Type-II neural symmetry detection with Lie theory

Abstract Understanding symmetries within data is crucial for explainability and enhancing model efficiency in artificial intelligence. This work investigates an approach to neural symmetry detection, specifically leveraging the mathematical framework of Lie theory. Our approach projects data into a...

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Bibliographic Details
Published in:Scientific Reports
Main Authors: Alex Gabel, Rick Quax, Efstratios Gavves
Format: Article
Language:English
Published: Nature Portfolio 2025-09-01
Subjects:
Deep learning
Symmetry detection
Lie theory
Online Access:https://doi.org/10.1038/s41598-025-17098-8

Internet

https://doi.org/10.1038/s41598-025-17098-8

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