Meta-LRPINN combines SVD low-rank weights, a frequency-embedding hypernetwork, and meta-learned initialization to model multi-frequency seismic wavefields faster and more accurately than baseline PINNs on tested models.
Seismic waveform inversion in the frequency domain, part 1: Theory and verification in a physical scale model
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Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
Meta-LRPINN combines SVD low-rank weights, a frequency-embedding hypernetwork, and meta-learned initialization to model multi-frequency seismic wavefields faster and more accurately than baseline PINNs on tested models.