Neural tangent kernel from neural reparameterization modulates sensitivity and wave tangent kernels to produce spectral filtering, wavenumber modulation, and frequency bias that improve NeurFWI convergence.
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Derives L2 stability estimates with sublinear dependence on perturbation size for Constantin's solitary wave profile reconstruction under errors in speed, depth, and pressure data.
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Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
Neural tangent kernel from neural reparameterization modulates sensitivity and wave tangent kernels to produce spectral filtering, wavenumber modulation, and frequency bias that improve NeurFWI convergence.
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Generalized Error Bounds in the Recovery of Solitary Wave Profiles
Derives L2 stability estimates with sublinear dependence on perturbation size for Constantin's solitary wave profile reconstruction under errors in speed, depth, and pressure data.