# Lightweight Data Fusion with Conjugate Mappings

@article{Dean2020LightweightDF, title={Lightweight Data Fusion with Conjugate Mappings}, author={Christopher Dean and Stephen J. Lee and Jason L. Pacheco and John W. Fisher III}, journal={ArXiv}, year={2020}, volume={abs/2011.10607} }

We present an approach to data fusion that combines the interpretability of structured probabilistic graphical models with the flexibility of neural networks. The proposed method, lightweight data fusion (LDF), emphasizes posterior analysis over latent variables using two types of information: primary data, which are well-characterized but with limited availability, and auxiliary data, readily available but lacking a well-characterized statistical relationship to the latent quantity of interest…

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