Yahong Yang

New deep neural network design bypasses curse of dimensionality for function approximation

Researchers have developed symmetric deep neural networks capable of approximating symmetric Korobov functions. The study demonstrates that the convergence rate and prefactor in these approximations scale polynomially w…