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  • Структура российского сообщества экономистов и его отношение к российским экономическим журналам. Ч. 1. Анализ методами латентных классов и теории коллективного выбора
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News
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.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
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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Структура российского сообщества экономистов и его отношение к российским экономическим журналам. Ч. 1. Анализ методами латентных классов и теории коллективного выбора

Проблемы управления. 2019. № 3. С. 30–42.
Egorova L., Myachin A. L.

The paper is focused on the analysis of the structure of Russian academic economic community based on a survey of participants of several Russian economic conferences, and on the analysis of the opinion of this community on some Russian scientific journals on economics and related disciplines. The first part of the work is devoted to the division of the economic community into three main groups: university professors, academic researchers and expert analysts, each of which can be conventionally split into «advanced» and «traditional»specialists. The opinion of the community and its subgroups about scientific importance, prestige and interest in some economic journals was studied and several ratings of these journals were built based on studied opinion.

Priority areas: economics
Language: Russian
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Keywords: теория коллективного выбораэкономические журналыэкономическое сообществолатентные классы
Publication based on the results of:
A study of models of decision-making and analysis of complex structured data (2019)
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