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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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Социологические методы в оценке эффектов государственной политики (на примере антимонопольного контроля слияний)

Современная конкуренция. 2013. № 2. С. 3–18.
Sushkevich A. G., Avdasheva S. B., Markin M.

The article is devoted to the ex-post evaluation of the merger approval and the remedy development by Russian competition authority — the Federal Antimonopoly Service (FAS) — using the results of interviews and a sample survey. The analyses and the decisions made by the FAS in several large merger deals completed in 2006–2008 are assessed. The authors explain the comparative advantages of different methods to assess the effects of the public policy employed in Russia, as well as alternative approaches for the evaluation of the effects of the mergers. The data of interviews and sample surveys allow to reject the hypothesis on the restriction of the competition as a result of the merger deals. At the same time the experts are skeptical towards the conditions in the merger remedies and their impact on the market competition.

Priority areas: economics sociology state and public administration
Language: Russian
Full text
Keywords: государственная политикаслиянияпредписания
Publication based on the results of:
A comparative analysis of the basic institutions of Russian, European and US competition law. Vertical agreements assessment. Regulation of public utilities (2013)
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