PIKS is universally consistent for linear differential constraints: with universal kernels it recovers both the target and the physics residual in the misspecified regime, with rates under source conditions.
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Alfio Quarteroni, Paola Gervasio, and Francesco Regazzoni
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PIKS: Universal Physics-Informed Kernel Methods
PIKS is universally consistent for linear differential constraints: with universal kernels it recovers both the target and the physics residual in the misspecified regime, with rates under source conditions.