J

Jonathan W. Siegel, Snir Hordan, Hannah Lawrence, Ali Syed, Nadav Dym

Jonathan W. Siegel, Snir Hordan, Hannah Lawrence, Ali Syed, Nadav Dym의 전문분석자료

Academic · 약 1분

Quantitative Approximation Rates for Group Equivariant Learning

arXiv:2602.20370v1 Announce Type: new Abstract: The universal approximation theorem establishes that neural networks can approximate any continuous function on a compact set. Later works in …

Jonathan W. Siegel, Snir Hordan, Hannah Lawrence, Ali Syed, Nadav Dym
조회수 72회