4 papers
Influence of Prior Distributions on Gaussian Process Hyperparameter Inference
Ayumi Mutoh, Junoh Heo
Gaussian processes (GPs) are widely used metamodels for approximating expensive computer simulations, particularly in engineering design and spatial prediction. However, their perf…
Diffusion Non-Additive Model for Multi-Fidelity Simulations with Tunable Precision
Junoh Heo, Romain Boutelet, Wenjia Wang +1
Computer simulations are indispensable for analyzing complex systems, yet high-fidelity models often incur prohibitive computational costs. Multi-fidelity frameworks address this c…
Fast and Accurate Emulation of Complex Dynamic Simulators
Junoh Heo
Dynamic simulators are computational models governed by differential equations that evolve over time. They are essential for scientific and engineering applications but remain chal…
Active Learning for a Recursive Non-Additive Emulator for Multi-Fidelity Computer Experiments
Junoh Heo, Chih-Li Sung
Computer simulations have become essential for analyzing complex systems, but high-fidelity simulations often come with significant computational costs. To tackle this challenge, m…