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Author

Balaji Srinivasan

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Oct 2026

KAPI-LM: kernel-adaptive physics-informed learning machines for PDEs.

Physics-informed neural networks (PINNs) have emerged as mesh-free approaches for solving partial differential equations, but their learned representations are often difficult to interpret. RBF-kernel-based formulations such as sparse, physics-based, and interpretable neural networks (SPINNs) make the geometry of the p...

Vikas Dwivedi, Balaji Srinivasan, Monica Sigovan et al. · 0 citations

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