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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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Модель оценки реального влияния групп и фракций на примере государственной думы РФ третьего созыва

Экономический журнал Высшей школы экономики. 2011. Т. 15. № 1. С. 110–126.
Sokolova A.

The problem of evaluation of the real power of players when they make collective decisions is considered. The new model of the real power evaluation is proposed. The basics of the new model are: modification of the classical power Shapley - Shubik index for accounting of possibility of coalition formation, adding of the new index of the position of coincidence which is evaluating the closeness of the political position of groups and faction, and the new developed index of power efficiency. The index of power efficiency shows to what extend the players exercised their potential power which depends on the number of their votes. Besides, a new way of accounting the impact of cohesion of groups and factions in their final power score is proposed. This model is applied for the evaluation of the power distribution at the Russian State Duma of the 3d convocation.

Priority areas: economics management
Language: Russian
Full text
Keywords: Государственная Думаиндексы влиянияpower indicesCoalition formationRussian parliamentформирование коалиций
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