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Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Symbolic Regression (SR) allows for the discovery of scientific equations from data.
Partitioned Deep Learning of Fluid-Structure Interaction
Simulation data are used for training of the both neural networks.
Parallel Machine Learning of Partial Differential Equations
The scheme is based on the decomposition of the training data corresponding to spatial subdomains, where an individual neural network is assigned to each data subset.
Distributed, Parallel, and Cluster Computing
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