AINeutralarXiv – CS AI · 10h ago6/10
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WindINR: Latent-State INR for Fast Local Wind Query and Correction in Complex Terrain
WindINR is a machine learning framework that enables fast, localized wind forecasting in complex terrain by using implicit neural representations to query wind conditions at specific user-defined locations rather than generating dense grid-based forecasts. The system achieves 2.6x speedup in corrections by updating only a compact latent state instead of retraining full networks, making it practical for real-time wind estimation applications.