no code implementations • NeurIPS Workshop DLDE 2021 • Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
Recently, physics-informed neural networks (PINNs) have offered a powerful new paradigm for solving forward and inverse problems relating to differential equations.
1 code implementation • 16 Jul 2021 • Ben Moseley, Andrew Markham, Tarje Nissen-Meyer
FBINNs are designed to address the spectral bias of neural networks by using separate input normalisation over each subdomain, and reduce the complexity of the underlying optimisation problem by using many smaller neural networks in a parallel divide-and-conquer approach.