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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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Циклически сбалансированные траектории в модели экономического роста с эндогенным переключением политики

Математическое моделирование. 2018. Т. 30. № 4. С. 3–20.
Akhremenko A. S., Petrov A.

Balanced growth paths are typical research subjects for models of macroeconomic dynamics. Balanced growth paths are model solutions that assume constant policy parameters (such as tax rate) and allow for monotonous and proportional growth of model components. In this paper, we construct and test a model with policy switching based on economic retrospective voting: the model allows to switch parties in office if an electorally important indicator exhibits decline. A change of ruling party brings about a change in policy. If the second party is then voted out of the office, the system experiences endogenous policy switching. Within this framework, we introduce the term "cyclically balanced growth paths", i.e. non-monotonous solutions where the proportionality of components is broken and then restored every political cycle. We conduct the analysis using differential equations theory and numerical experiments

Research target: Political Science, International Relations, and Public Administration Mathematics Economics and Management
Priority areas: economics humanitarian mathematics
Language: Russian
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Keywords: экономический ростдифференциальные уравненияeconomic growthдинамические моделиdifferential equationsretrospective votingретроспективное голосованиеdynamical modeling
Publication based on the results of:
The Impact of Feedback Loops in the State-Society System on the Resource Redistribution and Economic Growth Perspectives in Democratic, Autocratic and Hybrid Regimes (2015)
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