B. Jha

Full-Field Reconstruction from Sparse Observations Using Multiscale Gaussian Kernel and Factorized Fourier Neural Operators

Reconstructing high-dimensional physical fields from sparse observations is a central challenge in subsurface monitoring, where dense measurements are often impractical or unavailable. Existing approaches typically require dense full-state supervision, limiting their applicability when only sparse measurements are av...