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Department of Computing and Mathematical Sciences
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Stop hand-tuning kernels for Koopman operator approximation: this dictionary learning approach automatically discovers optimal kernel parameters, simplifying kEDMD.
Forget training for days: this kernel-based operator learning method solves incompressible flow problems with up to six orders of magnitude better accuracy and five orders of magnitude faster training than neural operators.
