NIPS is a neural operator that uses linear attention and Fourier kernels to simultaneously predict PDE solutions and recover hidden material properties from limited data.
Coupling deep learning with full waveform inversion
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Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
NIPS is a neural operator that uses linear attention and Fourier kernels to simultaneously predict PDE solutions and recover hidden material properties from limited data.