- 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 IN FLEXIBLE MODELING : IMPLEMENTING A TRADEOFF USING GAUSSIAN PROCESS MODELS
- Gaussian Processes for Global Optimization
- AN ADDITIVE GLOBAL AND LOCAL GAUSSIAN PROCESS MODEL FOR LARGE DATA SETS
- A Unifying View of Sparse Approximate Gaussian Process Regression
- COMPOSITE GAUSSIAN PROCESS MODELS FOR EMULATING EXPENSIVE FUNCTIONS
- Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
- WiFi-SLAM Using Gaussian Process Latent Variable Models
- Local and global sparse Gaussian process approximations
- Deep Kernel Learning
- Gaussian processes autoencoder for dimensionality reduction
- Scalable Gaussian Process Regression Using Deep Neural Networks