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.
· Environmental Data Science · 0 citations