322 citations
- Centre National de la Recherche ScientifiqueFR118 papers
- IMT AtlantiqueFR96 papers
- Laboratoire de Mathématiques de Bretagne AtlantiqueFR89 papers
- Laboratoire des Sciences et Techniques de l’Information de la Communication et de la ConnaissanceFR84 papers
- Université de Bretagne SudFR78 papers
- InsermFR29 papers
- Laboratoire de Traitement de l'Information MédicaleFR24 papers
- Université Grenoble AlpesFR24 papers
- Université Paris-SaclayFR16 papers
- École nationale supérieure de techniques avancées BretagneFR15 papers
- Centre Hospitalier Régional Universitaire de BrestFR14 papers
- IfremerFR14 papers
6 papers · 2 filters
Federated learning compression designed for lightweight communications
Lucas Grativol Ribeiro, Mathieu Leonardon, Guillaume Muller +2
Federated Learning (FL) is a promising distributed method for edge-level machine learning, particularly for privacysensitive applications such as those in military and medical doma…
OceanBench: The Sea Surface Height Edition
J. Emmanuel Johnson, Quentin Febvre, Anastasia Gorbunova +4
The ocean profoundly influences human activities and plays a critical role in climate regulation. Our understanding has improved over the last decades with the advent of satellite…
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
Open-ended learning benefits immensely from the use of symbolic methods for goal representation as they offer ways to structure knowledge for efficient and transferable learning. H…
Neural Koopman prior for data assimilation
Anthony Frion, Lucas Drumetz, Mauro Dalla Mura +2
With the increasing availability of large scale datasets, computational power and tools like automatic differentiation and expressive neural network architectures, sequential data…
A multiscale and multicriteria Generative Adversarial Network to synthesize 1-dimensional turbulent fields
Carlos Granero-Belinchon, Manuel Cabeza Gallucci
This article introduces a new Neural Network stochastic model to generate a 1-dimensional stochastic field with turbulent velocity statistics. Both the model architecture and train…
Scale-aware neural calibration for wide swath altimetry observations
Quentin Febvre, Clément Ubelmann, Julien Le Sommer +1
Sea surface height (SSH) is a key geophysical parameter for monitoring and studying meso-scale surface ocean dynamics. For several decades, the mapping of SSH products at regional…