# Tensor Network Kernel Machines for Nonlinear System Identification

**Authors:** Kim Batselier  
**Published:** 9 Nov 2026  
**Links:** [arXiv](https://arxiv.org/abs/2611.12326) · [PDF](https://arxiv.org/pdf/2611.12326) · [This page](https://omen-bit.github.io/ai-paper-daily/paper/2611.12326.html)

## Abstract

Over the past ten years Tensor Network Kernel Machines have enabled efficient nonlinear system identification through the use of low-rank tensor networks. The goal of this article is to provide the reader with a basic understanding of this model class in terms of its two defining properties. Furthermore, both the optimization and regularization of such models are discussed, together with recent developments and starting points for further exploration.

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Notes written by AI from the paper, numbers copied from the abstract. Check the paper before you rely on them. From AI Papers Daily.