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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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Официальная и субъективная бедность в России: влияние событий 2020-2021 гг.

Социологические исследования. 2023. № 10. С. 78–90.
Belopashentseva P.

The article examines the impact of 2020–2021 events on official and subjective poverty.
The expediency of using the term “official poverty” to refer to all methodological approaches (absolute
until 2021 and relative from 2021) used by the government to establish the poverty line is substantiated.
Based on the data of the Russian monitoring of the economic situation and health of the population of
the National Research University Higher School of Economics, it is shown that official poverty showed
an atypical decline during the crisis period, which, as might have been expected, was the result of
a change in the methodology for determining the poverty line and the impact of social policy measures.
Subjective poverty kept the pre-crisis level. The relation between officially and subjectively poor groups
remained stable, the group portraits also did not show significant transformations, and the changes in
living conditions are largely related to the habits of the self-isolation period. The revealed differences
in the scale and dynamics of official and subjective poverty once again emphasize the importance of
a multidimensional analysis.

Research target: Sociology (including Demography and Anthropology
Language: Russian
DOI
Text on another site
Keywords: poverty linesdeprivationдепривацииабсолютная бедностьabsolute povertysubjective povertyсубъективная бедностьграница бедностиofficial povertyофициальная бедность
Publication based on the results of:
Transformation of the living standard and quality of life of various social groups in changing macroeconomic conditions (2023)
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