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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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Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)

Vol. 1197: Supplementary Proceedings of AIST 2014. Ekaterinburg : CEUR Workshop Proceedings, 2014.
Under the general editorship: Ignatov D. I., M. Khachay, A. Panchenko, N. Konstantinova, R. Yavorsky, D. Ustalov

AIST'2014 is an international data science conference on Analysis of Images, Social Networks, and Texts. Traditionally, the conference is held annually in Yekaterinburg, Russia. The conference is intended for computer scientists and practitioners whose research interests involve Internet mathematics and other related fields of data science.

LIST OF TOPICS (NON EXHAUSTIVE)

  • Applications of Data Mining and Machine Learning techniques to
    • Analysis of images and video
    • Natural Language Processing
    • Social Network Analysis
    • Recommender systems and collaborative technologies
    • Geoinformation systems
    • Game analytics
    • Information Retrieval
  • Core Data Mining and Machine Learning techniques
  • Sematic Web and Ontologies
  • Data Mining in social sciences and economics
    • Computational econometrics
    • Experimental Economics
    • Educational Data Mining
Chapters
Общественное мнение онлайн: сравнение структуры и тематики постов «обычных» и «популярных» блогеров Живого Журнала
Svetlana Alexeeva, Olessia Koltsova, Sergei Koltsov, В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 177–181.
Статья посвящена сравнению тематической структуры и ос- новных статистических параметров постов «обычных» и «популярных» блогеров Живого Журнала. Исследование показало существенное темати- ческое сходство обеих выборок, была опровергнута гипотеза о большем интересе «топовых» блогеров к социально-политическим темам по срав- нению с обычными блогерами. Различие между двумя группами заключа- ется в меньшей активности и большей зашумленности данных ...
Added: October 8, 2014
Visual analytics in FCA-based triclustering
Kashnitsky Y., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. Ch. 12 P. 69–80.
Visual analytics is a subdomain of data analysis which combines both human and machine analytical abilities and is applied mostly in decision-making and data mining tasks. Triclustering, based on Formal Concept Analysis (FCA), was developed to detect groups of objects with similar properties under similar conditions. It is used in Social Network Analysis (SNA) and ...
Added: August 28, 2014
Использование семантического анализа текстов для поиска специалистов
Zakhlebin I. V., В кн.: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. С. 187–191.
This paper presents a semantic method for searching for the experts. The method operates over a set of texts authored by themselves. The query format allowing one to define a set of the selected skills, and the algorithms for constructing and comparing the semantic representations are also presented. The ExpSearch-1 (Experts Search, version 1) system ...
Added: July 11, 2015
Analysis System of Scientific Publications Based on the Ontology Approach
Svetlana A. Strinuk, Lanin V., , in: Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)Vol. 1197: Supplementary Proceedings of AIST 2014.: Ekaterinburg: CEUR Workshop Proceedings, 2014. P. 81–85.
The article describes an approach to scientific publications repository creation based on ontology approach and corpus linguistics methods, processing of unstructured data (scientific papers) using GATE. Implementation of discussed methods is intended to decrease significantly labor intensity of information search and analysis, provide operational use of information in research. ...
Added: January 13, 2015
Research target: Computer Science
Priority areas: IT and mathematics
Language: English
Full text
Text on another site
Keywords: машинное обучениеанализ изображенийанализ текстовинформационный поисккомпьютерное зрениеnatural language processingанализ социальных сетейbest practices for adaptation of data miningmachine learningsocial network analysisавтоматический анализ текстаimage analysis information retrievalмайнинг данных
Publication based on the results of:
Mathematical models, algorithms and software for data mining in the text and the structural form (2014)
Supplementary Proceedings of the 3rd International Conference on Analysis of Images, Social Networks and Texts (AIST 2014)
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