Quantitative Approximation Rates for Group Equivariant Learning
arXiv:2602.20370v2 Announce Type: replace
Abstract: The universal approximation theorem establishes that neural networks can approximate any continuous function on a compact set. Later works in approximation theory provide quantitative approximation r…