A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
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Updated
Jul 5, 2024 - Python
A framework based on the tensor train decomposition for working with multivariate functions and multidimensional arrays
Gradient-free optimization method for multivariable functions based on the low rank tensor train (TT) format and maximal-volume principle.
A Python Package for Advanced Tensor Learning
Model identifiability pipeline using surrogate models trained on a latent space extracted by tensor decompositions.
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