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.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
physics.geo-ph 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.