Co-occurring keywords · papers mentioning both
Papers
A Novel Sliced Fused Gromov-Wasserstein Distance
AAAI 2026
Conformal Graph Prediction with Z-Gromov Wasserstein Distances
UAI 2026
Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance
CVPR 2026
ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization
AAAI 2026
Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport
AISTATS 2025
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR
Interspeech 2025
Formation Shape Control using the Gromov-Wasserstein Metric
L4DC 2025
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
AAAI 2025
Linear Partial Gromov-Wasserstein Embedding
ICLR 2025
Partial Gromov-Wasserstein Metric
ICLR 2025
Robust Point Matching with Distance Profiles
JMLR 2025
The Z-Gromov-Wasserstein Distance
JMLR 2025
Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss
NeurIPS 2024
Breaking isometric ties and introducing priors in Gromov-Wasserstein distances
AISTATS 2024
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
JMLR 2024
Improving Hyperbolic Representations via Gromov-Wasserstein Regularization
ECCV 2024
Lower Complexity Adaptation for Empirical Entropic Optimal Transport
JMLR 2024
PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation
ICML 2024
Semidefinite Relaxations of the Gromov-Wasserstein Distance
NeurIPS 2024
Temporally Consistent Unbalanced Optimal Transport for Unsupervised Action Segmentation
CVPR 2024
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data
ICLR 2023
A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
ICML 2023
Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
NeurIPS 2023
Implicit Graphon Neural Representation
AISTATS 2023
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
AAAI 2023