EFKAN, an FNO-branch with KAN-trunk neural operator, gives mixed but generally lower average L1 error than EFNO on synthetic 2D magnetotelluric forward modeling and is much faster than FDM.
Nature Geoscience 15, 677–682
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EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
EFKAN, an FNO-branch with KAN-trunk neural operator, gives mixed but generally lower average L1 error than EFNO on synthetic 2D magnetotelluric forward modeling and is much faster than FDM.