Ralf J. J. Mackenbach

SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels

Neural operators have emerged as a promising paradigm for learning solution operators of partial differential equations (PDEs) directly from data. Existing methods, such as those based on Fourier or graph techniques, make strong assumptions about the structure of the kernel integral operator, assum