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Adaptive noise imitation for image denoising

Nov 30, 2020
Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John Paisley


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Bayesian recurrent state space model for rs-fMRI

Nov 14, 2020
Arunesh Mittal, Scott Linderman, John Paisley, Paul Sajda

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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Deep Bayesian Nonparametric Factor Analysis

Nov 09, 2020
Arunesh Mittal, Paul Sajda, John Paisley


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Learning Rate Dropout

Dec 05, 2019
Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John Paisley


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Noise2Blur: Online Noise Extraction and Denoising

Dec 03, 2019
Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John Paisley


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Risk Bounds for Low Cost Bipartite Ranking

Dec 02, 2019
San Gultekin, John Paisley


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Accurate Uncertainty Estimation and Decomposition in Ensemble Learning

Nov 11, 2019
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent Coull


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Reweighted Expectation Maximization

Jun 13, 2019
Adji B. Dieng, John Paisley

* Code can be found at https://github.com/adjidieng/REM 

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Random Function Priors for Correlation Modeling

May 13, 2019
Aonan Zhang, John Paisley

* Accepted by ICML 2019. 13 pages, 6 figures 

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Rain O'er Me: Synthesizing real rain to derain with data distillation

Apr 10, 2019
Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John Paisley


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Global Explanations of Neural Networks: Mapping the Landscape of Predictions

Feb 06, 2019
Mark Ibrahim, Melissa Louie, Ceena Modarres, John Paisley

* published at ACM/AAAI AIES 

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Mixed Membership Recurrent Neural Networks

Dec 23, 2018
Ghazal Fazelnia, Mark Ibrahim, Ceena Modarres, Kevin Wu, John Paisley


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Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process

Dec 19, 2018
Jeremiah Zhe Liu, John Paisley, Marianthi-Anna Kioumourtzoglou, Brent A. Coull

* Work-in-progress manuscript appeared at Bayesian Nonparametrics Workshop, Neural Information Processing Systems 2018 

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Towards Explainable Deep Learning for Credit Lending: A Case Study

Nov 30, 2018
Ceena Modarres, Mark Ibrahim, Melissa Louie, John Paisley

* Accepted NIPS 2018 FEAP 

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A Deep Tree-Structured Fusion Model for Single Image Deraining

Nov 21, 2018
Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John Paisley


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Fully Supervised Speaker Diarization

Oct 27, 2018
Aonan Zhang, Quan Wang, Zhenyao Zhu, John Paisley, Chong Wang

* To be submitted to ICASSP 2019 

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An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal

Oct 25, 2018
Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John Paisley

* 15 pages, 16 figures 

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MBA: Mini-Batch AUC Optimization

May 31, 2018
San Gultekin, Avishek Saha, Adwait Ratnaparkhi, John Paisley


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Lightweight Pyramid Networks for Image Deraining

May 16, 2018
Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John Paisley

* submitted to IEEE Transactions on Neural Networks and Learning Systems 

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MEnet: A Metric Expression Network for Salient Object Segmentation

May 15, 2018
Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley

* 7 pages,7 figures, 4 tables; The paper has been accepted by International Joint Conference on Artificial Intelligence (IJCAI),2018 

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Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network

May 06, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 8 pages, 6 figures, 3 tables 

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A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction

Apr 10, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 13 pages, 16 figures, 3 tables 

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A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI

Apr 04, 2018
Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley


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A Divide-and-Conquer Approach to Compressed Sensing MRI

Mar 27, 2018
Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John Paisley

* 37 pages, 20 figures, 2 tables 

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A Deep Error Correction Network for Compressed Sensing MRI

Mar 23, 2018
Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John Paisley

* 7 pages, 7 figures, 2 tables 

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Online Forecasting Matrix Factorization

Dec 23, 2017
San Gultekin, John Paisley


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Variational Inference via $Ο‡$-Upper Bound Minimization

Nov 12, 2017
Adji B. Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, David M. Blei

* Neural Information Processing Systems, 2017 

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Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

Nov 12, 2017
Xiangyong Cao, Feng Zhou, Lin Xu, Deyu Meng, Zongben Xu, John Paisley


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