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Decimated Framelet System on Graphs and Fast G-Framelet Transforms

Dec 12, 2020
Xuebin Zheng, Bingxin Zhou, Yu Guang Wang, Xiaosheng Zhuang

* 68 pages, 10 figures 

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On the Approximation Lower Bound for Neural Nets with Random Weights

Aug 19, 2020
Sho Sonoda, Ming Li, Feilong Cao, Changqin Huang, Yu Guang Wang


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Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide

Jul 22, 2020
Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao

* 12 pages, 6 figures, 5 tables 

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Distributed Learning via Filtered Hyperinterpolation on Manifolds

Jul 18, 2020
Guido Montúfar, Yu Guang Wang

* 50 pages, 4 figures, 2 tables 

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Path Integral Based Convolution and Pooling for Graph Neural Networks

Jul 08, 2020
Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Lio

* 15 pages, 4 figures, 6 tables. arXiv admin note: text overlap with arXiv:1904.10996 

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Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus

Jan 31, 2020
Nicole Hallett, Kai Yi, Josef Dick, Christopher Hodge, Gerard Sutton, Yu Guang Wang, Jingjing You

* 7 pages, 8 figures, 3 tables 

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CosmoVAE: Variational Autoencoder for CMB Image Inpainting

Jan 31, 2020
Kai Yi, Yi Guo, Yanan Fan, Jan Hamann, Yu Guang Wang

* 7 pages, 6 figures 

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Distributed filtered hyperinterpolation for noisy data on the sphere

Oct 06, 2019
Shao-Bo Lin, Yu Guang Wang, Ding-Xuan Zhou

* 26 pages, 4 figures 

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HaarPooling: Graph Pooling with Compressive Haar Basis

Sep 25, 2019
Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan

* 16 pages, 5 figures, 4 tables 

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Fast Haar Transforms for Graph Neural Networks

Jul 23, 2019
Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang

* 11 pages, 4 figures, 3 tables 

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Haar Transforms for Graph Neural Networks

Jul 10, 2019
Ming Li, Zheng Ma, Yu Guang Wang, Xiaosheng Zhuang

* 11 pages, 4 figures, 3 tables 

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