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Jerry Lin

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#machine learning Open access Mar 2026

Data-driven integration kernels for interpretable nonlocal operator learning

This work introduces data-driven integration kernels, a framework that adds structure to nonlocal operator learning by explicitly separating nonlocal information aggregation from local nonlinear prediction, and demonstrates the framework for South Asian monsoon precipitation using a hierarchy of neural network models w...

S. L. Ferretti, Jerry Lin, S. Shamekh et al. · 0 citations
Preprint Aug 2026

Extremes on Rewind: Generating 1,000-Member Ensembles Initialized at a Final Condition

Scenario planning for rare, high-impact events often requires massive ensembles to stochastically sample relevant trajectories. Although autoregressive weather emulators can efficiently generate such ensembles, isolating trajectories of interest requires sifting through petabytes of data, a challenge that grows exponen...

Jerry Lin, M. Chien, Mansi Sakarvadia et al. · 1 citation

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