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

Semi-relaxed Gromov Wasserstein divergence with applications on graphs. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (CoRR, 2021)

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (ICLR, 2022)

Template based Graph Neural Network with Optimal Transport Distances. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (NeurIPS, 2022)

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. - Hugues Van Assel; Cédric Vincent-Cuaz; Titouan Vayer; Rémi Flamary; Nicolas Courty (CoRR, 2023)

Optimal transport for graph representation learning. (Transport optimal pour l'apprentissage de représentation de graphes). - Cédric Vincent-Cuaz (2023)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. - Hugues Van Assel; Cédric Vincent-Cuaz; Nicolas Courty; Rémi Flamary; Pascal Frossard; Titouan Vayer (CoRR, 2024)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. - Hugues Van Assel; Cédric Vincent-Cuaz; Nicolas Courty; Rémi Flamary; Pascal Frossard; Titouan Vayer (Trans. Mach. Learn. Res., 2025)

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. - Boqi Chen; Cédric Vincent-Cuaz; Lydia A. Schoenpflug; Manuel Madeira; Lisa Fournier; Vaishnavi Subramanian; Sonali Andani; Samuel Ruipérez-Campillo; Julia E. Vogt; Raphaëlle Luisier; Dorina Thanou; Viktor H. Koelzer; et al. (CoRR, 2025)

Inductive Domain Transfer In Misspecified Simulation-Based Inference. - Ortal Yona Senouf; Cédric Vincent-Cuaz; Emmanuel Abbe; Pascal Frossard (CoRR, 2025)