Boosting Efficiency and Reducing Graph Reliance: Basis Adaptation Integration in Bayesian Multi-Fidelity Networks
This paper presents a multi-fidelity method that leverages dimension reduction to enhance the correlation between models, thereby reducing the amount of data needed to train a surrogate from an unordered ensemble of models.
Xiao-Shu Zeng, G. Geraci, A. Gorodetsky et al.
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