Fast and Accurate Tensor Completion With Total Variation Regularized Tensor Trains von Ko, Ching-Yun, Batselier, Kim, Daniel, Luca, Yu, Wenjian, Wong, Ngai

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Parallelized Tensor Train Learning of Polynomial Classifiers von Chen, Zhongming, Batselier, Kim, Suykens, Johan A. K., Wong, Ngai

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Deep Model Compression and Inference Speedup of Sum-Product Networks on Tensor Trains von Ko, Ching-Yun, Chen, Cong, He, Zhuolun, Zhang, Yuke, Batselier, Kim, Wong, Ngai

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Nonlinear system identification with regularized Tensor Network B-splines von Karagoz, Ridvan, Batselier, Kim

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Matrix output extension of the tensor network Kalman filter with an application in MIMO Volterra system identification von Batselier, Kim, Wong, Ngai

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Tensor Network alternating linear scheme for MIMO Volterra system identification von Batselier, Kim, Chen, Zhongming, Wong, Ngai

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A constructive arbitrary‐degree Kronecker product decomposition of tensors von Batselier, Kim, Wong, Ngai

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Faster tensor train decomposition for sparse data von Li, Lingjie, Yu, Wenjian, Batselier, Kim

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Symmetric tensor decomposition by an iterative eigendecomposition algorithm von Batselier, Kim, Wong, Ngai

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A Tensor Network Kalman filter with an application in recursive MIMO Volterra system identification von Batselier, Kim, Chen, Zhongming, Wong, Ngai

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Kernelized support tensor train machines von Chen, Cong, Batselier, Kim, Yu, Wenjian, Wong, Ngai

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Alternating Linear Scheme in a Bayesian Framework for Low-Rank Tensor Approximation von Menzen, Clara, Kok, Manon, Batselier, Kim

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Computing the state difference equations for discrete overdetermined linear mD systems von Batselier, Kim, Wong, Ngai

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Computing the state difference equations for discrete overdetermined linear m D systems von Batselier, Kim, Wong, Ngai

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Inverse multivariate polynomial root-finding: Numerical implementations of the affine and projective Buchberger–Möller algorithm von Batselier, Kim, Wong, Ngai

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Tensor network subspace identification of polynomial state space models von Batselier, Kim, Ko, Ching-Yun, Wong, Ngai

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Computing Low-Rank Approximations of Large-Scale Matrices with the Tensor Network Randomized SVD von Batselier, Kim, Yu, Wenjian, Daniel, Luca, Wong, Ngai

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Tensor Computation: A New Framework for High-Dimensional Problems in EDA von Zheng Zhang, Batselier, Kim, Haotian Liu, Daniel, Luca, Ngai Wong

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MERACLE: Constructive Layer-Wise Conversion of a Tensor Train into a MERA von Batselier, Kim, Cichocki, Andrzej, Wong, Ngai

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A Constructive Algorithm for Decomposing a Tensor into a Finite Sum of Orthonormal Rank-1 Terms von Batselier, Kim, Liu, Haotian, Wong, Ngai

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