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Rui-Chen Xu

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#machine learning Preprint Sep 2026

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. · 0 citations
#machine learning Preprint Aug 2026

HP-JEPA: Hierarchical Partitioning for Multi-Resolution Graph Joint-Embedding Predictive Learning

Horsepower-JEPA organizes each graph into an ordered bank of coarse-to-fine partition resolutions and performs context-target latent prediction separately at each resolution using an online encoder, an exponential-moving-average target encoder, and a latent predictor.

Rui-Chen Xu, Jing-Xiang Qu, Wen-Han Gao et al. · 0 citations

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