Tensor-train decomposition and its applications in machine learning

Ivan Oseledets
Skolkovo Institute of Science and Technology

In this talk I will overview the application of tensor-train decomposition (and also some other tensor network models) in different machine learning applications, such as compression of neural networks, approximation of high-dimensional distributions and analysis of expressive power of deep neural networks.

Back to Workshop II: Tensor Network States and Applications