• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site
Language Proficiency
English
Contacts
Phone:
+7 916 620 66 24
E-mail:
Download CV
ORCID: 0000-0002-6907-0635
ResearcherID: O-9686-2016
Scopus AuthorID: 56462166000
Google Scholar
Supervisor
D. Vetrov
Printable version

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Alexander Novikov

  • Alexander Novikov has been at HSE since 2015.

Responsibilities

Conducting research in the area of tensor neural networks, convolutional networks acelerating and K-FAC optimization.

Education

2015

Diploma in Applied math and computer science
Lomonosov Moscow State University, computational mathematics and cybernetics

Continuing education / Professional retraining / Internships / Study abroad experience

Google USA, Mountain View, CA July 2014 — October 2014

Software Engineering Intern

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2017)

Publications6


Employment history

Skolkovo Institute of Science and Technology, Junior Research Scientist, October 2014 — September 2015

 

HSE and Yandex launched a new English specialization on Coursera: Advanced Machine Learning

In this specialization the listeners will complete the courses on deep learning, Bayesian methods, reinforcement learning, natural language processing etc. Alexander Novikov, research fellow of the laboratory, is a lecturer of Bayesian Methods course.

'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.