From theoretical bound to applications in smart-building
Angan Mitra, Nguyen Kim Thang, Tuan-Anh Nguyen +2
The design of decentralized learning algorithms is important in the fast-growing world in which data are distributed over participants with limited local computation resources and…
Deep Surrogate for Direct Time Fluid Dynamics
Lucas Meyer, Louen Pottier, Alejandro Ribes +1
The ubiquity of fluids in the physical world explains the need to accurately simulate their dynamics for many scientific and engineering applications. Traditionally, well establish…
An elastic framework for ensemble-based large-scale data assimilation
Sebastian Friedemann, Bruno Raffin
Prediction of chaotic systems relies on a floating fusion of sensor data (observations) with a numerical model to decide on a good system trajectory and to compensate nonlinear fee…
Work Stealing Simulator
Mohammed Khatiri, Denis Trystram, Frédéric Wagner
We present in this paper a Work Stealing lightweight PYTHON simulator. Our simulator is used to execute an application (list of tasks with or without dependencies), on a multiple p…