Graph-based diffusion posterior sampling with added regularization for stable conductivity reconstructions in 2D electrical impedance tomography.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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A framework learns boundary-to-domain pseudo-extensions to condition neural operators on complex BCs, achieving SOTA accuracy on 18 challenging PDE datasets without hyperparameter tuning.
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Diffusion Graph Posterior Sampling for Nonlinear Inverse Problems with Application to Electrical Impedance Tomography
Graph-based diffusion posterior sampling with added regularization for stable conductivity reconstructions in 2D electrical impedance tomography.
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Imposing Boundary Conditions on Neural Operators via Learned Function Extensions
A framework learns boundary-to-domain pseudo-extensions to condition neural operators on complex BCs, achieving SOTA accuracy on 18 challenging PDE datasets without hyperparameter tuning.