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math.NA2023
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
Xiaofei Guan, Xintong Wang, Hao Wu +2
In this paper, we introduce an innovative approach for addressing Bayesian inverse problems through the utilization of physics-informed invertible neural networks (PI-INN). The PI-…
math.NA2023★ 2 cited
IB-UQ: Information bottleneck based uncertainty quantification for neural function regression and neural operator learning
Ling Guo, Hao Wu, Wenwen Zhou +2
We propose a novel framework for uncertainty quantification via information bottleneck (IB-UQ) for scientific machine learning tasks, including deep neural network (DNN) regression…