How Well Do WGANs Estimate the Wasserstein Metric?

9 October 2019

Papers citing "How Well Do WGANs Estimate the Wasserstein Metric?"

19 / 19 papers shown

Title
Variational Neural Stochastic Differential Equations with Change Points Yousef El-Laham Zhongchang Sun Haibei Zhu Tucker Balch Svitlana Vyetrenko 26 0 0 01 Nov 2024
A method for quantifying the generalization capabilities of generative models for solving Ising models Qunlong Ma Zhi Ma Ming Gao 19 0 0 06 May 2024
Adversarial Score Distillation: When score distillation meets GAN Min Wei Jingkai Zhou Junyao Sun Xuesong Zhang DiffM 18 8 0 01 Dec 2023
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation Xuan Zhao Simone Fabbrizzi Paula Reyero Lobo Siamak Ghodsi Klaus Broelemann Steffen Staab Gjergji Kasneci 36 1 0 21 Nov 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 17 31 0 28 Jun 2023
SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics P. Stinis C. Daskalakis P. Atzberger SyDa GAN 19 5 0 07 Feb 2023
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 24 26 0 15 Jun 2022
Training Wasserstein GANs without gradient penalties Dohyun Kwon Yeoneung Kim Guido Montúfar Insoon Yang GAN 13 4 0 27 Oct 2021
Wasserstein GANs with Gradient Penalty Compute Congested Transport Tristan Milne A. Nachman OT 16 8 0 01 Sep 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark Alexander Korotin Lingxiao Li Aude Genevay Justin Solomon Alexander N. Filippov Evgeny Burnaev OT 29 81 0 03 Jun 2021
Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance) Jan Stanczuk Christian Etmann L. Kreusser Carola-Bibiane Schönlieb GAN 16 48 0 02 Mar 2021
On Transportation of Mini-batches: A Hierarchical Approach Khai Nguyen Dang Nguyen Quoc Nguyen Tung Pham Hung Bui Dinh Q. Phung Trung Le Nhat Ho OT 13 18 0 11 Feb 2021
Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings M. H. Quang 51 5 0 05 Jan 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 25 29 0 28 Dec 2020
Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes M. H. Quang 21 13 0 15 Nov 2020
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 27 49 0 19 Aug 2020
Entropy-Regularized $2$ -Wasserstein Distance between Gaussian Measures Anton Mallasto Augusto Gerolin H. Q. Minh 21 51 0 05 Jun 2020
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training Ke Lei Morteza Mardani John M. Pauly S. Vasanawala GAN MedIm 33 64 0 15 Oct 2019
On Relativistic $f$ -Divergences Alexia Jolicoeur-Martineau 19 19 0 08 Jan 2019