Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups

The quest for robust and generalizable machine learning models has driven recent interest in exploiting symmetries through equivariant neural networks. In the context of PDE solvers, recent works have shown that Lie point symmetries can be a useful inductive bias for Physics-Informed Neural Networks...

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Hauptverfasser:	Shumaylov, Zakhar, Zaika, Peter, Rowbottom, James, Sherry, Ferdia, Weber, Melanie, Schönlieb, Carola-Bibiane
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Computer Science - Numerical Analysis Mathematics - Numerical Analysis
Online-Zugang:	Volltext bestellen
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