Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)

2 March 2021

Jan Stanczuk

Christian Etmann

L. Kreusser

Carola-Bibiane Schönlieb

GAN

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Papers citing "Wasserstein GANs Work Because They Fail (to Approximate the Wasserstein Distance)"

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Title
Time-Causal VAE: Robust Financial Time Series Generator Beatrice Acciaio Stephan Eckstein Songyan Hou AI4TS 30 2 0 05 Nov 2024
Variational Neural Stochastic Differential Equations with Change Points Yousef El-Laham Zhongchang Sun Haibei Zhu Tucker Balch Svitlana Vyetrenko 21 0 0 01 Nov 2024
Deep Generative Quantile Bayes Jungeum Kim Percy S. Zhai Veronika Rockova 41 0 0 10 Oct 2024
Generative Modelling via Quantile Regression Johannes Schmidt-Hieber Petr Zamolodtchikov 24 0 0 06 Sep 2024
Global Optimisation of Black-Box Functions with Generative Models in the Wasserstein Space Tigran Ramazyan M. Hushchyn D. Derkach 29 0 0 16 Jul 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov Petr Mokrov Alexander Gasnikov Alexander Korotin 26 10 0 19 Mar 2024
Adversarial Score Distillation: When score distillation meets GAN Min Wei Jingkai Zhou Junyao Sun Xuesong Zhang DiffM 13 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 23 1 0 21 Nov 2023
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching Kai Yan A. Schwing Yu-xiong Wang OffRL 16 0 0 02 Nov 2023
Imitation Learning from Observation through Optimal Transport Wei-Di Chang Scott Fujimoto D. Meger Gregory Dudek 22 4 0 02 Oct 2023
Recent Advances in Optimal Transport for Machine Learning Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OOD OT 13 31 0 28 Jun 2023
GANs Settle Scores! Siddarth Asokan Nishanth Shetty Aadithya Srikanth C. Seelamantula 32 0 0 02 Jun 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 43 12 0 08 May 2023
Variational Diffusion Auto-encoder: Latent Space Extraction from Pre-trained Diffusion Models Georgios Batzolis Jan Stanczuk Carola-Bibiane Schönlieb DiffM 20 0 0 24 Apr 2023
A survey and taxonomy of loss functions in machine learning Lorenzo Ciampiconi A. Elwood Marco Leonardi A. Mohamed A. Rozza MU FaML 9 25 0 13 Jan 2023
Adversarial Bayesian Simulation YueXing Wang Veronika Rovcková GAN BDL 22 5 0 25 Aug 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? Alexander Korotin Alexander Kolesov Evgeny Burnaev OT 17 26 0 15 Jun 2022
UVCGAN: UNet Vision Transformer cycle-consistent GAN for unpaired image-to-image translation D. Torbunov Yi Huang Haiwang Yu Jin-zhi Huang Shinjae Yoo Meifeng Lin B. Viren Yihui Ren ViT 23 78 0 04 Mar 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 26 4 0 07 Feb 2022
Parameter tuning and model selection in optimal transport with semi-dual Brenier formulation A. Vacher Franccois-Xavier Vialard OT 11 3 0 14 Dec 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 15 21 0 27 Sep 2021
Manifold-preserved GANs Haozhe Liu Hanbang Liang Xianxu Hou Haoqian Wu Feng Liu Linlin Shen 41 5 0 18 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 16 3 0 08 Sep 2021
Wasserstein GANs with Gradient Penalty Compute Congested Transport Tristan Milne A. Nachman OT 14 8 0 01 Sep 2021
Regularising Inverse Problems with Generative Machine Learning Models Margaret Duff Neill D. F. Campbell Matthias Joachim Ehrhardt GAN MedIm 21 34 0 22 Jul 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 21 81 0 03 Jun 2021
Adversarial Intrinsic Motivation for Reinforcement Learning Ishan Durugkar Mauricio Tec S. Niekum Peter Stone OOD 19 36 0 27 May 2021
The Intrinsic Dimension of Images and Its Impact on Learning Phillip E. Pope Chen Zhu Ahmed Abdelkader Micah Goldblum Tom Goldstein 189 260 0 18 Apr 2021
An Introduction to Deep Generative Modeling Lars Ruthotto E. Haber AI4CE 14 220 0 09 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 6 18 0 11 Feb 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 17 29 0 28 Dec 2020
A Systematic Survey of Regularization and Normalization in GANs Ziqiang Li Muhammad Usman Rentuo Tao Pengfei Xia Xintian Wu Huanhuan Chen Bin Li 22 49 0 19 Aug 2020
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 264 10,344 0 12 Dec 2018