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  • Оценка мощности непараметрических тестов аксиом выявленного предпочтения и обобщённый непараметрический метод обработки бюджетной статистики
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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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Оценка мощности непараметрических тестов аксиом выявленного предпочтения и обобщённый непараметрический метод обработки бюджетной статистики

С. 23–24.
Klemashev N., Шананин А. А.
Language: Russian
Keywords: generalized nonparametric methodобощенный непараметрический метод

In book

Труды 57-й научной конференции МФТИ — Всероссийской научной конференции с международным участием «Актуальные проблемы фундаментальных и прикладных наук в области физики», Всероссийской молодежной научной конференции с международным участием «Актуальные проблемы фундаментальных и прикладных наук в современном информационном обществе».
Т. 1: Управление и прикладная математика. , М.: МФТИ, 2014.
Similar publications
Positively-homogeneous Konus-Divisia indices and their applications
Klemashev N., Shananin A. A., , in: 26th European Conference on Operational Research, Abstract Book.: Rome: Sapienza Università di Roma, 2013. P. 116–116.
This paper is devoted to the estimation of the power of nonparametric tests of the consistency of observed data on consumption and prices with one of the two axioms. These are Generalized Axiom of Revealed Preference (GARP) and Homogeneous Axiom of Revealed Preference (HARP). Our approach differs from existing ones in both the way of ...
Added: March 5, 2019
Analysis of 2015 Chinese stock market crash by means of generalized nonparametric method
Klemashev N., Shananin A. A., , in: VIII Moscow International Conference on Operations Research (ORM2016)Vol. 1.: M.: Max press, 2016. P. 99–102.
Added: March 5, 2019
Анализ кризиса на фондовом рынке Китая с помощью неоклассической модели потребительского спроса
Klemashev N., Труды Московского физико-технического института 2018 Т. 10 № 2 С. 99–108
In this paper I study the crisis on Chinese stock market in the end of August 2015. I show that the crisis may be described as the change of preferences of the main investors, and that during several months one needs to consider two representative consumers with different utility functions in order to describe the ...
Added: March 5, 2019
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