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Large-Scale Learning with Fourier Features and Tensor Decompositions


Sep 03, 2021
Frederiek Wesel, Kim Batselier

* 9 pages, 6 figures 

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Alternating linear scheme in a Bayesian framework for low-rank tensor approximation


Dec 21, 2020
Clara Menzen, Manon Kok, Kim Batselier


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Nonlinear system identification with regularized Tensor Network B-splines


Mar 17, 2020
Ridvan Karagoz, Kim Batselier


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Kernelized Support Tensor Train Machines


Jan 02, 2020
Cong Chen, Kim Batselier, Wenjian Yu, Ngai Wong


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Matrix Product Operator Restricted Boltzmann Machines


Nov 12, 2018
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong


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Deep Compression of Sum-Product Networks on Tensor Networks


Nov 09, 2018
Ching-Yun Ko, Cong Chen, Yuke Zhang, Kim Batselier, Ngai Wong


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Fast and Accurate Tensor Completion with Tensor Trains: A System Identification Approach


Jun 12, 2018
Ching-Yun Ko, Kim Batselier, Wenjian Yu, Ngai Wong

* 11 pages. Source code and supplemental materials are available via: https://github.com/IRENEKO/TTC 

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A Support Tensor Train Machine


Apr 17, 2018
Cong Chen, Kim Batselier, Ching-Yun Ko, Ngai Wong

* 7 pages 

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Parallelized Tensor Train Learning of Polynomial Classifiers


Nov 06, 2017
Zhongming Chen, Kim Batselier, Johan A. K. Suykens, Ngai Wong


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