├── .gitignore ├── README.md ├── data └── snelson │ ├── test_inputs │ ├── train_inputs │ └── train_outputs ├── dnn2gp ├── __init__.py ├── datasets.py ├── dnn2gp.py ├── dual_models.py ├── gaussian.py ├── laplace_models.py ├── neural_networks.py ├── utilities.py ├── variational_models.py └── vogn.py ├── figures ├── dnn2gp_schema.png ├── marglik_delta_toy_VI.pdf ├── marglik_delta_toy_fits.pdf ├── marglik_delta_toy_laplace.pdf ├── marglik_delta_wine_laplace.pdf ├── marglik_sigma_wine_laplace.pdf ├── marglik_width_toy_laplace.pdf ├── marglik_width_wine_laplace.pdf ├── regression_uncertainty_laplace.pdf └── regression_uncertainty_vi.pdf ├── kernel_and_predictive.py ├── kernel_and_predictive_plots.py ├── marglik.py ├── marglik_plots.py ├── marglik_uci.py ├── models ├── 2_class_mnist_zone_lenet_vogn.tk ├── cifar_lenet_adam.tk ├── cifar_lenet_vogn.tk ├── full_mnist_lenet_adaml2.tk └── full_mnist_lenet_vogn.tk ├── neurips2019_poster.pdf ├── regression_uncertainty.py ├── requirements.txt └── results ├── reg_ms_delta_original.pkl ├── reg_ms_delta_wine.pkl ├── reg_ms_sigma_wine.pkl ├── reg_ms_width_original.pkl └── reg_ms_width_wine.pkl /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_STORE 2 | .idea 3 | __pycache__/ 4 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/team-approx-bayes/dnn2gp/HEAD/README.md -------------------------------------------------------------------------------- /data/snelson/test_inputs: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/team-approx-bayes/dnn2gp/HEAD/data/snelson/test_inputs -------------------------------------------------------------------------------- /data/snelson/train_inputs: -------------------------------------------------------------------------------- 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