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+7 (495) 772-95-90
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S822
SPIN-RSCI: 9122-8470
ORCID: 0000-0002-7711-7069
ResearcherID: O-7132-2015
Scopus AuthorID: 57192574102
Google Scholar
V. V. Podolskii
E. Sokolov
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Kirill Struminsky

  • Kirill Struminsky has been at HSE University since 2016.


To conduct research in the area of deep generative modeling and related areas of deep learning.



Degree in Mathematics
Lomonosov Moscow State University

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)


Employment history

Yandex School of Data Analysis, teaching assistant. 2017 - Present

Timetable for today

Full timetable

Faculty Submits Ten Papers to NeurIPS 2021

35th Conference on Neural Information Processing Systems (NeurIPS 2021) is one of the world's largest conferences on machine learning and neural networks. It takes place on December 6-14, 2021.

The faculty members will present their research on ICLR and AISTATS conferences

One paper will be presented at AISTATS (Japan, April 2019) and three papers will be presented at ICLR (USA, May 2019).

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.

'Machine Learning Algorithm Able to Find Data Patterns a Human Could Not'

In December 2016, five new international laboratories opened up at the Higher School of Economics, one of which was the International Laboratory of Deep Learning and Bayesian Methods. This lab focuses on combined neural Bayesian models that bring together two of the most successful paradigms in modern-day machine learning – the neural network paradigm and the Bayesian paradigm.