Ekaterina Filimoshina

Ekaterina Filimoshina continued a talk 'On Degenerate Pseudo-orthogonal Groups and Lipschitz Groups'.

Ekaterina Filimoshina gave a talk 'On Degenerate Pseudo-orthogonal Groups and Lipschitz Groups'.

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.

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.

The Laboratory for Geometric Algebra and Applications at the HSE Faculty of Economic Sciences is developing a universal language for mathematics, physics, and other exact and natural sciences. It is creating computational methods that are applied in geometry, physics, machine learning, engineering, computer science, and other fields. The laboratory’s staff, including doctoral students, have published numerous articles in leading scientific journals and have taken part in major international conferences. Dmitry Shirokov, Head of the Laboratory, spoke with the HSE News Service about their work.

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.

Researchers at the HSE Laboratory for Geometric Algebra and Applications have developed a new neural network architecture that can accelerate and streamline data analysis in physics, biology, and engineering. The scientists presented their solution on July 16 in Vancouver at ICML 2025, one of the world's leading conferences on machine learning. Both the paper and the source code are publicly available.

Ekaterina Filimoshina (HSE University) presented a talk 'GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras'..

E. Filimoshina presented scientific results at the international conference ICML (A-CONF list).

E. Filimoshina presented a paper on the application of geometric algebras to neural networks at the IJCNN 2025 conference.

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'.

The works of S.V. Rumyantseva, E.R. Filimoshina and D.S. Shirokov are published in Lecture Notes in Computer Science.

Ekaterina Filimoshina, a staff member of the Laboratory for Geometric Algebra and Applications, won the Student Research Paper Competition 2024 in the field of Computer Science.

From November 15 to 17, 2024, the School 'Quaternions, Geometric Algebras, and Applications' took place, organized as part of the corresponding Mirror Laboratories project.

D. Shirokov and E. Filimoshina participated in the School for Scientific Leaders (November 24-29, Sochi) and the IV Congress of Young Scientists (November 27-29, Sirius, Sochi).

Shirokov D., Rumiantseva S., and Filimoshina E. gave talks at the conference Applied Geometric Algebras in Computer Science and Engineering 2024 (Amsterdam, Netherlands).