John Paisley

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	Toate	Din 2020
Referințe bibliografice	15160	9735
h-index	44	34
i10-index	80	64

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Xinghao DingAdresă de e-mail confirmată pe xmu.edu.cn
Yue HuangProfessor, Xiamen UniversityAdresă de e-mail confirmată pe xmu.edu.cn
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresă de e-mail confirmată pe columbia.edu
Xueyang Fu (傅雪阳)Professor, University of Science and Technology of ChinaAdresă de e-mail confirmată pe ustc.edu.cn
Lawrence CarinDuke UniversityAdresă de e-mail confirmată pe duke.edu
Delu ZengProfessor with EE in South China University of TechnologyAdresă de e-mail confirmată pe scut.edu.cn
Chong WangAppleAdresă de e-mail confirmată pe cs.princeton.edu
Liyan SunStanford UniversityAdresă de e-mail confirmată pe stanford.edu
Mingyuan ZhouAssociate Professor, University of Texas at AustinAdresă de e-mail confirmată pe mccombs.utexas.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Jiabin HuangUnder postgraduate student of electronic and communication engineering, Xiamen UniversityAdresă de e-mail confirmată pe stu.xmu.edu.cn
Adji Bousso DiengAssistant Professor of Computer Science, Princeton UniversityAdresă de e-mail confirmată pe princeton.edu
David DunsonArts & Sciences Professor of Statistical Science & MathematicsAdresă de e-mail confirmată pe duke.edu
Lu RenYahoo! IncAdresă de e-mail confirmată pe yahoo-inc.com
Aonan ZhangAppleAdresă de e-mail confirmată pe apple.com
San GultekinMetaAdresă de e-mail confirmată pe columbia.edu
Zhiwen FanUniversity of Texas at AustinAdresă de e-mail confirmată pe utexas.edu
Marianthi-Anna KioumourtzoglouColumbia University Mailman School of Public Health, Environmental Health SciencesAdresă de e-mail confirmată pe cumc.columbia.edu
Guillermo SapiroAugustine Family Professor, Princeton University; Distinguished Eng., Apple; Prof. Emeritus, Duke U.Adresă de e-mail confirmată pe princeton.edu
Brent CoullProfessor of Biostatistics, Harvard UniversityAdresă de e-mail confirmată pe hsph.harvard.edu

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John Paisley

Columbia University

Adresă de e-mail confirmată pe columbia.edu - Pagina de pornire


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Stochastic variational inference MD Hoffman, DM Blei, C Wang, J Paisley Journal of Machine Learning Research 14 (1), 1303-1347, 2013	3287	2013
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	1313	2017
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	960	2017
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	768	2017
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	755	2016
Variational Bayesian inference with stochastic search J Paisley, DM Blei, MI Jordan International Conference on Machine Learning (ICML), 2012	652	2012
Online variational inference for the hierarchical Dirichlet process C Wang, J Paisley, D Blei Artificial Intelligence and Statistics (AISTATS), 2011	570	2011
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	475	2012
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	414	2019
Nonparametric factor analysis with beta process priors J Paisley, L Carin International Conference on Machine Learning (ICML), 2009	368	2009
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	341	2018
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	339	2009
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	321	2015
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	318	2017
Fully supervised speaker diarization A Zhang, Q Wang, Z Zhu, J Paisley, C Wang IEEE International Conference on Acoustics, Speech and Signal Processing, 2019	286	2019
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	209	2010
Variational Inference via Upper Bound Minimization AB Dieng, D Tran, R Ranganath, J Paisley, D Blei Advances in Neural Information Processing Systems, 2017	206*	2017
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	190*	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	167	2014
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	146	2020

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