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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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Макроэкономический консенсус-прогноз в контексте пандемии

Гл. 5.11. С. 394–403.
Akindinova N., Kondrashov N. V., Smirnov S. V.

How has the COVID-19 pandemic affected the medium-term (2020-2021) and long-term prospects of the Russian economy? Regular surveys of professional macro-forecasters and consensus forecasts calculated on their basis
allow us to talk about averaged sentiments and expectations of the expert community (in the same sense as it is used to talk about entrepreneurial or consumer sentiments and expectations).
Based on surveys conducted by the HSE 'Development Center' Institute in early February and early May 2020, this Chapter analyzes how the pandemic has affected experts' outlooks of the Russian economy.

Language: Russian
Full text
Text on another site
Keywords: макроэкономические индикаторыконсенсус-прогнозmacroeconomic indicatorsConsensus forecastCOVID-19 pandemicпандемия COVID-19
Publication based on the results of:
Analysis of key factors determining the prospects of the Russian economy, and forecasting the macroeconomic situation (2020)

In book

Общество и пандемия: опыт и уроки борьбы с COVID-19 в России
М.: [б.и.], 2020.
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