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  • ТЕОРИИ ПРОПОРЦИОНАЛЬНОГО И ПРОГРЕССИВНОГО НАЛОГООБЛОЖЕНИЯ: ПРАКТИКА ПРИМЕНЕНИЯ
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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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ТЕОРИИ ПРОПОРЦИОНАЛЬНОГО И ПРОГРЕССИВНОГО НАЛОГООБЛОЖЕНИЯ: ПРАКТИКА ПРИМЕНЕНИЯ

Международный бухгалтерский учет. 2018. Т. 21. № 11 (449). С. 1267–1280.
Kosov M., Бондаренко Н. О.

Subject This article examines the procedure of calculating the personal income tax, analyzes possibilities of introduction of progressive taxation, income tax problems in Russia and ways to solve them. Objectives The article aims to define the basic aspects of the existing model of personal income taxation, develop original proposals within the framework of transition to a progressive scale of taxation and further reforming the tax system. Methods For the study, we used the methods of comparison, modeling, generalization, and the statistical method. As well, we studied and analyzed scientific papers and educational materials on the range of problems under study. Results The article identifies problems and determines the prospects of the income tax system in Russia. It offers a model of income distribution by taxpayer category, which simplifies the process of creating and improving the system of tax rates. On its basis, a new system of personal income tax rates in Russia has been developed. Conclusions The article makes conclusions about disadvantages of proportional taxation, justifies the expediency of transition to a progressive scale of personal income tax taking into account the main lines of tax, budgetary and social policies of the State. Additionally, the article discusses the introduction of a tax-exempt minimum and implementation of a number of other reforms.

Priority areas: economics
Language: Russian
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Keywords: налоговая системаtax rateналоговая ставкаподоходное налогообложениеprogressive taxationtax systemproportional taxation income taxationtax-free allowanceнеоблагаемый минимумтеории пропорционального и прогрессивного налогообложения
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