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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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Тематика фельетонов о Новом Поэте и ее диахронические трансформации

Шаги/Steps. 2024. № 3. С. 178–206.
Вожик Е. И., Лисюков Р. А.

The article discusses the thematic range of feuilletons featuring the New Poet published in the Sovremennik magazine between 1847 and 1862, as well as the changes in their thematics over time. An analysis of the content of these feuilletons shows that their authors, including Ivan Panaev, were well aware of the existing tradition of the feuilleton genre and at first adhered to its conventions. However, over time, they moved away from conventional, genre-specific approaches to selecting feuilleton topics and adapted the notes about the New Poet to current events. The feuilleton authors of Sovremennik sought to develop an idealized image of a writer who represented the project of a new literature during the last years of the reign of Nicholas I, as who was an active member of society during the Great Reforms era — a person familiar with contemporary public debates. In addition, Panaev and his co-authors rely on the gradual expansion of the thematic diversity in the feuilleton genre, trying to orient the reader in a larger context of events and perspectives. The main methods used in the article are structural topic modeling, which highlights broad subject-semantic fields, as well as assessment of information entropy that indicates the degree of diversity in the feuilleton themes.

Language: Russian
DOI
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Keywords: тематическое моделированиежурнал "Современник"фельетонИван Панаев
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