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News/Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power
arxiv
PublishedMay 18, 2026 at 4:00 AM

Drawback of Enforcing Equivariance and its Compensation via the Lens of Expressive Power

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arXiv:2512.09673v3 Announce Type: replace-cross Abstract: Equivariant neural networks encode the intrinsic symmetry of data as an inductive bias, which has achieved impressive performance in wide domains. However, the understanding to their expressive power remains premature. Focusing on 2-layer ReL

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