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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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Search for Correlations and Study of Selection Effects When Analyzing a Sample of Supernovae Associated with Gamma-Ray Bursts

Astronomy Letters. 2024. Vol. 50. No. 12. P. 701 – 731.
S. O. Belkin, A. S. Pozanenko

We present the most complete up-to-date sample of supernovae associated with gamma-ray bursts (GRB-SNe) for which the peak time of the SN light curve and the peak absolute magnitude have been found. The sample contains 44 SNe. We have searched for correlations between the parameters of the GRB-SN $$V$$-band brightness peak (the rest-frame $$V$$-band absolute magnitude $$M_{V}$$) and the rest-frame $$V$$-band peak time $$T_{\textrm{max}}$$ as well as between them and GRB prompt emission parameters ($$T_{90,i}$$, $$E_{\textrm{iso}}$$, $$E_{p,i}$$). Any correlations between any pairs of parameters cannot be confirmed at a statistically significant level. A separation into two groups is observed in the $$M_{V}{-}\log_{10}(E_{\textrm{iso}})$$ distribution. These two groups may correspond to significantly different initial or final parameters of the SN that is the progenitor of long GRBs. We discuss the selection effects that affect the detectability of GRB-SNe and the possible existence of correlations.

Research target: Physics Mathematics
Language: English
DOI
Keywords: selection effectsTransientsgamma-ray burstsoptical observationssupernovae
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