arXiv Machine Learning July 7, 2026 By Yuankang Zhao, Youngsoo Baek, Felipe A. Medeiros, Samuel Berchuck, Matthew M. Engelhard

Integrating Neural Encoders in Bayesian Generalized Linear Mixed Models for Multimodal Data

Read the original on arXiv Machine Learning →

arXiv:2607. 04647v1 Announce Type: cross Abstract: Scalable Bayesian inference for generalized linear mixed models (GLMMs) provides uncertainty-aware analysis of correlated longitudinal data, but existing scalable approaches largely assume low-dimensional tabular predictors and do not directly accommodate high-dimensional modalities such as images and text.

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