John Paisley
Title
Cited by
Cited by
Year
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
Journal of Machine Learning Research 14 (1), 1303-1347, 2013
16452013
Online variational inference for the hierarchical Dirichlet process
C Wang, J Paisley, D Blei
Artificial Intelligence and Statistics (AISTATS), 2011
3912011
Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete images
M Zhou, H Chen, J Paisley, L Ren, L Li, Z Xing, D Dunson, G Sapiro, ...
IEEE Transactions on Image Processing 21 (1), 130-144, 2012
378*2012
Variational Bayesian Inference with Stochastic Search
J Paisley, DM Blei, MI Jordan
International Conference on Machine Learning (ICML), 2012
3322012
Nonparametric factor analysis with beta process priors
J Paisley, L Carin
International Conference on Machine Learning (ICML), 2009
2912009
Removing rain from single images via a deep detail network
X Fu, J Huang, D Zeng, Y Huang, X Ding, J Paisley
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
2772017
Non-parametric Bayesian dictionary learning for sparse image representations
M Zhou, H Chen, J Paisley, L Ren, G Sapiro, L Carin
Advances in Neural Information Processing Systems, 2009
271*2009
Clearing the skies: A deep network architecture for single-image rain removal
X Fu, J Huang, X Ding, Y Liao, J Paisley
IEEE Transactions on Image Processing 26 (6), 2944-2956, 2017
2592017
Compressive sensing on manifolds using a nonparametric mixture of factor analyzers: Algorithm and performance bounds
M Chen, J Silva, J Paisley, C Wang, D Dunson, L Carin
IEEE Transactions on Signal Processing 58 (12), 6140-6155, 2010
185*2010
Nested hierarchical Dirichlet processes
J Paisley, C Wang, DM Blei, MI Jordan
IEEE Transactions on Pattern Analysis and Machine Intelligence 37 (2), 256-270, 2015
1832015
A fusion-based enhancing method for weakly illuminated images
X Fu, D Zeng, Y Huang, Y Liao, X Ding, J Paisley
Signal Processing 129, 82-96, 2016
1252016
Topicrnn: A recurrent neural network with long-range semantic dependency
AB Dieng, C Wang, J Gao, J Paisley
International Conference on Learning Representations (ICLR), 2017
1212017
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Y Huang, J Paisley, Q Lin, X Ding, X Fu, XP Zhang
IEEE Transactions on Image Processing 23 (12), 5007-5019, 2014
1002014
Hyperspectral image classification with Markov random fields and a convolutional neural network
X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley
IEEE Transactions on image processing 27 (5), 2354-2367, 2018
882018
Music analysis using hidden markov mixture models
Y Qi, JW Paisley, L Carin
IEEE Transactions on Signal Processing 55 (11), 5209-5224, 2007
852007
The discrete infinite logistic normal distribution
J Paisley, C Wang, D Blei
Bayesian Analysis 7 (2), 235-272, 2012
83*2012
PanNet: A deep network architecture for pan-sharpening
J Yang, X Fu, Y Hu, Y Huang, X Ding, J Paisley
IEEE International Conference on Computer Vision (ICCV), 2017
762017
A stick-breaking construction of the beta process
J Paisley, AK Zaas, CW Woods, GS Ginsburg, L Carin
International Conference on Machine Learning (ICML), 2010
762010
Hidden Markov models with stick-breaking priors
J Paisley, L Carin
IEEE Transactions on Signal Processing 57 (10), 3905-3917, 2009
682009
Bayesian poisson tensor factorization for inferring multilateral relations from sparse dyadic event counts
A Schein, J Paisley, DM Blei, H Wallach
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
66*2015
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Articles 1–20