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.
The 14th session of the seminar 'Quaternions, geometric algebras, and applications' took place
Sofiia Rumiantseva gave a talk 'On Bilinear Covariants and Fierz Identities'.
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'.
The 12th session of the seminar 'Quaternions, geometric algebras, and applications' took place
Nikolay G. Marchuk gave a talk 'Biquaternions and Second-order Matrices in Field Theory Equations'.
The 11th session of the seminar 'Quaternions, geometric algebras, and applications' took place
Ekaterina Filimoshina (HSE University) presented a talk 'GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras'..
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).
Dmitry Shirokov presented a talk at the international conference 15th ISAAC Congress (Astana, Kazakhstan, July 21-25, 2025)
D. Shirokov gave a talk at the 15th ISAAC Congress, organized by the International Society for Analysis, its Applications and Computation (ISAAC).
Kamron Abdulkhaev presented a talk at Empowering Novel Geometric Algebra for Graphics & Engineering workshop at Computer Graphics International 2025
K. Abdulkhaev gave a presentation at ENGAGE workshop within CGI conference (July 14-18, 2025, Hong Kong, China).
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'.