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