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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 …
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
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Score-based pullback Riemannian geometry
Data-driven Riemannian geometry has emerged as a powerful tool for interpretable representation learning, offering improved efficiency …
Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb
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