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John Paisley
John Paisley
Columbia University
Dirección de correo verificada de columbia.edu - Página principal
Título
Citado por
Citado por
Año
Stochastic variational inference
MD Hoffman, DM Blei, C Wang, J Paisley
Journal of Machine Learning Research 14 (1), 1303-1347, 2013
32162013
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
12632017
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
9412017
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
7192016
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
7092017
Variational Bayesian Inference with Stochastic Search
J Paisley, DM Blei, MI Jordan
International Conference on Machine Learning (ICML), 2012
6312012
Online variational inference for the hierarchical Dirichlet process
C Wang, J Paisley, D Blei
Artificial Intelligence and Statistics (AISTATS), 2011
5562011
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
4702012
Lightweight pyramid networks for image deraining
X Fu, B Liang, Y Huang, X Ding, J Paisley
IEEE Transactions on Neural Networks and Learning Systems, 2019
4052019
Nonparametric factor analysis with beta process priors
J Paisley, L Carin
International Conference on Machine Learning (ICML), 2009
3652009
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
3362009
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
3352018
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
3122015
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
3002017
Fully supervised speaker diarization
A Zhang, Q Wang, Z Zhu, J Paisley, C Wang
IEEE International Conference on Acoustics, Speech and Signal Processing, 2019
2762019
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
2092010
Variational Inference via Upper Bound Minimization
AB Dieng, D Tran, R Ranganath, J Paisley, D Blei
Advances in Neural Information Processing Systems, 2017
1882017
Global explanations of neural networks: Mapping the landscape of predictions
M Ibrahim, M Louie, C Modarres, J Paisley
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 279-287, 2019
179*2019
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
1632014
An adversarial learning approach to medical image synthesis for lesion detection
L Sun, J Wang, Y Huang, X Ding, H Greenspan, J Paisley
IEEE journal of biomedical and health informatics 24 (8), 2303-2314, 2020
1362020
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Artículos 1–20