References
We cite the following works in the development of MPSTime.jl:
- [1]
- M. Fishman, S. R. White and E. M. Stoudenmire. The ITensor Software Library for Tensor Network Calculations. SciPost Phys. Codebases, 4 (2022).
- [2]
- M. Fishman, S. R. White and E. M. Stoudenmire. Codebase release 0.3 for ITensor. SciPost Phys. Codebases, 4-r0.3 (2022).
- [3]
- S.-J. Ran, Z.-Z. Sun, S.-M. Fei, G. Su and M. Lewenstein. Tensor network compressed sensing with unsupervised machine learning. Physical Review Research 2 (2020).
- [4]
- Y. Liu, W.-J. Li, X. Zhang, M. Lewenstein, G. Su and S.-J. Ran. Entanglement-Based Feature Extraction by Tensor Network Machine Learning. Frontiers in Applied Mathematics and Statistics 7 (2021).
- [5]
- M. S. Santos, R. C. Pereira, A. F. Costa, J. P. Soares, J. A. Santos and P. H. Abreu. Generating Synthetic Missing Data: A Review by Missing Mechanism. IEEE Access 7, 11651–11667 (2019).
- [6]
- E. M. Stoudenmire and D. J. Schwab. Supervised Learning with Quantum-Inspired Tensor Networks (2017), arXiv:1605.05775 [stat.ML].
- [7]
- B. D. Fulcher and N. S. Jones, hctsa: A Computational Framework for Automated Time-Series Phenotyping Using Massive Feature Extraction. Cell Systems 5, 527-531.e3 (2017).