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Decomposition of Equivariant Maps via Invariant Maps: Application to Universal Approximation under Symmetry
In this paper, we develop a theory about the relationship between invariant and equivariant maps with regard to a group $G$. We then leverage this theory in the context of deep neural networks with group symmetries in order to obtain novel insight into their mechanisms. More precisely, we establish a …