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Temporal Coverage over Density: Parsimonious Training-Set Design for ML Climate Downscaling
Karandeep Singh, Stefan Rahimi, Chad W. Thackeray +2
High-resolution regional climate simulations provide critical information for climate impacts assessments but remain computationally expensive, motivating the development of machin…
Generating High-Resolution Regional Precipitation Using Conditional Diffusion Model
Naufal Shidqi, Chaeyoon Jeong, Sungwon Park +3
Climate downscaling is a crucial technique within climate research, serving to project low-resolution (LR) climate data to higher resolutions (HR). Previous research has demonstrat…
GraphFC: Customs Fraud Detection with Label Scarcity
Karandeep Singh, Yu-Che Tsai, Cheng-Te Li +2
Custom officials across the world encounter huge volumes of transactions. With increased connectivity and globalization, the customs transactions continue to grow every year. Assoc…
Active Learning for Human-in-the-Loop Customs Inspection
Sundong Kim, Tung-Duong Mai, Sungwon Han +5
We study the human-in-the-loop customs inspection scenario, where an AI-assisted algorithm supports customs officers by recommending a set of imported goods to be inspected. If the…