Konstantin Sobolev

Research Intern

Skolkovo Institute of Science and Technology

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Scientific interests

Konstantin's recent project is concentrated on applying tensor low-rank approximation methods for acceleration and compression of Convolutional Neural Network architectures. Konstantin work on the applications of low-rank tensor methods to DNNs acceleration and compression.

Publications since 2016