1:09:47

Michael Mahoney - Dynamical systems and machine learning

51:22

Rethinking Physics Informed Neural Networks [NeurIPS'21]

2:06:19

ICML 2024 Tutorial"Machine Learning on Function spaces #NeuralOperators"

58:12

DeepOnet: Learning nonlinear operators based on the universal approximation theorem of operators.

1:03:21

George Karniadakis: Approximating functions, functionals and operators with neural networks

17:17

Deep Operator Networks (DeepONet) [Physics Informed Machine Learning]

1:10:36

Physics-Informed Neural Networks (PINNs) - An Introduction - Ben Moseley | Jousef Murad

1:11:50

Learning operators using deep neural networks for multiphysics, multiscale, & multifidelity problems