AINeutralarXiv – CS AI · 10h ago5/10
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Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks
Researchers introduce Free Energy Manifold (FEM), a score-based conditional energy model designed to improve probabilistic inference in hybrid Bayesian networks containing both discrete and continuous variables. The work identifies and addresses a critical failure mode called the mode-bridge artifact, where standard energy models create artificially low-energy paths between separated probability modes, leading to overconfident predictions in regions not seen during training.