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Tomáš Karella

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#artificial intelligence Preprint Oct 2026

On Making $\mathrm{SE}(2)$-Invariant Networks Optimal

A plug-and-play module for convolutional neural networks that enforces $\mathrm{SE}(2)$ invariance, capturing both translations and rotations within standard architectures, and derive invariant feature maps that are provably optimal: minimal and information-preserving with respect to the symmetry group.

Tomáš Karella, Emily Shinkle, Alice E. A. Allen et al. · 0 citations