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Regular version of the site
Working paper
Spatially Adaptive Computation Time for Residual Networks

Figurnov M., Collins M. D., Zhu Y. et al.

arXiv:1612.02297. arXiv. Cornell University, 2016

Book chapter
Computing majority by constant depth majority circuits with low fan-in gates

Kulikov A., Podolskii V. V.

In bk.: 34th Symposium on Theoretical Aspects of Computer Science (STACS 2017). March 8–11, 2017, Hannover, Germany. Vol. 66. Leipzig: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 2017. P. 1-14.

Book chapter
GANs for Biological Image Synthesis

Osokin A., Chessel A., Carazo Salas R. E. et al.

In bk.: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2017). Venice: IEEE, 2017. P. 2252-2261.

Article
Correction to the leading term of asymptotics in the problem of counting the number of points moving on a metric tree

V.L. Chernyshev, Tolchennikov A.

Russian Journal of Mathematical Physics. 2017. Vol. 24. No. 3. P. 290-298.

Book chapter
Stochasticity in Algorithmic Statistics for Polynomial Time

Vereshchagin N., Milovanov A.

In bk.: 32nd Computational Complexity Conference. Вадерн: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, Dagstuhl Publishing, 2017. P. 1-18.

About the Department

The department was created in 2014 simultaneously with the Faculty of Computer Science on the basis of the Joint Department with Yandex, which was part of the faculty. From the moment of creation till September 2015 the Department of Big Data and Information Retrieval was headed by Associate Professor Dmitry Vetrov, Ph.D. Starting September 2015 the department is headed by Senior Researcher of Steklov Mathematical Institute Vladimir Podolskii, Ph.D. The department is centred around research groups, leading world-class research in the field of machine learning, distributed computing, scalable algorithms for processing large datasets, computer vision, text processing, information retrieval and graphical models. Department staff members are regularly published at prestigious international IT conferences. Additionally, there are interning opportunities for undergraduate and graduate students both at Russian and foreign IT companies (Yandex, Kaspersky Lab, Google, ABBYY, Microsoft, etc.), as well as in leading research groups at universities around the world (ETH Zurich, MIT, EPFL Lausanne, and others).

Together with the Yandex School of Data Analysis, department employees have developed a joint specialization – Internet Data Analysis, which is part of the Data Sciences master’s programme. The department has also created the Applied Mathematics and Information Science bachelor’s programme.