34 citations
2 papers
cs.LG2022★ 34 cited
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures
Zhilu Lai, Wei Liu, Xudong Jian +3
The order/dimension of models derived on the basis of data is commonly restricted by the number of observations, or in the context of monitored systems, sensing nodes. This is part…
stat.OT2020★ 28 cited
An efficient surrogate-aided importance sampling framework for reliability analysis
Wang-Sheng Liu, Sai Hung Cheung, Wen-Jun Cao
Surrogates in lieu of expensive-to-evaluate performance functions can accelerate the reliability analysis greatly. This paper proposes a new two-stage framework for surrogate-aided…