Persons: Filimoshina, Ekaterina Romanovna

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Filimoshina, Ekaterina Romanovna

Statistics
in Scopus:	1 (1)

Birth date:

2.06.2001

Keywords:

Clifford algebra, geometric algebra, Lie groups, spin groups, equivariant neural networks, geometric deep learning, mathematical physics

MSC:

15A66, 11E88, 68T01

Subject:

Clifford algebra, geometric algebra, neural networks

Main publications:

E. Filimoshina, D. Shirokov, “On generalization of Lipschitz groups and spin groups”, Mathematical Methods in the Applied Sciences, 47:3 (2024), 1375–1400
E. Filimoshina, D. Shirokov, “GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras”, Proceedings of the 42nd International Conference on Machine Learning (ICML, Vancouver, Canada, July 13 – 19, 2025), 2025

https://www.mathnet.ru/eng/person199929

https://scholar.google.com/citations?user=3JF-8Z0AAAAJ&hl=en

https://elibrary.ru/author_items.asp?spin=4186-5917

https://orcid.org/0000-0002-7771-5691

https://www.webofscience.com/wos/author/record/GSN-0815-2022

https://www.scopus.com/authid/detail.url?authorId=57704951700

List of publications:

scientific publications

by years

by types

by times cited

common list

		Citations (Crossref Cited-By Service + Math-Net.Ru)


2025
1.	E. R. Filimoshina, D. S. Shirokov, “Generalized Degenerate Clifford and Lipschitz Groups in Geometric Algebras”, Advances in Applied Clifford Algebras, 35 (2025), 29 , 35 pp., arXiv: 2505.07106
2.	E. R. Filimoshina, D. S. Shirokov, “Generalized Degenerate Clifford and Lipschitz Groups”, Advances in Computer Graphics. CGI 2024. Lecture Notes in Computer Science (Geneva, Switzerland, July 1–5, 2024), 15340, eds. Magnenat-Thalmann, N., Kim, J., Sheng, B., Deng, Z., Thalmann, D., Li, P., Springer, Cham, 2025, 364–376	1 ^[x]
3.	E. R. Filimoshina, D. S. Shirokov, “Equivariant Neural Networks with Geometric Algebras: A New Approach”, Proceedings of the International Joint Conference on Neural Networks (IEEE Proceedings) (Rome, Italy, June 30 – July 5, 2025), 2025 (to appear)
4.	E. R. Filimoshina, D. S. Shirokov, “GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras”, Proceedings of the 42nd International Conference on Machine Learning (Vancouver, Canada, July 13–19, 2025), 2025 (to appear) https://openreview.net/forum?id=H0ySAzwu8k

2024
5.	E. R. Filimoshina, D. S. Shirokov, “A Note on Centralizers and Twisted Centralizers in Clifford Algebras”, Advances in Applied Clifford Algebras, 34 (2024), 50 , 22 pp., arXiv: 2404.15169	2 ^[x]
6.	E. R. Filimoshina, D. S. Shirokov, “On some Lie groups in degenerate geometric algebras”, Advanced Computational Applications of Geometric Algebra. ICACGA 2022. Lecture Notes in Computer Science (Denver, CO, USA, October 2-5, 2022), 13771, eds. Silva, D.W., Hitzer, E., Hildenbrand, D., Springer, Cham, 2024, 186–198	3 ^[x]
7.	E. R. Filimoshina, D. S. Shirokov, “On generalization of Lipschitz groups and spin groups”, Mathematical Methods in the Applied Sciences, 47 (2024), 1375–1400 , arXiv: 2205.06045	6 ^[x]

2023
8.	E. R. Filimoshina, D. S. Shirokov, “On Some Lie Groups in Degenerate Clifford Geometric Algebras”, Advances in Applied Clifford Algebras, 33 (2023), 44 , 31 pp., arXiv: 2301.06842	5 ^[x]

Organisations