Article

Too Symmetric to See: Diagnosing Over-Invariance in Finite-Symmetry Geometric Learning

2026-08-10

Abstract excerpt

<title>Abstract</title> <p>Invariant models can fail silently when their representation imposes more symmetry than the target. For finite phase symmetries, replacing complex coordinates with magnitudes imposes a continuous phase symmetry and can discard target-relevant relative phase without triggering an invariance-error warning. We study this over-invariance failure mode in projective geometric learning. A cont...

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Literature Corpus work: 1054bf12-44c3-5657-ba75-23f7292901be
DOI: 10.21203/rs.3.rs-10550889/v1

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