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2. ttrecipes: a high-level Python library of tensor train numerical utilities. https://github.com/rballester/ttrecipes
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4. Ballester-Ripoll, R., Paredes, E.G., Pajarola, R.: A surrogate visualization model using the tensor train format. In: SIGGRAPH ASIA 2016 Symposium on Visualization, pp. 13:1–13:8 (2016)
5. Ballester-Ripoll, R., Paredes, E.G., Pajarola, R.: Sobol tensor trains for global sensitivity analysis. ArXiv e-print arXiv:1712.00233 (2017)