3 papers
cs.LG2025
Leveraging Exogenous Signals for Hydrology Time Series Forecasting
Junyang He, Judy Fox, Alireza Jafari +2
Recent advances in time series research facilitate the development of foundation models. While many state-of-the-art time series foundation models have been introduced, few studies…
cs.LG2025
CC-GRMAS: A Multi-Agent Graph Neural System for Spatiotemporal Landslide Risk Assessment in High Mountain Asia
Mihir Panchal, Ying-Jung Chen, Surya Parkash
Landslides are a growing climate induced hazard with severe environmental and human consequences, particularly in high mountain Asia. Despite increasing access to satellite and tem…
cs.LG2025
Deep Learning Foundation and Pattern Models: Challenges in Hydrological Time Series
Junyang He, Ying-Jung Chen, Alireza Jafari +2
There has been active investigation into deep learning approaches for time series analysis, including foundation models. However, most studies do not address significant scientific…