Optimal Transport

PARROT: Synergizing Mamba and Attention-based SSL Pre-Trained Models via Parallel Branch Hadamard Optimal Transport for Speech Emotion Recognition Interspeech 2025 Partial Gromov-Wasserstein Metric ICLR 2025 Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport ACL 2025 Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025 Relax and Merge: A Simple Yet Effective Framework for Solving Fair k-Means and k-sparse Wasserstein Barycenter Problems ICLR 2025 Reversing Flow for Image Restoration CVPR 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 Robust Point Matching with Distance Profiles JMLR 2025 SAVA: Scalable Learning-Agnostic Data Valuation ICLR 2025 Simulation-Free Differential Dynamics Through Neural Conservation Laws UAI 2025 Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds JMLR 2025 Stochastic Interpolants for Revealing Stylistic Flows across the History of Art ICCV 2025 Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport AISTATS 2025 The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation ICCV 2025 Tightening Causal Bounds via Covariate-Aware Optimal Transport ICML 2025 Towards Better Spherical Sliced-Wasserstein Distance Learning with Data-Adaptive Discriminative Projection Direction AAAI 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025 Trace: Structural Riemannian Bridge Matching for Transferable Source Localization in Information Propagation IJCAI 2025 Training-Free Voice Conversion with Factorized Optimal Transport Interspeech 2025 UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance ICML 2025 Variance-Reducing Couplings for Random Features ICLR 2025 WatE: A Wasserstein t-distributed Embedding Method for Information-enriched Graph Visualization AAAI 2025 When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training ICCV 2025 Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning JMLR 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024