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.

Tensor Trains, mostly as probability distributions

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.

A PyTorch implementation of the deep inverse Rosenblatt transport (DIRT) algorithm.

Manipulate quantum states in the Tensor Train format