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New APEX Framework Enhances High-Frequency Wave Prediction with Scarce Data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework called APEX for predicting higher-frequency wave fields, particularly in scenarios where data for these higher frequencies is scarce. APEX leverages a lower-frequency neural operator to extract transferable amplitude information, which then guides a conditional flow-matching enhancer to reconstruct the target higher-frequency field. This approach, which separates the reuse of coarse structure from the recovery of oscillatory detail, has demonstrated superior performance over existing extrapolation and adaptation baselines on benchmarks like SimpleWave, Helmholtz, and Maxwell. AI

RANK_REASON The cluster contains a research paper detailing a new framework for wave-field prediction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New APEX Framework Enhances High-Frequency Wave Prediction with Scarce Data

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The cluster contains a research paper detailing a new framework for wave-field prediction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yifan Sun, Lei Cheng, Sijie Chen, Ting Zhang, Jianlong Li, Shikai Fang ·

    APEX: Amplitude Anchors and Phase Priors for Target-Scarce Higher-Frequency Wave Prediction

    arXiv:2605.26732v1 Announce Type: new Abstract: Learning-based surrogates have become increasingly effective for wave-field prediction, and neural operators in particular have shown strong performance within observed frequency regimes. However, higher-frequency prediction under s…

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