Congratulations to Ekaterina Filimoshina, winner of the Student Research Paper Competition 2025 held by HSE University!
Ekaterina Filimoshina, a doctoral student and research assistant at the Laboratory for Geometric Algebra and Applications and a lecturer at the Department of Mathematics at the Faculty of Economic Sciences at HSE University, won the Student Research Paper Competition 2025 in Computer Science.
The International School for Students and Young Scientists 'Quaternions, Geometric Algebras and Applications' 2025 was held.
From November 14 to 16, 2025, the online school 'Quaternions, Geometric Algebras, and Applications' was held, attended by researchers from Russia, China, Japan, the USA, Peru, and India.
Congratulations to laboratory member Ekaterina Filimoshina for winning the best poster prize at the Faculty of Computer Science Scientific Conference 2025!
Ekaterina Filimoshina, a member of the Faculty of Economics's Department of Mathematics and the Laboratory for Geometric Algebra and Applications, received the prize for the best poster at the third Faculty of Computer Science Scientific Conference, which took place from October 26 to 29, 2025, at the HSE Voronovo Educational Center.
The 13th session of the seminar 'Quaternions, geometric algebras, and applications' took place
Sergey Kudriashov (HSE University) presented a talk 'Clifford Equivariant Denoising Diffusion Models for Molecular Generation'.
Ekaterina Filimoshina presented a talk at the International Conference on Machine Learning (ICML 2025) in Vancouver, Canada
E. Filimoshina presented scientific results at the international conference ICML (A-CONF list).
Ekaterina Filimoshina presented a talk at the International Joint Conference on Neural Networks (Rome, Italy)
E. Filimoshina presented a paper on the application of geometric algebras to neural networks at the IJCNN 2025 conference.
Ekaterina Filimoshina’s Master’s Thesis Recognized as the Best in the Joint HSE–Skoltech Program
Ekaterina’s work has been recognized as the best master’s thesis in the 2025 graduating class of the joint HSE and Skoltech educational program 'Mathematics of Machine Learning'.