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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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Minorities, Human Capital and Long-Run Development: Persistence of Armenian and Greek Influence in Turkey

2016.
Gokmen G.
In press
We study the long-term economic legacy of highly-skilled minorities a century after their wholesale expulsion. Using mass expulsions of Armenian and Greek communities of the Ottoman Empire in the early 20th century as a unique natural experiment of history, we show that districts with greater presence of Armenian and Greek minorities at the end of the 19th century are systematically more densely populated, more urbanized, and more developed today. Results are robust to accounting for an extensive set of geographical and historical factors of development and minority settlement patterns. Matching type estimators, instrumental variable regressions, and a sub-province level case study corroborate our findings. Importantly, we provide evidence on the channels of persistence. Armenian and Greek contribution to long-run development is largely mediated by their legacy on local human capital accumulation. In comparison, the mediating effect of minority asset transfer on development appears less important.
Priority areas: economics
Language: English
Text on another site
Keywords: economic developmentreligious minoritiespersistencehuman capitalArmeniansGreeksexpulsion
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