Two-stage neural-encoder GLMMs with variance-corrected SGLD recover full-data MCMC posteriors and quantify modality importance at population and subject levels without losing predictive accuracy.
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Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data
Two-stage neural-encoder GLMMs with variance-corrected SGLD recover full-data MCMC posteriors and quantify modality importance at population and subject levels without losing predictive accuracy.