Paisley, John W.

12 publications

AAAI 2023 Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley

AAAI 2018 Compressed Sensing MRI Using a Recursive Dilated Network Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley

IJCAI 2018 MEnet: A Metric Expression Network for Salient Object Segmentation Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John W. Paisley

ICLR 2017 TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley

AISTATS 2016 Stochastic Variational Inference for the HDP-HMM Aonan Zhang, San Gultekin, John W. Paisley

AISTATS 2014 Pan-Sharpening with a Bayesian Nonparametric Dictionary Learning Model Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley

ICLR 2013 A Nested HDP for Hierarchical Topic Models John W. Paisley, Chong Wang, David M. Blei, Michael I. Jordan

ICML 2012 Variational Bayesian Inference with Stochastic Search John W. Paisley, David M. Blei, Michael I. Jordan

ICML 2011 Variational Inference for Stick-Breaking Beta Process Priors John W. Paisley, Lawrence Carin, David M. Blei

ICML 2010 A Stick-Breaking Construction of the Beta Process John W. Paisley, Aimee K. Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin

NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations Mingyuan Zhou, Haojun Chen, Lu Ren, Guillermo Sapiro, Lawrence Carin, John W. Paisley

ICML 2009 Nonparametric Factor Analysis with Beta Process Priors John W. Paisley, Lawrence Carin