Hugging Face Trending Papers August 12, 2026

Reducing Symmetry Increase in Equivariant Neural Networks

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Equivariant Neural Networks (ENNs) have empowered numerous applications in scientific fields. Despite their remarkable capacity for representing geometric structures, ENNs suffer from degraded expressivity when processing symmetric inputs: the output representations are invariant to transformations that extend beyond the input's symmetries.

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