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Implicit vs Unfolded Graph Neural Networks


Nov 12, 2021
Yongyi Yang, Yangkun Wang, Zengfeng Huang, David Wipf


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Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features


Oct 26, 2021
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf


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Why Propagate Alone? Parallel Use of Labels and Features on Graphs


Oct 14, 2021
Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf


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Learning Hierarchical Graph Neural Networks for Image Clustering


Jul 17, 2021
Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto


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From Canonical Correlation Analysis to Self-supervised Graph Neural Networks


Jun 23, 2021
Hengrui Zhang, Qitian Wu, Junchi Yan, David Wipf, Philip S. Yu


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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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