Search Results for author:
Found 4 papers, 3 papers with code
Automating Model Comparison in Factor Graphs
Bayesian state and parameter estimation have been automated effectively in a variety of probabilistic programming languages.
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Bayesian model reduction provides an efficient approach for comparing the performance of all nested sub-models of a model, without re-evaluating any of these sub-models.
AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms
AIDA interprets searching for the "most interesting alternative" as an issue of optimal (acoustic) context-aware Bayesian trial design.
Active Inference and Epistemic Value in Graphical Models
The AIF literature describes multiple VFE objectives for policy planning that lead to epistemic (information-seeking) behavior.
