Robust Physics-Informed Neural Networks

Автор: NCSAatIllinois

Загружено: 2023-03-01

Просмотров: 2357

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Physics Informed Neural Networks (PINNs) have recently been found to be effective PDE solvers. This talk will focus on how traditional PINN architectures along with physics-inspired regularizers fail to retrieve the intended solution when training data is noisy and how this problem can be solved using Gaussian Process based smoothing techniques.

Instructor: Avik Roy, NCSA Postdoctoral Research Associate
Session Date: February 22, 2023

Robust Physics-Informed Neural Networks

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