Optimal Transport

Global Ground Metric Learning with Applications to scRNA data AISTATS 2025 Improving Deep Regression with Tightness ICLR 2025 LBM: Latent Bridge Matching for Fast Image-to-Image Translation ICCV 2025 Linearized Wasserstein Barycenters: Synthesis, Analysis, Representational Capacity, and Applications AISTATS 2025 Linear Partial Gromov-Wasserstein Embedding ICLR 2025 Microfoundation inference for strategic prediction AISTATS 2025 Multi-marginal Schrödinger Bridges with Iterative Reference Refinement AISTATS 2025 Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization UAI 2025 Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction ICLR 2025 Optimal Transport Alignment of User Preferences from Ratings and Texts UAI 2025 Optimal Transport for Probabilistic Circuits UAI 2025 Optimal Transport for Time Series Imputation ICLR 2025 Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport ICLR 2025 SAVA: Scalable Learning-Agnostic Data Valuation ICLR 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 Synthesis and Analysis of Data as Probability Measures With Entropy-Regularized Optimal Transport AISTATS 2025 Towards Marginal Fairness Sliced Wasserstein Barycenter ICLR 2025 What is the Right Notion of Distance between Predict-then-Optimize Tasks? UAI 2025 Accelerating Sinkhorn algorithm with sparse Newton iterations ICLR 2024 Analyzing and Improving Optimal-Transport-based Adversarial Networks ICLR 2024 Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance ACML 2024 Federated Wasserstein Distance ICLR 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024 Neural Optimal Transport with Lagrangian Costs UAI 2024 OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection ACL 2024