Variational Bayesian Inference

A method for approximate Bayesian inference that optimizes a variational lower bound (ELBO) on log evidence.

Neighborhood — ranked by edge-count

framework

Active Inference
implementsuses
Foundational framework by Karl Friston; the paper extends it to three hierarchical levels for modeling meta-awareness.

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Bayesian Inferencemethod0.865
Variational Bayesmethod0.838
Mathematical framework for approximating posterior beliefs; converts exact Bayesian inference into optimization.
Multi Level Bayesian Inferenceframework0.826
Multilevel Bayesian Inferenceframework0.822
By minimising variational free energy, agents perform approximate Bayesian inference.claim0.798
Describes the epistemic function of variational free energy.
Bayes-optimal conditional inferenceconcept0.792
The ideal limit of self-supervised learning as modeling the true conditional distribution.
Morphogenesis As Bayesian Inferenceframework0.787
Variational approach to pattern formation and control in biology (Kuchling et al. 2020).
Bayesian Decision Theoryframework0.780
Framework for maximizing expected utility under uncertainty.