Active learning of tree tensor networks using optimal least-squares

Cécile Haberstich, Anthony Nouy, Guillaume Perrin

In this paper, we propose new learning algorithms for approximating high-dimensional functions using tree tensor networks in a least-squares setting. Given a dimension tree or arch…