2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs

19 February 2019

Papers citing "2-Wasserstein Approximation via Restricted Convex Potentials with Application to Improved Training for GANs"

13 / 13 papers shown

Title
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 46 0 0 10 Oct 2024
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 31 4 0 02 Oct 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 37 4 0 19 May 2023
Distribution estimation and change-point estimation for time series via DNN-based GANs Jianya Lu Ying Mo Zhijie Xiao Lihu Xu Qiuran Yao AI4TS 25 0 0 26 Nov 2022
Tutorial on amortized optimization Brandon Amos OffRL 75 43 0 01 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 26 24 0 28 Jan 2022
Generative Modeling with Optimal Transport Maps Litu Rout Alexander Korotin Evgeny Burnaev OT DiffM 122 65 0 06 Oct 2021
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization Chin-Wei Huang Ricky T. Q. Chen Christos Tsirigotis Aaron Courville OT 119 95 0 10 Dec 2020
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks JiaoJiao Fan Amirhossein Taghvaei Yongxin Chen 34 56 0 08 Jul 2020
GANs May Have No Nash Equilibria Farzan Farnia Asuman Ozdaglar GAN 28 43 0 21 Feb 2020
Wasserstein-2 Generative Networks Alexander Korotin Vage Egiazarian Arip Asadulaev Alexander Safin E. Burnaev GAN 128 100 0 28 Sep 2019
Input Convex Neural Networks Brandon Amos Lei Xu J. Zico Kolter 178 598 0 22 Sep 2016
Sparse/Robust Estimation and Kalman Smoothing with Nonsmooth Log-Concave Densities: Modeling, Computation, and Theory Aleksandr Aravkin J. Burke G. Pillonetto 84 64 0 19 Jan 2013