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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

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
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.

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.