Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning

6 November 2016

Papers citing "Learning to Draw Samples: With Application to Amortized MLE for Generative Adversarial Learning"

23 / 73 papers shown

Title
Wasserstein Divergence for GANs Jiqing Wu Zhiwu Huang Janine Thoma Dinesh Acharya Luc Van Gool 31 138 0 04 Dec 2017
Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang-rui Liu Jun Zhu 11 67 0 30 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Sobolev GAN Youssef Mroueh Chun-Liang Li Tom Sercu Anant Raj Yu Cheng 8 117 0 14 Nov 2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu OOD 14 160 0 06 Sep 2017
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 34 57 0 04 Sep 2017
Improved ArtGAN for Conditional Synthesis of Natural Image and Artwork W. Tan Chee Seng Chan H. Aguirre Kiyoshi Tanaka GAN 11 2 0 31 Aug 2017
Learning Model Reparametrizations: Implicit Variational Inference by Fitting MCMC distributions Michalis K. Titsias BDL 16 23 0 04 Aug 2017
Controllable Generative Adversarial Network Minhyeok Lee Junhee Seok GAN 15 75 0 02 Aug 2017
Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE Qiang Liu Dilin Wang 16 21 0 04 Jul 2017
Adversarial Variational Bayes Methods for Tweedie Compound Poisson Mixed Models Yaodong Yang Rui Luo Yuanyuan Liu 17 0 0 16 Jun 2017
Adversarial Feature Matching for Text Generation Yizhe Zhang Zhe Gan Kai Fan Zhi Chen Ricardo Henao Dinghan Shen Lawrence Carin GAN 13 333 0 12 Jun 2017
Fisher GAN Youssef Mroueh Tom Sercu GAN AI4CE 14 132 0 26 May 2017
Gradient Estimators for Implicit Models Yingzhen Li Richard Turner 33 104 0 19 May 2017
Discrete Sequential Prediction of Continuous Actions for Deep RL Luke Metz Julian Ibarz Navdeep Jaitly James Davidson BDL OffRL 20 116 0 14 May 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 14 9,467 0 31 Mar 2017
Measuring Sample Quality with Kernels Jackson Gorham Lester W. Mackey 86 222 0 06 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 14 688 0 02 Mar 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 12 61 0 27 Feb 2017
Reinforcement Learning with Deep Energy-Based Policies Tuomas Haarnoja Haoran Tang Pieter Abbeel Sergey Levine 24 1,308 0 27 Feb 2017
Stacked Generative Adversarial Networks Xun Huang Yixuan Li Omid Poursaeed J. Hopcroft Serge J. Belongie GAN 22 458 0 13 Dec 2016
Two Methods For Wild Variational Inference Qiang Liu Yihao Feng BDL 21 19 0 30 Nov 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016