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astro-ph.IM2022
Deep Learning for Space Weather Prediction: Bridging the Gap between Heliophysics Data and Theory
John C. Dorelli, Chris Bard, Thomas Y. Chen +11
Traditionally, data analysis and theory have been viewed as separate disciplines, each feeding into fundamentally different types of models. Modern deep learning technology is begi…
cs.LG2022★ 1 cited
A Curriculum-Training-Based Strategy for Distributing Collocation Points during Physics-Informed Neural Network Training
Marcus Münzer, Chris Bard
Physics-informed Neural Networks (PINNs) often have, in their loss functions, terms based on physical equations and derivatives. In order to evaluate these terms, the output soluti…