44 citations · 154 across the 14 of their papers we have counts for
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stat.ML2023★ 1 cited
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion
Andrew Pensoneault, Xueyu Zhu
Bayesian Physics Informed Neural Networks (B-PINNs) have gained significant attention for inferring physical parameters and learning the forward solutions for problems based on par…
stat.ML2019★ 5 cited
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling
Chuan Lu, Xueyu Zhu
In this paper, we present a new nonintrusive reduced basis method when a cheap low-fidelity model and expensive high-fidelity model are available. The method relies on proper ortho…
stat.ML2018★ 3 cited
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method
Xiu Yang, Xueyu Zhu, Jing Li
In this work, we propose a framework that combines the approximation-theory-based multifidelity method and Gaussian-process-regression-based multifidelity method to achieve data-mo…