GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras

Ekaterina Filimoshina; Dmitry Shirokov

2025 ICML ICML 2025

GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

Authors

Ekaterina Filimoshina, Dmitry Shirokov

Topics

Machine Learning > Application Areas > Efficient Computing Deep Learning > Architectures > Neural Networks Deep Learning > Techniques > Model Architecture

Keywords

equivariant neural network overfitting benchmarking tasks clifford geometric algebras pseudo-orthogonal transformations weight-sharing parametrization

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