Langevin Autoencoders for Learning Deep Latent Variable Models

15 September 2022

Papers citing "Langevin Autoencoders for Learning Deep Latent Variable Models"

22 / 22 papers shown

Title
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 177 350 0 20 Nov 2020
Learning Noise-Aware Encoder-Decoder from Noisy Labels by Alternating Back-Propagation for Saliency Detection Jing Zhang Jianwen Xie Nick Barnes NoLa 65 57 0 23 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 69 910 0 08 Jul 2020
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning Yizhe Zhu Jianwen Xie Bingchen Liu Ahmed Elgammal VLM 49 87 0 22 Apr 2019
Learning Dynamic Generator Model by Alternating Back-Propagation Through Time Jianwen Xie Ruiqi Gao Zilong Zheng Song-Chun Zhu Ying Nian Wu 57 47 0 27 Dec 2018
Taming VAEs Danilo Jimenez Rezende Fabio Viola DRL CML 65 186 0 01 Oct 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 97 57 0 06 Aug 2018
Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry X. Xing Ruiqi Gao Tian Han Song-Chun Zhu Ying Nian Wu DRL 99 28 0 16 Jun 2018
Amortized Inference Regularization Rui Shu Hung Bui Shengjia Zhao Mykel J. Kochenderfer Stefano Ermon DRL 50 82 0 23 May 2018
Neural Autoregressive Flows Chin-Wei Huang David M. Krueger Alexandre Lacoste Aaron Courville DRL AI4CE 146 442 0 03 Apr 2018
Sylvester Normalizing Flows for Variational Inference Rianne van den Berg Leonard Hasenclever Jakub M. Tomczak Max Welling BDL DRL 92 253 0 15 Mar 2018
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 63 62 0 27 Feb 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications Tim Salimans A. Karpathy Xi Chen Diederik P. Kingma 105 942 0 19 Jan 2017
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,494 0 21 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 137 1,820 0 15 Jun 2016
Variational Neural Machine Translation Biao Zhang Deyi Xiong Jinsong Su Hong Duan Min Zhang VLM DRL 61 203 0 25 May 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 313 4,182 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 85 2,742 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,279 0 09 Jun 2012