2024
Minimum width for universal approximation using ReLU networks on compact domain
ICLR 2024poster
It has been shown that deep neural networks of a large enough width are universal approximators but they are not if the width is too small. There were several attempts to characterize the minimum width $w_{\min}$ enabling the universal approximation property; however, only a few of them found the ex…