sliced wasserstein distance

Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023 Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction ICML 2023 Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023 Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023 Spherical Sliced-Wasserstein ICLR 2023 Amortized Projection Optimization for Sliced Wasserstein Generative Models NeurIPS 2022 Augmented Sliced Wasserstein Distances ICLR 2022 Distribution Regression with Sliced Wasserstein Kernels ICML 2022 Generalized One-shot Domain Adaptation of Generative Adversarial Networks NeurIPS 2022 Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment CVPR 2022 Sliced Wasserstein variational inference ACML 2022 Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NeurIPS 2022 A Sliced Wasserstein Loss for Neural Texture Synthesis CVPR 2021 Differentially Private Sliced Wasserstein Distance ICML 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling ICLR 2021 Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections NeurIPS 2021 Model Selection for Bayesian Autoencoders NeurIPS 2021 Point-Set Distances for Learning Representations of 3D Point Clouds ICCV 2021 Pooling by Sliced-Wasserstein Embedding NeurIPS 2021 Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021 Towards a Universal Model for Cross-Dataset Crowd Counting ICCV 2021 Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance NeurIPS 2019 Generalized Sliced Wasserstein Distances NeurIPS 2019 Max-Sliced Wasserstein Distance and Its Use for GANs CVPR 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019