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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.
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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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Классификация миноров циркулянтных матриц для ускорения проверки признака MDS

.
Malakhov S.
Language: Russian
Text on another site
Keywords: MDS матрицациркулянтная матрица

In book

Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов имени Е.В. Арменского. Материалы конференции
М.: МИЭМ НИУ ВШЭ, 2022.
Similar publications
The construction of circulant matrices related to MDS matrices
Malakhov S., Rozhkov M., Prikladnaya Diskretnaya Matematika 2022 No. 56 P. 17–27
The objective of this paper is to suggest a method of the construction of circulant matrices, which are appropriate for being MDS (Maximum Distance Separable) matrices utilising in cryptography. Thus, we focus on designing so-called bi-regular circulant matrices, and furthermore, impose additional restraints on matrices in order that they have the maximal number of some ...
Added: September 1, 2022
Experimental Methods for Constructing MDS Matrices of a Special Form
Rozhkov M., Malakhov S., Journal of Applied and Industrial Mathematics (перевод журналов "Сибирский журнал индустриальной математики" и "Дискретный анализ и исследование операций") 2019 Vol. 13 No. 2 P. 302–309
MDS matrices are widely used as a diffusion primitive in the construction of block type encryption algorithms and hash functions (such as AES and GOST 34.12–2015). The matrices with the maximum number of 1s and minimum number of different elements are important for more efficient realizations of the matrix-vector multiplication. The article presents a new method for the MDS ...
Added: June 10, 2019
Экспериментальные оценки числа MDS матриц специального вида над конечными полями.
Malakhov S., В кн.: Межвузовская научно-техническая конференция студентов, аспирантов и молодых специалистов им. Е.В. Арменского.: МИЭМ НИУ ВШЭ, 2018. С. 218–220.
Нижеследующая работа посвящена экспериментальному оцениванию числа MDS матриц специального вида над конечными полями. Оценки получены на основании серии экспериментальных построений MDS матриц с помощью ПЭВМ и системы компьютерной алгебры Wolfarm Mathematica. ...
Added: December 2, 2018
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