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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.
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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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Dynamic Interactions in Intraguild Predation: A Ratio-Dependent Model with Time Delay and Prey Refuge

Journal of Applied Nonlinear Dynamics. 2025. Vol. 14. No. 3. P. 719–743.
S M., Seralan V., R V., Nallappan G.

In this work, we propose a ratio-dependent intraguild predation model that incorporates fear and gestation delay. Further, the cost of the intraguild predator's fear is thought to decrease the size of the intraguild prey. The interaction between prey and predator takes place in the form ratio-dependence type. This type of functional response offers a valuable perspective by considering the feeding rates based on the relative abundance of both prey and predators. We first determine the conditions under which positive equilibrium points exist, and then we examine the local stability properties of the equilibria. In order to gain insight into the rich dynamics of the proposed non-delayed model, the occurrence of Hopf-bifurcation with respect to the fear parameter near the interior equilibrium point is discussed. Furthermore, we evaluate the local stability and the possibility of a Hopf bifurcation for the delayed model. The direction and stability of the Hopf bifurcation are also studied using the center manifold theorem. Finally, we conduct the numerical simulations to demonstrate our analytical results.

Research target: Mathematics Physics Biology
Language: English
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Keywords: time delayStability analysisHopf bifurcation
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