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cs.LG2023
Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems
Elsa Cardoso-Bihlo, Alex Bihlo
We introduce a method for training exactly conservative physics-informed neural networks and physics-informed deep operator networks for dynamical systems. The method employs a pro…
math-ph2023★ 3 cited
Invariant Physics-Informed Neural Networks for Ordinary Differential Equations
Shivam Arora, Alex Bihlo, Francis Valiquette
Physics-informed neural networks have emerged as a prominent new method for solving differential equations. While conceptually straightforward, they often suffer training difficult…