optimal transport

Efficient displacement convex optimization with particle gradient descent ICML 2023 Energy-Based Sliced Wasserstein Distance NeurIPS 2023 Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NeurIPS 2023 Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation NeurIPS 2023 Event Causality Extraction via Implicit Cause-Effect Interactions EMNLP 2023 Event Process Typing via Hierarchical Optimal Transport AAAI 2023 Extremal Domain Translation with Neural Optimal Transport NeurIPS 2023 Fair and Optimal Classification via Post-Processing ICML 2023 Fair Data Representation for Machine Learning at the Pareto Frontier JMLR 2023 Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023 Fast Algorithms for a New Relaxation of Optimal Transport COLT 2023 Fast Nonlinear Vector Quantile Regression ICLR 2023 Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NeurIPS 2023 Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers AAAI 2023 FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023 Flow Factorized Representation Learning NeurIPS 2023 Flow Matching for Generative Modeling ICLR 2023 Formulating Discrete Probability Flow Through Optimal Transport NeurIPS 2023 Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications NeurIPS 2023 Gaussian Processes on Distributions based on Regularized Optimal Transport AISTATS 2023 Generalized Sum Pooling for Metric Learning ICCV 2023 Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency EMNLP 2023 Globally solving the Gromov-Wasserstein problem for point clouds in low dimensional Euclidean spaces NeurIPS 2023 Graph Domain Adaptation via Theory-Grounded Spectral Regularization ICLR 2023 Group Sparse Optimal Transport for Sparse Process Flexibility Design IJCAI 2023