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Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models

9 July 2020

Papers citing "Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models"

20 / 20 papers shown

Title
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 103 96 0 04 Mar 2020
Modeling Tabular data using Conditional GAN Lei Xu Maria Skoularidou Alfredo Cuesta-Infante K. Veeramachaneni CML MU SyDa GAN 121 1,262 0 01 Jul 2019
Combining Generative and Discriminative Models for Hybrid Inference Victor Garcia Satorras Zeynep Akata Max Welling 59 56 0 06 Jun 2019
GMNN: Graph Markov Neural Networks Meng Qu Yoshua Bengio Jian Tang BDL GNN 69 293 0 15 May 2019
Generating Multi-Categorical Samples with Generative Adversarial Networks R. Camino Christian A. Hammerschmidt R. State SyDa GAN 38 71 0 03 Jul 2018
Variational Autoencoder with Arbitrary Conditioning Oleg Ivanov Michael Figurnov Dmitry Vetrov BDL DRL 59 147 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 769 3,131 0 04 Jun 2018
Learning Approximate Inference Networks for Structured Prediction Lifu Tu Kevin Gimpel BDL 46 53 0 09 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 179 361 0 02 Mar 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets Hongwei Wang Jia Wang Jialin Wang Miao Zhao Weinan Zhang Fuzheng Zhang Xing Xie Minyi Guo GNN GAN 87 625 0 22 Nov 2017
Neural Variational Inference and Learning in Undirected Graphical Models Volodymyr Kuleshov Stefano Ermon BDL 62 34 0 07 Nov 2017
Improved Training of Wasserstein GANs Ishaan Gulrajani Faruk Ahmed Martín Arjovsky Vincent Dumoulin Aaron Courville GAN 227 9,564 0 31 Mar 2017
Boundary-Seeking Generative Adversarial Networks R. Devon Hjelm Athul Paul Jacob Tong Che Adam Trischler Kyunghyun Cho Yoshua Bengio GAN 87 170 0 27 Feb 2017
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 72 471 0 16 Jun 2016
Adversarially Learned Inference Vincent Dumoulin Ishmael Belghazi Ben Poole Olivier Mastropietro Alex Lamb Martín Arjovsky Aaron Courville GAN 89 1,314 0 02 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning Jeff Donahue Philipp Krahenbuhl Stefan Hadjis Christopher Ré 92 142 0 31 May 2016
Conditional Random Fields as Recurrent Neural Networks Shuai Zheng Sadeep Jayasumana Bernardino Romera-Paredes Vibhav Vineet Zhizhong Su Dalong Du Chang Huang Philip Torr SSeg 248 2,536 0 11 Feb 2015
Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation Jonathan Tompson Arjun Jain Yann LeCun C. Bregler 3DH 141 1,542 0 11 Jun 2014
Loopy Belief Propagation for Approximate Inference: An Empirical Study Kevin P. Murphy Yair Weiss Michael I. Jordan 3DV 135 1,883 0 23 Jan 2013