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News
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.
July 6, 2026
Ancient Craniiform Brachiopod: A Newly Discovered Species with a Unique Shell Shape and Lifestyle
Scientists from HSE University, MSU, and Tallinn University of Technology have studied a fossil species of ancient brachiopods that lived in a warm sea in what is now northern Estonia more than 445 million years ago. These ancient brachiopods developed a cup-shaped shell with a protective 'cap' that shielded them from overgrowth by other marine organisms. The study has been published in Palaeogeography, Palaeoclimatology, Palaeoecology.

 

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Mathematical Optimization Theory and Operations Research: Recent Trends. 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Revised Selected Papers

Springer, 2022.
Chapters
Variational Autoencoders for Precoding Matrices with High Spectral Efficiency
Bobrov E., Markov A., Panchenko S. et al., , in: Mathematical Optimization Theory and Operations Research: Recent Trends. 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Revised Selected Papers.: Springer, 2022. Ch. 22 P. 315–326.
Neural networks are used for channel decoding, channel detection, channel evaluation, and resource management in multi-input and multi-output (MIMO) wireless communication systems. In this paper, we consider the problem of finding precoding matrices with high spectral efficiency (SE) using variational autoencoder (VAE). We propose a computationally efficient algorithm for sampling precoding matrices with minimal loss ...
Added: November 1, 2022
Research target: Mathematics
Language: English
Text on another site
Keywords: MIMO
Mathematical Optimization Theory and Operations Research: Recent Trends. 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Revised Selected Papers
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Variational Autoencoders for Precoding Matrices with High Spectral Efficiency
Bobrov E., Markov A., Panchenko S. et al., , in: Mathematical Optimization Theory and Operations Research: Recent Trends. 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Revised Selected Papers.: Springer, 2022. Ch. 22 P. 315–326.
Neural networks are used for channel decoding, channel detection, channel evaluation, and resource management in multi-input and multi-output (MIMO) wireless communication systems. In this paper, we consider the problem of finding precoding matrices with high spectral efficiency (SE) using variational autoencoder (VAE). We propose a computationally efficient algorithm for sampling precoding matrices with minimal loss ...
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Added: January 30, 2018
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