| Online graph dictionary learning C Vincent-Cuaz, T Vayer, R Flamary, M Corneli, N Courty International conference on machine learning, 10564-10574, 2021 | 49 | 2021 |
| 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 | 35 | 2021 |
| 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 | 21 | 2022 |
| Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein H Van Assel, C Vincent-Cuaz, T Vayer, R Flamary, N Courty arXiv preprint arXiv:2310.03398, 2023 | 4 | 2023 |
| 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 | 2 | 2022 |
| Optimal transport for graph representation learning C Vincent-Cuaz Université Côte d'Azur, 2023 | 1 | 2023 |
| 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 | | 2024 |
| SEMI-RELAXED GROMOV-WASSERSTEIN C Vincent-Cuaz, R Flamary, M Corneli, T Vayer, N Courty arXiv preprint arXiv:2110.02753, 2021 | | 2021 |
Nicolas CourtyFull Professor, Université Bretagne Sud, laboratoire IRISADirección de correo verificada de univ-ubs.fr
