• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Contacts

125319, Moscow,
3 Kochnovsky Proezd (near metro station 'Aeroport'). 

Phone: +7 (495) 772-95-90 *12332

Email: computerscience@hse.ru

 

Administrations

Dean Ivan Arzhantsev

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

Events
Jun 12 – Jun 14
submission: 1 May 2019  
Aug 26 – Aug 30
Registration and Poster Submission deadline — May 1, 2019 
Article
Branching rules related to spherical actions on flag varieties
In press

Roman Avdeev, Petukhov A.

Algebras and Representation Theory. 2019.

Article
Minimax theorems for American options without time-consistency

Belomestny D., Kraetschmer V., Hübner T. et al.

Finance and Stochastics. 2019. Vol. 23. P. 209-238.

Article
Separable discrete functions: Recognition and sufficient conditions

Boros E., Cepek O., Gurvich V.

Discrete Mathematics. 2019. Vol. 342. No. 5. P. 1275-1292.

Article
Cherenkov detectors fast simulation using neural networks

Kazeev N., Derkach D., Ratnikov F. et al.

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2019.

Book chapter
Averaging Weights Leads to Wider Optima and Better Generalization

Izmailov P., Garipov T., Подоприхин Д. А. et al.

In bk.: Proceedings of the international conference on Uncertainty in Artificial Intelligence (UAI 2018). 2018. P. 876-885.

News

Faculty of Computer Science Staff Attend International Conference on Machine Learning

Faculty of Computer Science Staff Attend International Conference on Machine Learning
On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

Third Machine Learning Summer School Held in UK

Third Machine Learning Summer School Held in UK
On July 17-23 the Third Machine Learning summer school organized by Yandex School of Data Analysis, Laboratory of Methods for Big Data Analysis at the National Research University Higher School of Economics and Imperial College London was held in Reading, UK. 60 students, doctoral students and researchers from 18 countries and 47 universities took part in the event.

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.