Learning informed sampling distributions and information gains for efficient exploration planning.
We analyze algorithms to learn Gaussian Bayesian networks with known structure up to a bounded error in total variation distance.
Code for the paper "Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network"
Template TensorFlow code for feed-forward neural networks - learning Gaussian distributions
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