Shearlet Neural Operators improve accuracy over Fourier Neural Operators on anisotropic and shock-dominated PDEs by using directional multiscale shearlet atoms for better feature fidelity.
On the exact computation of linear frequency principle dynamics and its generalization.SIAM Journal on Mathematics of Data Science, 4(4):1272–1292
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Shearlet Neural Operators for Anisotropic-Shock-Dominated and Multi-scale parametric partial differential equations
Shearlet Neural Operators improve accuracy over Fourier Neural Operators on anisotropic and shock-dominated PDEs by using directional multiscale shearlet atoms for better feature fidelity.