Bridging Explicit and Implicit Deep Generative Models via Neural Stein
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Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators

28 September 2019

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Papers citing "Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators"

17 / 17 papers shown

Title
Convergence of Gradient Methods on Bilinear Zero-Sum Games Guojun Zhang Yaoliang Yu 60 37 0 15 Aug 2019
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model Erik Nijkamp Mitch Hill Song-Chun Zhu Ying Nian Wu 95 213 0 22 Apr 2019
Learning Implicit Generative Models by Teaching Explicit Ones Chao Du Kun Xu Chongxuan Li Jun Zhu Bo Zhang DRL GAN 35 9 0 10 Jul 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 303 3,141 0 09 Jul 2018
Deep Energy Estimator Networks Saeed Saremi Arash Mehrjou Bernhard Schölkopf Aapo Hyvarinen 59 75 0 21 May 2018
Gradient descent GAN optimization is locally stable Vaishnavh Nagarajan J. Zico Kolter GAN 86 348 0 13 Jun 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,560 0 31 Mar 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 136 223 0 06 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 115 1,343 0 27 Feb 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 175 1,725 0 31 Dec 2016
Cooperative Training of Descriptor and Generator Networks Jianwen Xie Yang Lu Ruiqi Gao Song-Chun Zhu Ying Nian Wu GAN 55 143 0 29 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 80 1,094 0 16 Aug 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 108 486 0 10 Feb 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann Arthur Gretton BDL 213 328 0 09 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 271 14,023 0 19 Nov 2015
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 110 225 0 09 Jun 2015
What Regularized Auto-Encoders Learn from the Data Generating Distribution Guillaume Alain Yoshua Bengio OOD DRL 72 505 0 18 Nov 2012

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