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Contacts

109028, Moscow,
11, Pokrovsky boulevard

Phone: +7 (495) 531-00-00 *27254

Email: computerscience@hse.ru

 

Administration
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
Book chapter
Towards Understanding and Answering Comparative Questions

Bondarenko A., Ajjour Y., Dittmar V. et al.

In bk.: WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), 2022. P. 66-74.

Article
Empirical Variance Minimization with Applications in Variance Reduction and Optimal Control

Belomestny Denis, Iosipoi L., Paris Q. et al.

Bernoulli: a journal of mathematical statistics and probability. 2022. Vol. 28. No. 2. P. 1382-1407.

Book chapter
Exponential savings in agnostic active learning through abstention

Puchkin N., Zhivotovskiy N.

In bk.: Proceedings of Machine Learning Research. Vol. 134: Conference on Learning Theory. PMLR, 2021. P. 3806-3832.

Article
Measurement of the W boson mass

Derkach D., Maevskiy A., Karpov M. et al.

Journal of High Energy Physics. 2022. P. 1-38.

Book chapter
Empirical Study of Transformers for Source Code

Chirkova N., Troshin S.

In bk.: ESEC/FSE 2021: Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery (ACM), 2021. P. 703-715.

Tag "achievements" – News

‘I Like to Think that the Solutions We Find Can Help People in the Future’

Innopolis University
Innopolis University has announced the results of Global Al Challenge, an international AI industry online hackathon in which teams of developers compete to create new materials using artificial intelligence. The DrugANNs team, which included students from the HSE University Faculty of Computer Science, took third place.

HSE University Computer Science Teams Place First and Second in NERC ICPC 2022

Team Undertrained+Overpressured
Two teams from the HSE University Faculty of Computer Science (FCS) in Moscow have taken first and second place in the semi-finals of the 2022 International Collegiate Programming Contest (ICPC). The last time a single university took both first and second place was in 1997. Almost 250 teams took part in the event, five of which were from HSE University in Moscow. A team from HSE University in St Petersburg took fourth place. The winning team was awarded the winner’s trophy of the ICPC semi-finals, while the HSE University teams that placed second and fourth won gold medals.

HSE University Project Wins Russian-Indian Grant by RSF

HSE University Project Wins Russian-Indian Grant by RSF
The research community gave a highly positive assessment of a joint application by researchers from HSE University and their Indian colleagues in affine algebraic geometry, particularly the problems of cancellation. The head of the project on the Russian side is HSE FCS Dean Ivan Arzhantsev; on the Indian side, the project is led by renowned mathematician Neena Gupta.

HSE Students Win Bronze in International Programming Contest

HSE Students Win Bronze in International Programming Contest
Fourth-year HSE students Ivan Safonov and Mikhail Anoprenko of the Faculty of Computer Science have won a bronze award in the International Collegiate Programming Contest. The competition finals were held in Moscow on October 5. Students from HSE University’s campuses in Moscow and St. Petersburg took part in the competition, with the team from Russia’s second city placing 19th overall.

HSE University Receives Government Grant to Create AI Research Centre

HSE University Receives Government Grant to Create AI Research Centre
A competition of research centres looking to receive grants through the Artificial Intelligence federal project has concluded, and HSE University is among the winners. Winning centres will focus on developing new AI technologies that expand its application, overcoming existing limitations for solving applied problems and optimizing AI models.