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J. Wolterink

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#artificial intelligence Preprint May 2026

When Does Equivariance Help? Canonical Alignment in Neural Fluid Surrogates

The Anchored-Branched Geometric Algebra Transformer (AB-GATr), an E(3)-equivariant surrogate that efficiently predicts coupled surface and volume quantities, is introduced, and results support explicit equivariance for the evaluated hemodynamic tasks with natural orientation variation.

Patryk Rygiel, J. Suk, K. K. Yeung et al. · 0 citations

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