Струминский Кирилл Алексеевич

Responsibilities

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

Education and Degrees

2024

Candidate of Sciences* (PhD)
HSE University

2015

Degree in Mathematics
Lomonosov Moscow State University

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.

Supervisor of the following Doctoral theses

for a Candidate of Sciences degree

1
M. Aliev Application of Generative Models to Three-dimensional Reconstruction and Generation

Courses (2021/2022)

Research Seminar "Machine Learning and Applications 2" (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 4 year, 1-3 module)Rus
Research Seminar "Machine Learning and Applications" (Bachelor’s programme; Faculty of Computer Science field of study Applied Mathematics and Information Science; 3 year, 1-4 module)Rus
Past Courses

Dissertation for a Candidate of Sciences degree

2024
K. Struminsky Гарантии обучения и эффективный вывод в задачах структурного предсказания

Employment history

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

27

Oct

2022

‘The Competition Gave Young Researchers an Opportunity to Take the Initiative’

In September, HSE University announced the results of a competition of digital projects by early-career HSE scientists. The event was organised within the framework of the strategic project ‘Digital Transformation: Technologies, Effects, Efficiency’. The organisers selected 8 out of 22 applications. The research teams have already started to implement their projects, and the results will be presented at the end of November. The HSE News Service shares the details of three of the highest-scoring projects in the competition. The creators of the projects are staff members of the HSE Center for Language and Brain, MIEM, and the Faculty of Computer Science.

20

Oct

2021

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.

6

Jan

2019

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).

25

Dec

2018

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.

9

Jun

2017

'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.

Kirill Struminsky