Optimal Transport

Parametric model reduction of mean-field and stochastic systems via higher-order action matching NeurIPS 2024 Quasi-Monte Carlo for 3D Sliced Wasserstein ICLR 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023 A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance ICLR 2023 Asymptotic confidence sets for random linear programs COLT 2023 Computing all Optimal Partial Transports ICLR 2023 Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NeurIPS 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization ICLR 2023 Evaluating and reducing the distance between synthetic and real speech distributions Interspeech 2023 Fast Algorithms for a New Relaxation of Optimal Transport COLT 2023 Gromov-Wasserstein Autoencoders ICLR 2023 LAVA: Data Valuation without Pre-Specified Learning Algorithms ICLR 2023 Non-asymptotic convergence bounds for Sinkhorn iterates and their gradients: a coupling approach. COLT 2023 Optimal Transport for Offline Imitation Learning ICLR 2023 Riemannian Metric Learning via Optimal Transport ICLR 2023 Spherical Sliced-Wasserstein ICLR 2023 A fast and accurate splitting method for optimal transport: analysis and implementation ICLR 2022 Cross-Domain Imitation Learning via Optimal Transport ICLR 2022 Fast topological clustering with Wasserstein distance ICLR 2022 Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking ICLR 2022 Learning meta-features for AutoML ICLR 2022 Learning Prototype-oriented Set Representations for Meta-Learning ICLR 2022 Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection WACV 2022