• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
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.

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.

Celebrating 4 Years with Coursera: HSE’s New Online Courses

By early spring, HSE will have launched a range of new courses on Coursera in psychology, computer language analysis, economics, media and international relations.

Laboratory of Theoretical Computer Science Researchers Get Grant from RFBR and Royal Society

Researchers from the HSE Laboratory of Theoretical Computer Science have won a competition organized by the Russian Foundation for Basic Research (RFBR) and the Royal Society of London for Improving Natural Knowledge.

HSE Launches Two New Specializations in Computer Science on Coursera

‘Introduction to Discrete Mathematics for Computer Science’ and ‘Advanced Machine Learning’ are English-language specializations, both created with the support of the top Russian IT firm Yandex, while the specialization ‘Introduction to Discrete Mathematics for Computer Science’ was developed with the involvement of the University of California at San Diego.

The staff member of the laboratory participated in the workshop “Aperiodicity and Hierarchical Structures in Tilings”

Guilhem Gamard, research fellow of the international laboratory of theoretical computer science, took part in the workshop in Lyon, France.

Collaboration with Samsung Opens New Perspectives for the Laboratory and the Faculty

Dmitry Vetrov, head of the laboratory, held a meeting with Mr. Shi-Hwa Lee, a Vice-President of Samsung, a company the laboratory collaborates with. Interim research results, internship possibilities and collaboration perspectives were discussed.

HSE Students Get Gold, Silver and Bronze in International Mathematical Competition

HSE’s team has won four gold, one silver and one bronze medal at the International Mathematical Competition for University Students (IMС 2016), the most representative mathematics contest for university students. The team included students from the Faculty of Computer Science and the Faculty of Mathematics.

Workshop on Theoretical Computer Science

On April 6-8 the laboratory held Workshop on Theoretical Computer Science. The workshop was a part of Computer Science Days and the celebration of the faculty's birthday.

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.

A Chance to Work with the Best Experts on Algorithmic Information Theory

Bruno Bauwens, an expert in Kolmogorov complexity, is a new recruit at the HSE Faculty of Computer Science. He started in September 2015. Bruno received his PhD from Ghent University in Belgium, after which he held postdoctoral fellowships at Porto University (Portugal), as well as at the University of Montpellier and University of Lorraine.

Tensorizing Deep Neural Networks

The article ‘Tensorizing Neural Networks’, prepared by the Bayesian Methods Research Group under the supervision of Associate Professor of HSE’s Computer Science Faculty Dmitry Vetrov, has been accepted by the NIPS conference – the largest global forum on cognitive research, artificial intelligence, and machine learning, rated A* by the international CORE ranking. This year it is being held December 7-12 in Montreal. Here Dmitry Vetrov talks about the research he presented and about why delivering reports at conferences is better than getting published in the academic press. 
All news