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June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
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Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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Emigration from the CIS Countries: Old Intentions—New Regularities

Ch. 5. P. 81–123.
Denisenko M. B.

This chapter summarizes the issues of emigration from the countries that formed the Commonwealth of Independent States immediately after the breakup of the USSR some 25 years ago, to non-CIS countries. It is based on various statistical sources from host countries and migration databases of international organizations (Eurostat, OECD, UN Population Division, UNESCO, UNHCR). The scale of emigration from the former Soviet republics was massive. There were two emigration periods, each having its own geography, intensity, and reasons. The emigration outflow was strongest in the 1990s. Its size and geography were largely determined by the repatriation movement of Germans, Jews, Greeks, and economic and political consequences of the breakup of the USSR. In the 2000s, the geography of emigration from the CIS expanded and become in line with global mobility trends. As a result, new migrant communities emerged in many countries. Permanent residents from post-Soviet countries are especially numerous in Germany, Israel, the USA and Italy.

Language: English
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Keywords: мигрантырепатриацияэмиграцияmigrantsгражданствобеженцы emigrationcitizenshipпостсоветские государстваPost-soviet statesrepatriationrefugeesforeign-born populationуроженцы зарубежных стран

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Migration from the Newly Independent States: 25 years after the collapse of the USSR
Migration from the Newly Independent States: 25 years after the collapse of the USSR
Springer, 2020.
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