Gaussian Process Regression + Deep Neural Network Autoencoder for Probabilistic Surrogate Modeling in Nonlinear Mechanics of Solids [Supplementary data]

Complementary data for : https://arxiv.org/abs/2407.10732 Repository : https://github.com/saurabhdeshpande93/gp-auto-regression data |--- README.md |--- .gitignore |--- pretrained_models | |--- best.h5 (optimised autoencoder weights) | |--- best_GPs | | | |- gp_{i}.pkl (optimised GP models) | |--- training_data | |--- *.npy (numpy arrays of train/test data)

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University of Luxembourg
Luxembourg

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Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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EC| MOrPhEM, EC| RAINBOW