==Convolutional Poisson Gamma Belief Network==
This is code for the paper "Convolutional Poisson Gamma Belief Network" published in ICML2019 .
Created by Chaojie Wang , Bo Chen , Sucheng Xiao at Xidian University and Mingyuan Zhou at University of Texas at Austin. https://arxiv.org/abs/1905.05394
==Requirement==
Tensorflow >= 1.0
PyCUDA >= 0.8
PyCUDA can be download from following address https://mathema.tician.de/software/pycuda/
==Data Source==
All data source files can be found in following addresses and have been included in our repository.
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MR: https://www.cs.cornell.edu/people/pabo/movie-review-data/
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SUBJ: http://www.cs.cornell.edu/people/pabo/movie-review-data/
==Overview==
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CPFA_Mnist_Demo folder contains 4 different training algorithms for CPFA, including Toeplitz, Element, Element-Parallel and SGMCMC mehthods.
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CPGBN_Text_Demo folder contains Datasets and experiment code to reproduce the results in our paper.
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CPGBN_Derivation_Draft file provides a detailed derivation for the CPGBN.
==Citations==
If you find that the algorithms in this repository are useful for your research, please refer to the following article:
@inproceedings{CPGBN_ICML2019,
title={{C}onvolutional {P}oisson {G}amma {B}elief {N}etwork},
author={Chaojie Wang and Bo Chen and Sucheng Xiao and Mingyuan Zhou}, booktitle={ICML}, year={2019}}
==Contact==
Contact Bo Chen bchen@mail.xidian.edu.cn or Chaojie Wang xd_silly@163.com
Copyright (c), 2018, Chaojie Wang xd_silly@163.com