59 citations · 64 across the 10 of their papers we have counts for
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stat.AP2020
Probabilistic modeling of discrete structural response with application to composite plate penetration models
Anindya Bhaduri, Christopher S. Meyer, John W. Gillespie +3
Discrete response of structures is often a key probabilistic quantity of interest. For example, one may need to identify the probability of a binary event, such as, whether a struc…
math.NA2020★ 59 cited
Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold
Dimitris G. Giovanis, Michael D. Shields
This paper introduces a surrogate modeling scheme based on Grassmannian manifold learning to be used for cost-efficient predictions of high-dimensional stochastic systems. The meth…