Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
–Neural Information Processing Systems
We propose the first learning scheme for functional differential equations (FDEs). FDEs play a fundamental role in physics, mathematics, and optimal control.
Neural Information Processing Systems
Aug-20-2025, 21:56:58 GMT
- Country:
- North America > United States (0.14)
- Genre:
- Research Report > Experimental Study (1.00)
- Technology: