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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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Estimating Maximum Resource Load for Resource-Constrained Project Scheduling Problem

Ch. 1987. P. 356–363.
Alexander Lazarev, Dmitry Arkhipov D. I., German Tarasov g.

In Resource-Constrained Project Scheduling Problem (RCPSP), two kinds of constraints are considered: the precedence constraints, which can be eliminated by using critical path method, and the resource con- straints. This paper focuses on the latter, specifically, on estimating max- imum resource loads. We examine a variant of vector sum problem with fractions: considering preemptions allowed, determine what part of each of n jobs should be accomplished in order to minimize quadratic sum of non-consumed amounts of resources subject to resource constraints along with minimizing the number of preemptions. We prove that in case of 2 resources, the optimal solution contains only 2 or less preemptions, and present two polynomial algorithms of finding such solution with complex- ities O(nlogn) and O(n 2 ) operations, the latter leaves space for modifi- cation, e. g. for a weighted variant of the problem. We also present an investigation on the general case of arbitrary number of resources.

Language: English
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Keywords: resourceproject schedulingVector sum problem
Publication based on the results of:
Analysis, choice and decision making in socio-economic, political and financial spheres: new models, methods and algorithms (2017)

In book

CEUR Workshop Proceedings (CEUR-WS.org) of the VIII International Conference on Optimization Methods and Applications “OPTIMIZATION AND APPLICATINS” (OPTIMA-2017)
Vol. 1987. , [б.и.], 2017.
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