Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Remarks on multi-output Gaussian process regression
Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
Gaussian Process Networks
Gaussian Processes for Machine Learning (GPML) Toolbox
Variational Inference for Uncertainty on the Inputs of Gaussian Process Models
Fast Gaussian Process Regression using KD-Trees
Deep Gaussian Processes with Convolutional Kernels
pyGPs: a Python library for Gaussian process regression and classification
Fast forward selection to speed up sparse gaussian process regression
Gaussian Processes Over Graphs
Bayesian Warped Gaussian Processes
Variational Heteroscedastic Gaussian Process Regression
Twin Gaussian Processes for Structured Prediction
Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations
Variational Bayesian Inference : Algorithms for Sparse Gaussian Processes and Theoretical Bounds
Scalable Gaussian Process Classification via Expectation Propagation
Bayesian classification with Gaussian processes
Deep Neural Networks as Gaussian Processes
Hierarchical double Dirichlet process mixture of Gaussian processes
Deep Gaussian Process Regression ( DGPR )
Classifying Options for Deep Reinforcement Learning
BAYESIAN LEARNING FOR NEURAL NETWORKS
Cardiovascular effects of air pollution
A framework of an expert system for crop pest and disease management
Male genital self-mutilation: a systematic review of psychiatric disorders and psychosocial factors.