Preprint
Sep 2026
Latent Inversion of Material Coefficients from Boundary Data via Finite Tests and Neural Surrogates
We reconstruct a spatially varying material coefficient in a scalar elliptic equation from finitely many boundary excitations, each producing a full Dirichlet trace. To mitigate the ill-posedness and the cost of repeated PDE solves, we restrict the coefficient to a low-dimensional family, specified analytically or lear...
Erik Burman, M. G. Larson, K. Larsson et al.
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