FEM is a conditional energy model for hybrid Bayesian networks that uses learned embeddings and valley regularization to enable accurate multimodal posterior inference and compositional sampling.
and Kumar, Abhishek and Ermon, Stefano and Poole, Ben , title =
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Free Energy Manifold: Score-Based Inference for Hybrid Bayesian Networks
FEM is a conditional energy model for hybrid Bayesian networks that uses learned embeddings and valley regularization to enable accurate multimodal posterior inference and compositional sampling.