1. Tensor Decompositions and
Applications;Kolda;SIAM Review,2009
2. Tensorlab 3.0 - Numerical optimization
strategies for large-scale constrained and coupled matrix/tensor
factorization;Vervliet;2016 50th Asilomar Conference on Signals,
Systems and Computers,2016
3. TensorLy: Tensor Learning in
Python;Kossaifi;Journal of Machine Learning
Research,2019
4. rTensor: An R Package for Multidimensional
Array (Tensor) Unfolding, Multiplication, and
Decomposition;Li;Journal of Statistical
Software,2018
5. Cichocki, A., Zdunek, F., Phan, A.
H., & Amari, S. (2009). Wiley.
https://onlinelibrary.wiley.com/doi/book/10.1002/9780470747278