4 citations · 7 across the 16 of their papers we have counts for
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cs.LG2020
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation
Clara Menzen, Manon Kok, Kim Batselier
Multiway data often naturally occurs in a tensorial format which can be approximately represented by a low-rank tensor decomposition. This is useful because complexity can be signi…
eess.SY2020
Nonlinear system identification with regularized Tensor Network B-splines
Ridvan Karagoz, Kim Batselier
This article introduces the Tensor Network B-spline model for the regularized identification of nonlinear systems using a nonlinear autoregressive exogenous (NARX) approach. Tensor…
cs.LG2020★ 4 cited
Kernelized Support Tensor Train Machines
Cong Chen, Kim Batselier, Wenjian Yu +1
Tensor, a multi-dimensional data structure, has been exploited recently in the machine learning community. Traditional machine learning approaches are vector- or matrix-based, and…