229 citations · 590 across the 13 of their papers we have counts for
4 papers · 1 filter
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling
Yi-Ping Chen, Liwei Wang, Yigitcan Comlek +1
Multi-fidelity (MF) methods are gaining popularity for enhancing surrogate modeling and design optimization by incorporating data from various low-fidelity (LF) models. While most…
Fully Bayesian inference for latent variable Gaussian process models
Suraj Yerramilli, Akshay Iyer, Wei Chen +1
Real engineering and scientific applications often involve one or more qualitative inputs. Standard Gaussian processes (GPs), however, cannot directly accommodate qualitative input…
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang, Wei Wayne Chen, Akshay Iyer +2
Data-driven design shows the promise of accelerating materials discovery but is challenging due to the prohibitive cost of searching the vast design space of chemistry, structure,…
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Yichi Zhang, Siyu Tao, Wei Chen +1
Computer simulations often involve both qualitative and numerical inputs. Existing Gaussian process (GP) methods for handling this mainly assume a different response surface for ea…