2 papers
cs.LG2026
Amortizing Physics-Informed Neural Solvers via Graph Hypernetworks
Cheng Jing, Abhishek Verma, Kallol Bera +2
Amortizing physics-informed neural networks (PINNs) across related PDEs requires describing each equation to a reusable solver. Coefficient vectors encode numerical parameters in p…
cs.LG2026
Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs
Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma +3
Parameterized and coupled partial differential equations (PDEs) are central to modeling phenomena in science and engineering, yet neural operator methods that address both aspects…