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Franklyn Wang

2 accepted papers

2023

SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking

NeurIPS 2023poster

Subseasonal forecasting of the weather two to six weeks in advance is critical for resource allocation and advance disaster notice but poses many challenges for the forecasting community. At this forecast horizon, physics-based dynamical models have limited skill, and the targets for prediction depe…

2021

Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation

ICML 2021spotlight

In learning-augmented algorithms, algorithms are enhanced using information from a machine learning algorithm. In turn, this suggests that we should tailor our machine-learning approach for the target algorithm. We here consider this synergy in the context of the learned count-min sketch from (Hsu e…