Gaussian Process

Probabilistic Feature Learning Using Gaussian Process Auto-Encoders

  Simon Olofson – PhD Thesis Reference from PhD Thesis: Auto-Encoding Variational Bayes Stochastic Backpropagation and Approximate Inference in Deep Generative Models Generalized Product of Experts for Automatic and Principled Fusion of Gaussian Process Predictions From Pixels to Torques: Policy Learning with Deep Dynamical Models Sparse Greedy Gaussian Process Regression Autoencoders, Unsupervised Learning, and Deep … Read more

Gaussian Process : Deep Gaussian Process – Warped Gaussian Process -Additive Kernel

The Deep Feed-Forward Gaussian Process: An Effective Generalization to Covariance Priors Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs Warped Gaussian Processes Manifold Gaussian Processes for Regression Sparse Gaussian Processes using Pseudo-inputs Deep Gaussian Processes Chained Gaussian Processes Student-t Processes as Alternatives to Gaussian Processe Introduction to Gaussian Process Additive Gaussian Processes ACCURACY VERSUS INTERPRETABILITY … Read more