RGAT: Riemannian Geometric-Algebra Transformers

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Authors: Zachary Nathan Joseph
Cited by: 0

Abstract

Added Apache 2.0 LICENSE. Updated README badges for DOI, license, Lean version, and Python version.

Fields of Study & Subjects

Algebraic and Geometric Analysis Mathematics and Applications Neural Networks and Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 February 2026