Publications

Gaussian Process : Papers

A Metamodeling Method Using Dynamic Kriging and Sequential Sampling Scalable Gaussian Process Regression Using Deep Neural Networks VARIATIONAL AUTO-ENCODED DEEP GAUSSIAN PROCESSES Deep Kernel Learning Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation Deep Gaussian Processes for Regression using Approximate Expectation Propagation Warped Gaussian Processes Occupancy Mapping with Uncertain Inputs Introduction to … Read more

Gaussian Process & Genetic Algorithm

Optimization of Gaussian Process Models with Evolutionary Algorithms A genetic Gaussian process regression model based on memetic algorithm Accelerating Evolutionary Algorithms with Gaussian Process Fitness Function Models The Use of Genetic Algorithms for Searching Parameter Space in Gaussian Process Modeling GPfit: An R package for Gaussian Process Model Fitting using a New Optimization Algorithm A COMPARISON BETWEEN GAUSSIAN PROCESS EMULATION … 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