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.

Solver in the low-rank tensor train format with cross approximation approach for the multidimensional Fokker-Planck equation

A Python package for numerical quantum mechanics of chain-like systems based on tensor trains

Implementation of algorithms in "Orthogonal Decomposition of Tensor Trains" (Halaseh, Muller, Robeva)

Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.

Numerical experiments for Optima-TT method from teneva python package. This method finds items which relate to min and max elements of the tensor in the tensor train (TT) format.

Manipulate quantum states in the Tensor Train format

Tensor Trains, mostly as probability distributions