optimal transport

Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Unscrambling disease progression at scale: fast inference of event permutations with optimal transport NeurIPS 2024 Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport AAAI 2024 Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport AAAI 2024 Unsupervised Representation Learning by Balanced Self Attention Matching ECCV 2024 Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection ICML 2024 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 Your contrastive learning problem is secretly a distribution alignment problem NeurIPS 2024 Accelerating Motion Planning via Optimal Transport NeurIPS 2023 A Combinatorial Algorithm for Approximating the Optimal Transport in the Parallel and MPC Settings NeurIPS 2023 A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data ICLR 2023 Action Matching: Learning Stochastic Dynamics from Samples ICML 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 A linear time approximation of Wasserstein distance with word embedding selection EMNLP 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 Asymptotic confidence sets for random linear programs COLT 2023 AutoML for Outlier Detection with Optimal Transport Distances IJCAI 2023 Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NeurIPS 2023 Building Normalizing Flows with Stochastic Interpolants ICLR 2023 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023