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Cedric Vincent-Cuaz
Cedric Vincent-Cuaz
Postdoctoral Researcher
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Online graph dictionary learning
C Vincent-Cuaz, T Vayer, R Flamary, M Corneli, N Courty
International conference on machine learning, 10564-10574, 2021
602021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
C Vincent-Cuaz, R Flamary, M Corneli, T Vayer, N Courty
International Conference on Learning Representations, 2021
502021
Template based Graph Neural Network with Optimal Transport Distances
C Vincent-Cuaz, R Flamary, M Corneli, T Vayer, N Courty
Thirty-sixth Conference on Neural Information Processing Systems, 2022
292022
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein
H Van Assel, C Vincent-Cuaz, T Vayer, R Flamary, N Courty
NeurIPS OTML Workshop 2023, 2023
52023
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection
H Van Assel, C Vincent-Cuaz, N Courty, R Flamary, P Frossard, T Vayer
arXiv preprint arXiv:2402.02239, 2024
32024
Optimal transport for graph representation learning
C Vincent-Cuaz
Université Côte d'Azur, 2023
32023
Semi-relaxed Gromov-Wasserstein divergence for graphs classification
C Vincent-Cuaz, R Flamary, M Corneli, T Vayer, N Courty
Colloque GRETSI 2022-XXVIIIème Colloque Francophone de Traitement du Signal …, 2022
22022
TorchDR : Pytorch Dimensionality Reduction toolbox
H Van Assel, N Courty, R Flamary, A Garivier, M Massias, T Vayer, ...
https://doi.org/10.5281/zenodo.1377208, 2024
2024
SEMI-RELAXED GROMOV-WASSERSTEIN
C Vincent-Cuaz, R Flamary, M Corneli, T Vayer, N Courty
arXiv preprint arXiv:2110.02753, 2021
2021
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