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cs.LG2024★ 1 cited
ReFine: Boosting Time Series Prediction of Extreme Events by Reweighting and Fine-tuning
Jimeng Shi, Azam Shirali, Giri Narasimhan
Extreme events are of great importance since they often represent impactive occurrences. For instance, in terms of climate and weather, extreme events might be major storms, floods…
cs.LG2024
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty Quantification
Jimeng Shi, Bowen Jin, Jiawei Han +2
Accurate weather forecasting is critical for science and society. Yet, existing methods have not managed to simultaneously have the properties of high accuracy, low uncertainty, an…
cs.LG2024
FIDLAR: Forecast-Informed Deep Learning Architecture for Flood Mitigation
Jimeng Shi, Zeda Yin, Arturo Leon +2
In coastal river systems, frequent floods, often occurring during major storms or king tides, pose a severe threat to lives and property. However, these floods can be mitigated or…