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John Paisley
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Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks


Mar 14, 2023
Arunesh Mittal, Kai Yang, Paul Sajda, John Paisley

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Nonlinear Kalman Filtering with Reparametrization Gradients


Mar 08, 2023
San Gultekin, Brendan Kitts, Aaron Flores, John Paisley

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Self-Verification in Image Denoising


Nov 01, 2021
Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John Paisley

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Bayesian non-parametric non-negative matrix factorization for pattern identification in environmental mixtures


Sep 24, 2021
Elizabeth A. Gibson, Sebastian T. Rowland, Jeff Goldsmith, John Paisley, Julie B. Herbstman, Marianthi-Anna Kiourmourtzoglou

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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

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* 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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