Author

G. R. van der Ploeg

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Preprint Oct 2026

Nonlinear Tensor Decomposition for Pattern Discovery

The CANDECOMP/PARAFAC (CP) decomposition is widely used for revealing the underlying patterns from multiway data (also referred to as a higher-order tensor). When the data is clipped or saturated, however, the linear CP model becomes unreliable. Several remedies exist such as treating the clipped entries as missing or...

Atharva Awari, G. R. van der Ploeg, Arnaud Vandaele et al. · 0 citations

Preprint Aug 2026

Knowledge-guided Pattern Discovery via Coupled Tensor Factorizations

This paper introduces a knowledge-guided approach that brings together data and computational models by jointly analyzing real data and simulated data (generated using a computational model) using coupled tensor factorizations with linear coupling.

Gaute Johannessen, G. R. van der Ploeg, E. Acar · 0 citations