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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'). 

Article
Linear switched dynamical systems on graphs
In print

Protasov V. Y., Cicone A., Guglielmi N.

Nonlinear Analysis: Hybrid Systems. 2018. Vol. 29. P. 165-186.

Article
Final Results of the OPERA Experiment on ντ Appearance in the CNGS Neutrino Beam

Ustyuzhanin A.

Physical Review Letters. 2018. Vol. 120. No. 21. P. 211801-1-211801-7.

Article
Qualitative Judgement of Research Impact: Domain Taxonomy as a Fundamental Framework for Judgement of the Quality of Research

Murtagh F., Orlov M. A., Mirkin B.

Journal of Classification. 2018. Vol. 35. No. 1. P. 5-28.

Article
Predictive Model for the Bottomhole Pressure based on Machine Learning
In print

Spesivtsev P., Sinkov K., Sofronov I. et al.

Journal of Petroleum Science and Engineering. 2018.

Article
New and old results on spherical varieties via moduli theory

Roman Avdeev, Cupit-Foutou S.

Advances in Mathematics. 2018. Vol. 328. P. 1299-1352.

News

DeepBayes 2018: More Bayesian Methods in Deep Learning

The second Summer School on Deep Learning and Bayesian Methods was held in Moscow from August 27 to September 1, this year in English. During 6 days participants were studying and implementing Bayesian methods in neural networks, exchanging their experience and discussing research ideas.

Mini-workshop Stochastic Processes and Probabilistic Models in Machine Learning

On September 12 and 13, a mini-workshop "Stochastic processes and probabilistic models in machine learning" was held at the faculty. Four invited foreign specialists gave lectures about the application of parametric and nonparametric probabilistic methods in machine learning, and representatives of Russian scientific groups told about particular projects where these approaches are used.

Bayesian Methods in Deep Learning Summer School in Moscow

Bayesian Methods in Deep Learning Summer School was held in Moscow fron 26 to 30 August. During these five days 96 participants from 8 countries listened to lectures about Bayesian methods in deep learning and trained neural networks.

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.