Vincent-Cuaz, Cédric

6 publications

TMLR 2025 Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer

NeurIPS 2025 Inductive Domain Transfer in Misspecified Simulation-Based Inference Ortal Senouf, Antoine Wehenkel, Cédric Vincent-Cuaz, Emmanuel Abbe, Pascal Frossard

NeurIPSW 2023 Interpolating Between Clustering and Dimensionality Reduction with Gromov-Wasserstein Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty

ICLR 2022 Semi-Relaxed Gromov-Wasserstein Divergence and Applications on Graphs Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

NeurIPS 2022 Template Based Graph Neural Network with Optimal Transport Distances Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty

ICML 2021 Online Graph Dictionary Learning Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty