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Ivan Oseledets: "Tensor-train decomposition and its applications in machine learning"

Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop II: Tensor Network States and Applications "Tensor-train decomposition and its applications in machine learning" Ivan Oseledets - Skolkovo Institute of Science and Technology Abstract: 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. Institute for Pure and Applied Mathematics, UCLA April 21, 2021 For more information: https://www.ipam.ucla.edu/tmws2