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Regular version of the site
Language Proficiency
English
Contacts
Phone:
+7(495) 772-9590 доб. 22009
E-mail:
Address: Moscow 125319, 3 Kochnovskiy Proezd, 607
Timetable
Download CV (PDF, 34 Kb)
ORCID: 0000-0002-1830-8252
ResearcherID: M-3540-2016
Scopus AuthorID: 55365536600
Google Scholar
Working hours
Tuesday 12pm - 02pm
Supervisor
M. A. Babenko
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Artem Babenko

  • Artem Babenko has been at HSE since 2014.

Education and Degrees

  • 2017

    Candidate of Sciences* (PhD)

  • 2012

    Master's
    Moscow Institute of Physics and Technology

* 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.

Student Term / Thesis Papers

Full list of of student term / thesis papers

Courses (2018/2019)

Courses (2017/2018)

Courses (2016/2017)

Courses (2015/2016)

Courses (2014/2015)

Data Analysis (Bachelor’s programme; Faculty of Computer Science; 3 year, 3, 4 module)Rus

Publications

20181

Chapter Babenko A., Baranchuk D., Malkov Y. Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors, in: 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings. Springer, 2018. doi P. 1-15. (in press)

20172

20161

Chapter Babenko A., Lempitsky V. Efficient Indexing of Billion-Scale datasets of deep descriptors, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVRP 2016). Curran Associates, Inc., 2016. P. 2055-2063.

20153

20143

  • Chapter Babenko A., Lempitsky V. Additive Quantization for Extreme Vector Compression, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014). Columbus : IEEE Computer Society, 2014. P. 931-938.
  • Chapter Babenko A., Slesarev A., Chigorin A., Lempitsky V. Neural Codes for Image Retrieval, in: Lecture Notes in Computer Science. Proceedings of the 13th European Conference on Computer Vision (ECCV 2014) Vol. 8689. Part 1. Zürich : Springer, 2014. P. 584-599.
  • Article Babenko A. The Inverted Multi-Index // IEEE Transactions on Pattern Analysis and Machine Intelligence. 2014. Vol. PP. No. 99. P. 1.

20121

Chapter Babenko A., Lempitsky V. The inverted multi-index, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012). Providence : IEEE, 2012. P. 3069-3076.

Timetable for today

Full timetable

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.