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A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features


Jun 16, 2022
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf

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Understanding the Role of Self-Supervised Learning in Out-of-Distribution Detection Task


Oct 26, 2021
Jiuhai Chen, Chen Zhu, Bin Dai

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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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Particle-based Energetic Variational Inference


Apr 19, 2020
Yiwei Wang, Jiuhai Chen, Lulu Kang, Chun Liu

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* 14 page, 5 figures; Typos corrected 

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