SCOPE: Observation-Conditioned Full-Target Prediction for Sparse PDE Inference
Recovering complete physical fields from sparse observations is challenging because the measurements may not uniquely determine the underlying state. Diffusion-based PDE solvers address this problem through iterative sampling whereas neural operators provide deterministic one-pass predictions. We propose SCOPE (Sparse-...
Rui-Chen Xu, Si-Yao Wang, Fang Wan et al.
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