Cédric Vincent-Cuaz

14 papers A* 3Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
GrapHist: Graph Self-Supervised Learning for Histopathology.
CoRR
Sevda Ögüt, Cédric Vincent-Cuaz, Natalia Dubljevic, Carlos Hurtado, Vaishnavi Subramanian, Pascal Frossard, Dorina Thanou
2025 J jnl
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein.
Trans. Mach. Learn. Res.
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2025 J jnl
Inductive Domain Transfer In Misspecified Simulation-Based Inference.
CoRR
Ortal Yona Senouf, Cédric Vincent-Cuaz, Emmanuel Abbe, Pascal Frossard
2025 — conf
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology.
MICCAI (6)
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, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2025 J jnl
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology.
CoRR
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, Pascal Frossard, Gabriele Campanella, Gunnar Rätsch
2024 J jnl
Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.
CoRR
Hugues Van Assel, Cédric Vincent-Cuaz, Nicolas Courty, Rémi Flamary, Pascal Frossard, Titouan Vayer
2023 J jnl
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.
CoRR
Hugues Van Assel, Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Nicolas Courty
2023 — —
Optimal transport for graph representation learning. (Transport optimal pour l'apprentissage de représentation de graphes).
Cédric Vincent-Cuaz
2022 A* conf
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.
ICLR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022 A* conf
Template based Graph Neural Network with Optimal Transport Distances.
NeurIPS
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2022 J jnl
Template based Graph Neural Network with Optimal Transport Distances.
CoRR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty
2021 A* conf
Online Graph Dictionary Learning.
ICML
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021 J jnl
Online Graph Dictionary Learning.
CoRR
Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty
2021 J jnl
Semi-relaxed Gromov Wasserstein divergence with applications on graphs.
CoRR
Cédric Vincent-Cuaz, Rémi Flamary, Marco Corneli, Titouan Vayer, Nicolas Courty