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ORCIDCédric Vincent-Cuaz
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2020 – today
- 2024
[i5]Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer:
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. CoRR abs/2402.02239 (2024)- 2023
- [b1]Cédric Vincent-Cuaz:
Optimal transport for graph representation learning. (Transport optimal pour l'apprentissage de représentation de graphes). Côte d'Azur University, Nice, France, 2023 - [i4]Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty:
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. CoRR abs/2310.03398 (2023) - 2022
- [c3]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. ICLR 2022 - [c2]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. NeurIPS 2022 - [i3]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Template based Graph Neural Network with Optimal Transport Distances. CoRR abs/2205.15733 (2022) - 2021
- [c1]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. ICML 2021: 10564-10574 - [i2]Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty:
Online Graph Dictionary Learning. CoRR abs/2102.06555 (2021) - [i1]Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty:
Semi-relaxed Gromov Wasserstein divergence with applications on graphs. CoRR abs/2110.02753 (2021)
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