Neural Variational Inference and Learning in Undirected Graphical Models

7 November 2017

Papers citing "Neural Variational Inference and Learning in Undirected Graphical Models"

7 / 7 papers shown

Title
Empirical Evaluation of Biased Methods for Alpha Divergence Minimization Tomas Geffner Justin Domke 30 9 0 13 May 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 74 30 0 18 Jan 2021
Probabilistic Circuits for Variational Inference in Discrete Graphical Models Andy Shih Stefano Ermon TPM 18 20 0 22 Oct 2020
Efficient Learning of Generative Models via Finite-Difference Score Matching Tianyu Pang Kun Xu Chongxuan Li Yang Song Stefano Ermon Jun Zhu DiffM 31 53 0 07 Jul 2020
Learning undirected models via query training Miguel Lazaro-Gredilla Wolfgang Lehrach Dileep George CML BDL FedML 15 1 0 05 Dec 2019
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 14 30 0 01 Jun 2018
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 83 36 0 01 Nov 2016