Tensor Network Kernel Machines: A JAX Framework for Machine Learning and Nonlinear System Identification
Developing nonlinear models that are both expressive and computationally efficient remains a challenge in machine learning and nonlinear system identification. Tensor network kernel machines (TNKM) address this challenge by combining nonlinear feature representations with compact low-rank tensor-network parameterizatio...