wasserstein distance

Improved Adversarial Systems for 3D Object Generation and Reconstruction CoRL 2017 Improved Training of Wasserstein GANs NeurIPS 2017 Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval CVPR 2017 Multilevel Clustering via Wasserstein Means ICML 2017 On the Ability of Neural Nets to Express Distributions COLT 2017 Order-Preserving Wasserstein Distance for Sequence Matching CVPR 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017 Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017 Sliced Wasserstein Kernel for Persistence Diagrams ICML 2017 ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks ACML 2017 Wasserstein Generative Adversarial Networks ICML 2017 Wasserstein Learning of Deep Generative Point Process Models NeurIPS 2017 Fast Dictionary Learning with a Smoothed Wasserstein Loss AISTATS 2016 Shape Analysis With Hyperbolic Wasserstein Distance CVPR 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 A Stable Multi-Scale Kernel for Topological Machine Learning CVPR 2015 Distributionally Robust Logistic Regression NeurIPS 2015 Learning with a Wasserstein Loss NeurIPS 2015 Statistical Topological Data Analysis using Persistence Landscapes JMLR 2015 UniHIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints CVPR 2015 Wasserstein Propagation for Semi-Supervised Learning ICML 2014 Data-driven Distributionally Robust Polynomial Optimization NeurIPS 2013