SharpNet: Enhancing MLPs to Represent Functions with Controlled Non-differentiability

Hanting Niu, Junkai Deng, Fei Hou +2

Multi-layer perceptrons (MLPs) are a standard tool for learning and function approximation, but they inherently produce globally smooth outputs. Consequently, they struggle to repr…