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Boosting Efficiency and Reducing Graph Reliance: Basis Adaptation Integration in Bayesian Multi-Fidelity Networks

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TL;DR

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.

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