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.

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