Generative Modeling using the Sliced Wasserstein Distance

29 March 2018

Papers citing "Generative Modeling using the Sliced Wasserstein Distance"

25 / 25 papers shown

Title
Kernel Quantile Embeddings and Associated Probability Metrics Masha Naslidnyk Siu Lun Chau F. Briol Krikamol Muandet 70 0 0 26 May 2025
Liouville PDE-based sliced-Wasserstein flow for fair regression Pilhwa Lee Jayshawn Cooper 73 0 0 22 May 2025
Learning with Differentially Private (Sliced) Wasserstein Gradients David Rodríguez-Vítores Clément Lalanne Jean-Michel Loubes FedML 111 0 0 03 Feb 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 298 30,152 0 01 Mar 2022
Decision-Making with Auto-Encoding Variational Bayes Romain Lopez Pierre Boyeau Nir Yosef Michael I. Jordan Jeffrey Regier BDL 538 10,591 0 17 Feb 2020
Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras Timo Aila S. Laine J. Lehtinen GAN 181 7,377 0 27 Oct 2017
Dualing GANs Yujia Li Alex Schwing Kuan-Chieh Wang R. Zemel GAN 64 20 0 19 Jun 2017
MMD GAN: Towards Deeper Understanding of Moment Matching Network Chun-Liang Li Wei-Cheng Chang Yu Cheng Yiming Yang Barnabás Póczós GAN 66 725 0 24 May 2017
Stabilizing GAN Training with Multiple Random Projections Behnam Neyshabur Srinadh Bhojanapalli Ayan Chakrabarti 49 83 0 22 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 179 4,829 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 83 2,112 0 17 Jan 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed John E. Hopcroft Serge J. Belongie GAN 90 459 0 13 Dec 2016
Improved generator objectives for GANs Ben Poole Alexander A. Alemi Jascha Narain Sohl-Dickstein A. Angelova 66 69 0 08 Dec 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 125 1,004 0 07 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 435 10,541 0 21 Jul 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 486 9,073 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 164 1,659 0 02 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 279 14,027 0 19 Nov 2015
The Radon cumulative distribution transform and its application to image classification Soheil Kolouri Se Rim Park Gustavo K. Rohde 53 95 0 10 Nov 2015
Sliced Wasserstein Kernels for Probability Distributions Soheil Kolouri Yang Zou Gustavo K. Rohde 60 161 0 10 Nov 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 114 2,346 0 10 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 467 43,347 0 11 Feb 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 253 8,429 0 28 Nov 2014
Information Theoretical Estimators Toolbox Z. Szabó 65 119 0 08 May 2014