Kim Batselier
Delft University of Technology, the Netherlands
Supervised machine learning with tensor network kernel machines
30 April 2024, 5pm
KU Leuven, Thermotechnisch Instituut
Aula van de Tweede Hoofdwet (01.02)
Streaming Link: https://eu.bbcollab.com/guest/037416442fe445b4a28b5d799b15fa08
Abstract
In this talk I will introduce tensor network kernel machines. These models are able to learn nonlinear patterns from data for both regression and classification tasks and are described by an exponential amount of model parameters. Live-demos will show that such models can be learned efficiently and at the same time achieve state-of-the art performance on validation data.
