Neural-net-induced Gaussian process regression for function approximation and PDE solution

no code implementations • 22 Jun 2018 • Pang Guofei, Yang Liu, Karniadakis George Em

Neural-net-induced Gaussian process (NNGP) regression inherits both the high expressivity of deep neural networks (deep NNs) as well as the uncertainty quantification property of Gaussian processes (GPs).

Gaussian Processes regression +1