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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

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.

Tag "Centre of Deep Learning and Bayesian Methods" – News

The faculty presented the results of their research at the largest international machine learning conference NeurIPS

The faculty presented the results of their research at the largest international machine learning conference NeurIPS
Researchers of the Faculty of Computer Science presented their papers at the annual conference of Neural Information Processing Systems (NeurIPS), which was held from 2 to 8 December 2018 in Montreal, Canada.

DeepBayes 2018: More Bayesian Methods in Deep Learning

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

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 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

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.