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Regular version of the site
Language Proficiency
English
Contacts
Phone:
27269
E-mail:
Address: 11 Pokrovsky Bulvar, Pokrovka Complex, room S837
Timetable
Download CV (PDF, 34 Kb)
ORCID: 0000-0002-1830-8252
ResearcherID: M-3540-2016
Scopus AuthorID: 55365536600
Google Scholar
Office hours
Tuesday 12pm - 02pm
Supervisor
M. A. Babenko
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Artem Babenko

  • Artem Babenko has been at HSE University 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 (2019/2020)

Courses (2018/2019)

Advanced Statistical Learning Theory (Master’s programme; Faculty of Computer Science; 1 year, 1, 2 module)Rus

Courses (2015/2016)

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

Publications

20193

  • Chapter Mazur D., Egiazarian V., Morozov S., Babenko A. Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs, in: Advances in Neural Information Processing Systems 32 (NeurIPS 2019). , 2019. P. 1-11.
  • Chapter Баранчук Д. А., Persiyanov D., Sinitsin A., Babenko A. Learning to Route in Similarity Graphs, in: International Conference on Machine Learning (ICML 2019). PMLR, 2019. P. 475-484.
  • Chapter Morozov S., Babenko A. Unsupervised neural quantization for compressed-domain similarity search, in: Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019). IEEE, 2019. P. 3036-3045.

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

Yandex and HSE University Open Joint Laboratory

The new laboratory will be part of the Faculty of Computer Science. The laboratory will focus on training professional researchers and conducting research in the field of data science.

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.