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  • ЭФФЕКТ ПЕРЕНОСА ВАЛЮТНОГО КУРСА В ПОТРЕБИТЕЛЬСКИЕ ЦЕНЫ В РЕГИОНАХ РОССИИ: ПОИСК ПРОСТРАНСТВЕННЫХ ВЗАИМОСВЯЗЕЙ
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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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ЭФФЕКТ ПЕРЕНОСА ВАЛЮТНОГО КУРСА В ПОТРЕБИТЕЛЬСКИЕ ЦЕНЫ В РЕГИОНАХ РОССИИ: ПОИСК ПРОСТРАНСТВЕННЫХ ВЗАИМОСВЯЗЕЙ

Известия Саратовского университета. Новая серия. Серия: Экономика. Управление. Право. 2021. Т. 21. № 4. С. 398–404.
Pikhteev Y., Корнейченко Е. Н., Новопашина А. Н.

Introduction. The article examines the spatial heterogeneity and factors of the exchange rate pass-through effect in consumer prices in Russian regions. Two hypotheses are tested. The first hypothesis is that there are differences in the magnitude of the pass-through between the Russian regions, the second is the significant influence of spatial relationships between regions on the magnitude of the pass-through effect. Theoretical analysis. The factors of the interregional differences in the pass-through effect are analyzed: the share of imports in the consumption structure, the share of value added produced in the domestic market in the final price of goods, transaction costs, the level of competition and the market structure. Empirical analysis. First pass-through estimates were obtained by means of vector autoregression model. Then the spatial dependence of the exchange rate pass-through was investigated on the basis of the global Moran and Geary indices, LISA, SAR and SEM models. Results. The results indicate the heterogeneity of the pass-through effect in Russian regions, which confirms the first of the hypotheses put forward. Confirmation of the second hypothesis was found only for food products in the short term, which is due to the nature of commodity flows between Russian regions. It is concluded that it is necessary to study the spatial relationships of the pass-through effect based on disaggregated prices.

Research target: Economics and Management
Language: Russian
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Text on another site
Keywords: exchange rateвалютный курсspatial correlationпространственная корреляцияпотребительские ценыvector autoregressionвекторная авторегрессияpass-through effectэффект переносаconsumer pricesspatial error modelмодель пространственной ошибки
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