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GestaltCog Team, dedicated to innovating theories and technologies for spatiotemporal data mining, to build foundational models and systems of situation-aware intelligence computing with disruptive capabilities.
“观沧”研究组,致力于创新时空数据分析挖掘的理论与技术,打造基础模型和系统,构建颠覆性的智能态势计算能力。
From Surface Observations to Subsurface Dynamics: Advanced 3D Oceanic Mesoscale Eddy Forecasting with Large Autoregressive Modeling
Official Code for the NeurIPS'25 paper: Selective Learning for Deep Time Series Forecasting
Code for our SIGKDD'25 paper BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models.
Code for "On the Integration of Spatial-Temporal Knowlegde: A Lightweight Approach to Atmospheric Time Series Forecasting"
Code for our SIGKDD'24 paper GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
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