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Functional Priors and Posteriors from Data and Physics
The dataset used in this paper is a collection of historical data for learning functional priors and posteriors from data and physics. -
Scientific Machine Learning through Physics-Informed Neural Networks: Where we...
Physics-Informed Neural Networks (PINNs) are a scientific machine learning technique used to solve problems involving Partial Differential Equations (PDEs).
