Learning informed sampling distributions and information gains for efficient exploration planning.

Method to predict distributions over 3D object rotation from 2D images

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