AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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In-situ representation refinement is developed: support labels guide changes to the episode's representations, improving the information available to later queries, in a competitive, memory-efficient model.
RainCast is proposed, a high-resolution framework for hourly precipitation forecasting over China up to 72 hours ahead at 0.05° resolution that incorporates a physics-guided feature extractor and a multi-head output design that supports both deterministic forecasts with a regression head and probabilistic multi-member...
Accurate short-term precipitation forecasting, which targets predictions up to 3 days ahead, has long been challenging, mainly due to extreme sample imbalance and complex multiscale physical processes. Existing regression- or classification-based deep learning methods often produce over-smoothed precipitation fields, l...
Inspired by recent progress in 3D reconstruction with 3D Gaussian Splatting, PredGS, a lightweight and plug-and-play adapter based on 2D Gaussian representation, which could be seamlessly integrated with existing pixel space predictors, significantly improving spatial detail preservation with negligible computational o...
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