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framework:multi-level-bayesian-inference

Multi Level Bayesian Inference

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Related by similarity (8)

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.

  • A method for approximate Bayesian inference that optimizes a variational lower bound (ELBO) on log evidence.
  • Stages of Inferenceframework0.802
    The perspective that LLM inference decomposes into distinct computational stages, which the paper extends to looped models
  • The process of inferring causes of sensory inputs, a key aspect of the free-energy minimization scheme.
  • Framework for maximizing expected utility under uncertainty.
  • Bayesian inversionconcept0.770
    Online inversion of nonlinear dynamic causal models using DEM.
  • The ideal limit of self-supervised learning as modeling the true conditional distribution.
  • The probability of sensory data under a generative model; negative log evidence is bounded by free energy.