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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.

News

Faculty of Computer Science to Launch New Theoretical Computer Science Lab

This year, the HSE Faculty of Computer Science is opening an international theoretical computer science laboratory, which will be the new research division of the Big Data and Information Retrieval School. One of the lab’s main objectives is to help bring the Russian school of theoretical computer science to the world stage.