Bridging Explicit and Implicit Deep Generative Models via Neural Stein Estimators

28 September 2019

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

8 / 8 papers shown

Title
Convergence of Gradient Methods on Bilinear Zero-Sum Games Guojun Zhang Yaoliang Yu 38 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 52 210 0 22 Apr 2019
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 199 3,110 0 09 Jul 2018
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 122 9,509 0 31 Mar 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 116 223 0 06 Mar 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 55 1,329 0 27 Feb 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 54 1,082 0 16 Aug 2016
Measuring Sample Quality with Stein's Method Jackson Gorham Lester W. Mackey 93 224 0 09 Jun 2015