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Found 2 papers, 1 papers with code
Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)
To tackle this trade-off, we design a hybrid simulation code coupling a traditional fluid dynamic solver with a neural network approximating the chemical reactions.
Goal-Oriented Sensitivity Analysis of Hyperparameters in Deep Learning
In this work, we study the use of goal-oriented sensitivity analysis, based on the Hilbert-Schmidt Independence Criterion (HSIC), for hyperparameter analysis and optimization.
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