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Regular version of the site
Contacts

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

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

computerscience@hse.ru

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

Events
Mar 21 – Mar 23
Papers Submission Deadline: 15 January 2019 
Aug 26 – Aug 30
Registration and Poster Submission deadline — April 1, 2019 
Article
Ontology-Mediated Queries: Combined Complexity and Succinctness of Rewritings via Circuit Complexity

Bienvenu M., Kikot S., Kontchakov R. et al.

Journal of the ACM. 2018. Vol. 65. No. 5. P. 28:1-28:51.

Article
Randomized Block Cubic Newton Method
In press

Doikov Nikita, Richtarik P.

Proceedings of Machine Learning Research. 2018. No. 80. P. 1290-1298.

Article
Particle-identification techniques and performance at LHCb in Run 2
In press

Hushchyn M., Chekalina V.

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 2018. P. 1-2.

Article
Observational evidence in favor of scale free evolution of sunspot groups

Shapoval A., Le Mouël J., Shnirman M. et al.

Astronomy and Astrophysics. 2018. Vol. 618. P. A183-1-A183-13.

Faculty Student Comes 7th in Higgs Boson Machine Learning Challenge

The Higgs Boson Machine Learning Challenge, the largest international competition in data analysis and machine learning came to a close on 15 September. Second year MA computer science MA student Stanislav Semenov won 7th place in the final count, crowning 4 months of intense work.

The Higgs Boson Machine Learning Challenge is held jointly with CERN and is dedicated to the search for the elusive Higgs Boson, using data from the ATLAS collaboration at CERN. The goal is to study potential promising approaches to Machine Learning (ML) to improve the detection significance of the ATLAS experiment.

About 1,800 teams from across the world have taken part in the Higgs Boson Machine Learning Challenge, and the top achievements will be applied in practice at CERN.