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Graph Neural Networks Inspired by Classical Iterative Algorithms


Mar 10, 2021
Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

* Under review 

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A Biased Graph Neural Network Sampler with Near-Optimal Regret


Mar 01, 2021
Qingru Zhang, David Wipf, Quan Gan, Le Song

* 21 pages, 10 figures 

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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings


Jan 25, 2021
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf

* A condensed version is accepted to AISTATS 2021 

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Further Analysis of Outlier Detection with Deep Generative Models


Oct 25, 2020
Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

* NeurIPS 2020 

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training


Jun 11, 2020
Qipeng Guo, Zhijing Jin, Xipeng Qiu, Weinan Zhang, David Wipf, Zheng Zhang

* Submitted to NeurIPS 2020 

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The Usual Suspects? Reassessing Blame for VAE Posterior Collapse


Dec 23, 2019
Bin Dai, Ziyu Wang, David Wipf


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Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements


Apr 01, 2019
Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang

* Accepted to CVPR2019; code is available at https://github.com/Vandermode/ERRNet 

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Diagnosing and Enhancing VAE Models


Mar 14, 2019
Bin Dai, David Wipf


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Image Smoothing via Unsupervised Learning


Nov 07, 2018
Qingnan Fan, Jiaolong Yang, David Wipf, Baoquan Chen, Xin Tong

* Accepted in SIGGRAPH Asia 2018 

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Revisiting Deep Intrinsic Image Decompositions


Aug 31, 2018
Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David Wipf

* Accepted by CVPR'18 as Oral presentation (Conference on Computer Vision and Pattern Recognition) 

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A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing


Jun 10, 2018
Qingnan Fan, Jiaolong Yang, Gang Hua, Baoquan Chen, David Wipf

* Appeared at ICCV'17 (International Conference on Computer Vision) 

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Compressing Neural Networks using the Variational Information Bottleneck


Apr 19, 2018
Bin Dai, Chen Zhu, David Wipf


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Hidden Talents of the Variational Autoencoder


Apr 04, 2018
Bin Dai, Yu Wang, John Aston, Gang Hua, David Wipf


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From Bayesian Sparsity to Gated Recurrent Nets


Aug 02, 2017
Hao He, Bo Xin, David Wipf


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Pseudo-Bayesian Robust PCA: Algorithms and Analyses


Oct 07, 2016
Tae-Hyun Oh, Yasuyuki Matsushita, In So Kweon, David Wipf

* Journal version of NIPS 2016. Submitted to TPAMI 

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Maximal Sparsity with Deep Networks?


May 10, 2016
Bo Xin, Yizhou Wang, Wen Gao, David Wipf


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Unsupervised Extraction of Video Highlights Via Robust Recurrent Auto-encoders


Oct 06, 2015
Huan Yang, Baoyuan Wang, Stephen Lin, David Wipf, Minyi Guo, Baining Guo

* To Appear in ICCV 2015 

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Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints


Jul 01, 2015
Bo Xin, David Wipf


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Non-Convex Rank Minimization via an Empirical Bayesian Approach


Aug 09, 2014
David Wipf

* Appears in Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence (UAI2012) 

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Non-Uniform Blind Deblurring with a Spatially-Adaptive Sparse Prior


Jun 17, 2013
Haichao Zhang, David Wipf


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Revisiting Bayesian Blind Deconvolution


May 10, 2013
David Wipf, Haichao Zhang

* This paper has been submitted to JMLR. A conference version will appear at EMMCVPR 2013 

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Image Super-Resolution via Sparse Bayesian Modeling of Natural Images


Sep 19, 2012
Haichao Zhang, David Wipf, Yanning Zhang

* 8 figures, 29 pages 

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Dual-Space Analysis of the Sparse Linear Model


Jul 10, 2012
David Wipf, Yi Wu

* 9 pages, 2 figures, submission to NIPS 2012 

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