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Regular version of the site
Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administrations
First Deputy Dean Tamara Voznesenskaya
Deputy Dean for Research and International Relations Sergei Obiedkov
Deputy Dean for Methodical and Educational Work Ilya Samonenko
Deputy Dean for Development, Finance and Administration Irina Plisetskaya
Article
Infinite transitivity, finite generation, and Demazure roots

Arzhantsev I., Kuyumzhiyan K., Zaidenberg M.

Advances in Mathematics. 2019. Vol. 351. P. 1-32.

Article
Bias in False Discovery Rate Estimation in Mass-Spectrometry-Based Peptide Identification

Sulimov P., Voronkova A., Danilova Y. et al.

Journal of Proteome Research. 2019. Vol. 18. No. 5. P. 2354-2358.

Article
Compression of recurrent neural networks for efficient language modeling

Grachev A., Ignatov D. I., Savchenko A.

Applied Soft Computing Journal. 2019. Vol. 79. P. 354-362.

Book chapter
Numerical Pattern Mining Through Compression

Makhalova T., Kuznetsov S., Napoli A.

In bk.: 2019 Data Compression Conference Proceedings. IEEE, 2019.

News

The 6th International Conference on Analysis of Images, Social Networks and Texts Held in Moscow

The 6th International Conference on Analysis of Images, Social Networks and Texts was held on July 27-29 in Moscow with the support of the Higher School of Economics. This year 130 papers from different universities, including many international ones, were submitted for the conference. The best works were selected by renowned experts in data analysis from all over the world; these papers will be included in the conference proceedings and published in the series ‘Lecture Notes in Computer Science’ issued by Springer.

HSE Researchers Receive a Grant to Search for New Physics

HSE Researchers Receive a Grant to Search for New Physics
A team of researchers from the HSE Laboratory of Methods for Big Data Analysis (LAMBDA) has won a contest held by the Presidential Research Funding Programme. Researchers with the laboratory are developing a system of algorithms that will help physicists look for new particles in the Large Hadron Collider.

Designing Interaction with Mobile Devices: New HSE Course Now Available on Coursera

A new English-taught course offered by the HSE Faculty of Computer Science kicks off on Coursera on July 17, 2017: Mobile Interaction Design: How to Design Usable Mobile Products and Services. Its author is Pavel Manakhov, Associate Professor at the HSE School of Software Engineering and Lead Interaction Designer at UsabilityLab.

Students from HSE Computer Science Faculty Win BlockchainHack Hackathon

Students from HSE Computer Science Faculty Win BlockchainHack Hackathon
BlockchainHack, Russia's largest hackathon focusing on the development of block chain projects, took place in Moscow on the 1st and 2nd of July. Seniors from the HSE Faculty of Computer Science took home the grand prize of $50,000.

Computer Science Faculty Hosts Conference on Theoretical Computer Science

On June 14 the workshop ‘Complexity of Computation, Communication, Descriptions, and Proofs’, organized by the Laboratory of Theoretical Computer Science, was held at HSE Faculty of Computer Sciences. The conference was organized as part of the major international conference ‘Computer Science in Russia’.

Machines Can See: International Summit on Computer Vision

Machines Can See: International Summit on Computer Vision
On June 9, a summit was held on computer vision and deep learning ‘Machines can see’, organized by Sistema VC, Visionlabs, and the Strelka Institute. Dmitry Vetrov and Anton Konushin, staff members of HSE Faculty of Computer Science, were among the organizers of and speakers at the conference.

'Machine Learning Algorithm Able to Find Data Patterns a Human Could Not'

Staff from the International Laboratory of Deep Learning and Bayesian Methods
In December 2016, five new international laboratories opened up at the Higher School of Economics, one of which was the International Laboratory of Deep Learning and Bayesian Methods. This lab focuses on combined neural Bayesian models that bring together two of the most successful paradigms in modern-day machine learning – the neural network paradigm and the Bayesian paradigm.

Faculty of Computer Science Organized Event for Radboud University Students

Faculty of Computer Science Organized Event for Radboud University Students
From April 20 – 30, 2017, students from Radboud University Nijmegen took part in a cultural and educational programme organized by the Faculty of Computer Science as part of the ‘Information and Computer Technology in Different Cultures’ course.

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

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 Win International Competition in Computer Security

HSE Students Win International Competition in Computer Security
Team HSE has taken second place at RuCTF - a leading information security competition. The championship was held in Ekaterinburg on April 14-17, 2017. RuCTF (‘Capture the Flag’) is an annual open all-Russian interuniversity competition and conference on information security. The event has been held annually since 2008.