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#machine learning Preprint Oct 2026

ReAl: Refine neural operators via aligning dynamical flow

Neural partial differential equation (PDE) surrogates trained with mean squared error (MSE) can capture dominant dynamics but often lose high-frequency information and fine-scale structures. Generative models (e.g., Flow Matching) can capture the distribution of fine-scale details, yet stochastic errors may accumulate...

Jing Xu, Zeng-Lin Xu, Li Yi et al. · 0 citations
#artificial intelligence Preprint Sep 2026

RF-VoID: Towards Bandwidth-Efficient Exterior Tile Void Detection via Narrowband Radio-Frequency Representation Learning

RF-VoID is proposed, which decides directly on the narrowband complex response: the sub-band is kept in its measured frequency order with amplitude and phase alongside the in-phase and quadrature channels, and a dual-branch encoder reads it along the physical frequency axis using relative position encoding and a distan...

Xin-Yang-Chen-Xin-Yang Chen, Rui-Qin Ma, Shunsuke Shoda et al. · 0 citations

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