Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: Most likely heteroscedastic Gaussian process regression
Gaussian Processes for Machine Learning
Twin Gaussian Processes for Structured Prediction
Collaborative multi-output Gaussian processes
Variational learning of inducing variables in sparse Gaussian processes
Gaussian process for nonstationary time series prediction
Sparse Gaussian Processes for Multi-task Learning
Bayesian Gaussian Process Latent Variable Model
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC
Gaussian Processes for Ordinal Regression
Multi-task Gaussian Process Prediction
Gaussian Process Training with Input Noise
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models
Deep Neural Networks as Gaussian Processes
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
Gaussian Process Change Point Models
Deep Gaussian Process Regression ( DGPR )
GPflow: A Gaussian process library using TensorFlow
Spatio-Temporal Learning With the Online Finite and Infinite Echo-State Gaussian Processes
Gaussian Process Optimization with Mutual Information
A spatio-temporal, Gaussian process regression, real-estate price predictor
Summarization – compressing data into an informative representation
Students’ perception of effective clinical teaching and teacher behaviour
TESOL Methods: Changing Tracks, Challenging Trends
A training algorithm for optimal margin classifiers
producing sustainable competitive advantage through the effective management of people * .