Optimal Transport

Validating Climate Models with Spherical Convolutional Wasserstein Distance NeurIPS 2024 Vector Quantile Regression on Manifolds AISTATS 2024 Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds NeurIPS 2024 Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024 Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer ICML 2024 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 Action Matching: Learning Stochastic Dynamics from Samples ICML 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 An Homogeneous Unbalanced Regularized Optimal Transport Model with Applications to Optimal Transport with Boundary AISTATS 2023 A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NeurIPS 2023 Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NeurIPS 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023 Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023 Computing all Optimal Partial Transports ICLR 2023 Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning JMLR 2023 COT: Unsupervised Domain Adaptation With Clustering and Optimal Transport CVPR 2023 Coupled Variational Autoencoder ICML 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization ICLR 2023 Evaluating and reducing the distance between synthetic and real speech distributions Interspeech 2023 Event Process Typing via Hierarchical Optimal Transport AAAI 2023 Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators JMLR 2023