208 citations
- M. Ammi7
- Maxime De Bois2 profiles7 · h 1
- Mounîm A. El-Yacoubi6 · h 23
- Joaquín García2 profiles5 · h 24
- Andrea Araldo4 profiles4 · h 6
- R. Douc4 · h 28
- Vincent Gauthier3 profiles4 · h 19
- Yannis Tevissen2 profiles4 · h 3
- Catherine Dubois2 profiles3 · h 15
- Frédéric Petitpont3
- Jérôme Boudy3
- Marius Preda2 profiles3 · h 6
- Institut Polytechnique de ParisFR60 papers
- Centre National de la Recherche ScientifiqueFR23 papers
- Services répartis, Architectures, MOdélisation, Validation, Administration des RéseauxFR16 papers
- Institut Mines-TélécomFR10 papers
- Télécom ParisFR9 papers
- Laboratoire Traitement et Communication de l’InformationFR8 papers
- Université Paris 8FR7 papers
- Université Paris-SaclayFR7 papers
- École Nationale Supérieure d’Informatique pour l’Industrie et l’EntrepriseFR4 papers
- Laboratoire d'Informatique pour la Mécanique et les Sciences de l'IngénieurFR4 papers
- Orange (France)FR3 papers
- American Rock Mechanics AssociationUS2 papers
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2021★ 7 cited
Label-GCN: An Effective Method for Adding Label Propagation to Graph Convolutional Networks
Claudio Bellei, Hussain Alattas, Nesrine Kaaniche
We show that a modification of the first layer of a Graph Convolutional Network (GCN) can be used to effectively propagate label information across neighbor nodes, for binary and m…
cs.LG2021★ 6 cited
Joint self-supervised blind denoising and noise estimation
Jean Ollion, Charles Ollion, Elisabeth Gassiat +2
We propose a novel self-supervised image blind denoising approach in which two neural networks jointly predict the clean signal and infer the noise distribution. Assuming that the…
cs.LG2020★ 4 cited
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Maxime De Bois, Mounîm A. El Yacoubi, Mehdi Ammi
Progress in the biomedical field through the use of deep learning is hindered by the lack of interpretability of the models. In this paper, we study the RETAIN architecture for the…