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Regular version of the site
Language Proficiency
English
Contacts
Phone:
123
E-mail:
Address: Kochnovsky proezd, 3, 625
Timetable
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Scopus AuthorID: 57193486500
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Office hours
10-19
Supervisor
D. Vetrov
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Arsenii Ashukha

  • Arsenii Ashukha has been at HSE since 2017.

Responsibilities

Conduction of the research on neurobayesian methods, work on laboratory's industrial projects, scientific papers writing 

Education

2015

Bachelor in Applied Mathematics and Information Science
N.E. Bauman Moscow State Technical University

Courses (2017/2018)

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

Publications2


Employment history

2017-present, HSE, Moscow, Intern Researcher at Bayesian Deep Learning Lab

Jun 2016-Aug 2016, Yandex, Moscow, Intern at Music Deep Learning Group

Dec 2013 - Feb 2016, Rambler, Moscow, R&D Engineer at Machine Learning Group

Jun- Aug 2013, Rambler, Moscow, Intern at Search Group

 

Timetable for today

Full timetable

How to Adjust a Smaller Size Neural Network without Quality Loss

Staff members of the HSE Faculty of Computer Science recently presented their papers at the biggest international conference on machine learning, Neural Information Processing Systems (NIPS)’.

How to Adjust a Smaller Size Neural Network without Quality Loss

Staff members of the HSE Faculty of Computer Science recently presented their papers at the biggest international conference on machine learning, Neural Information Processing Systems (NIPS)’.

Faculty of Computer Science Staff Attend International Conference on Machine Learning 

On August 6-11 the 34th International Conference on Machine Learning was held in Sydney, Australia. This conference is ranked A* by CORE, and is one of two leading conferences in the field of machine learning. It has been held annually since 2000, and this year, more than 1,000 participants from different countries took part.

Machines Can See: International Summit on Computer Vision

On June 9, a summit was held on computer vision and deep learning ‘Machines can see’, organized by Sistema VC, Visionlabs, and the Strelka Institute. Dmitry Vetrov and Anton Konushin, staff members of HSE Faculty of Computer Science, were among the organizers of and speakers at the conference.

Variational dropout sparsifies DNNs paper has been accepted to ICML'17

The paper authored by laboratory's research assistants Dmitry Molchanov and Arsenii Ashukha and head Dmitry Vetrov has been accepted to the International Conference on Machine Learning'2017. In this research a state-of-the-art result in deep neural networks sparsification was achieved using Bayesian framework applied to deep learning.