LoGoS-GPO combines nearest-neighbor spatial kernels, inducing-point sparsity, Kronecker structure, and a wavelet neural operator mean to make Gaussian Process Operators scalable while retaining uncertainty quantification.
Physics informed WNO.Computer Methods in Applied Mechanics and Engineering, 418:116546, 2024
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From Local Interactions to Global Operators: Scalable Gaussian Process Operator for Physical Systems
LoGoS-GPO combines nearest-neighbor spatial kernels, inducing-point sparsity, Kronecker structure, and a wavelet neural operator mean to make Gaussian Process Operators scalable while retaining uncertainty quantification.