All code can be used freely in research and other non-profit applications (unless otherwise stated in the third party licenses). If you publish results obtained with this toolbox we kindly ask that our and other relevant sources are properly cited.
This tool was developed at:
The Technical University of Denmark, Department for Applied Mathematics and Computer Science, Section for Cognitive Systems.
Reference [1] Hinrich JL, Mørup M. Probabilistic Tensor Train Decomposition. In2019 27th European Signal Processing Conference (EUSIPCO) 2019 Sep 2 (pp. 1-5). IEEE.