Optimal Transport

A2GC: Asymmetric Aggregation with Geometric Constraints for Locally Aggregated Descriptors CVPR 2026 Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport CVPR 2026 Can Optimal Transport Improve Federated Inverse Reinforcement Learning? L4DC 2026 Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals JMLR 2026 CONVERGENCE RATES FOR DISTRIBUTION MATCHING WITH SLICED OPTIMAL TRANSPORT COLT 2026 COT-FM: Cluster-wise Optimal Transport Flow Matching CVPR 2026 Demographic Parity in Regression and Classification Within the Unawareness Framework JMLR 2026 DMGD: Train-Free Dataset Distillation with Semantic-Distribution Matching in Diffusion Models CVPR 2026 HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation CVPR 2026 Inconsistency-aware Multimodal Schrodinger Bridge for Deepfake Localization CVPR 2026 Nonparametric generative modeling for time series via Schrödinger bridge JMLR 2026 Quota-Calibrated Fine-Grained Alignment with Context-Aware Marginals for Text-based Person Retrieval CVPR 2026 Rethinking Model Selection in VLM Through the Lens of Gromov-Wasserstein Distance CVPR 2026 SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification ACL 2026 Shape-of-You: Fused Gromov-Wasserstein Optimal Transport for Semantic Correspondence in-the-Wild CVPR 2026 skwdro: a library for Wasserstein distributionally robust machine learning JMLR 2026 SOTA: Self-adaptive Optimal Transport for Zero-Shot Classification with Multiple Foundation Models CVPR 2026 Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation UAI 2026 Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps AISTATS 2025 Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport AISTATS 2025 Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets ICLR 2025 Expected Sliced Transport Plans ICLR 2025 Fast unsupervised ground metric learning with tree-Wasserstein distance ICLR 2025 FIRM: Fusion-Injected Residual Memory Brings Token-Level Alignment to Unsupervised VI-ReID ACML 2025