Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
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Updated
Aug 4, 2020 - Python
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
This is the code repository for the DuSt-MPC paper, published at Robotics: Science and Systems (RSS) 2021.
Implementation of Stein Variational Gradient Descent with TensorFlow 2.0
Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning
TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)
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