Multi-fidelity Bayesian Neural Networks: Algorithms and Applications

Xuhui Meng, Hessam Babaee, George Em Karniadakis

We propose a new class of Bayesian neural networks (BNNs) that can be trained using noisy data of variable fidelity, and we apply them to learn function approximations as well as t…