18 citations · 27 across the 5 of their papers we have counts for
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stat.ML2022★ 1 cited
Decoupling multivariate functions using a nonparametric filtered tensor decomposition
Jan Decuyper, Koen Tiels, Siep Weiland +2
Multivariate functions emerge naturally in a wide variety of data-driven models. Popular choices are expressions in the form of basis expansions or neural networks. While highly ef…
eess.SY2022★ 18 cited
Applying Polynomial Decoupling Methods to the Polynomial NARX Model
Kiana Karami, David Westwick, Johan Schoukens
System identification uses measurements of a dynamic system's input and output to reconstruct a mathematical model for that system. These can be mechanical, electrical, physiologic…