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07/26/2023
Toward Design of Synthetic Active Inference Agents by Mere Mortals
The theoretical properties of active inference agents are impressive, bu...
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06/13/2023
Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language
The Free Energy Principle (FEP) is a theoretical framework for describin...
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06/09/2023
Automating Model Comparison in Factor Graphs
Bayesian state and parameter estimation have been automated effectively ...
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06/05/2023
Realising Synthetic Active Inference Agents, Part II: Variational Message Updates
The Free Energy Principle (FEP) describes (biological) agents as minimis...
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10/17/2022
Principled Pruning of Bayesian Neural Networks through Variational Free Energy Minimization
Bayesian model reduction provides an efficient approach for comparing th...
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12/26/2021
AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms
In this paper we present AIDA, which is an active inference-based agent ...
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12/25/2021
Reactive Message Passing for Scalable Bayesian Inference
We introduce Reactive Message Passing (RMP) as a framework for executing...
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09/01/2021
Active Inference and Epistemic Value in Graphical Models
The Free Energy Principle (FEP) postulates that biological agents percei...
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03/24/2021
On Sequential Bayesian Optimization with Pairwise Comparison
In this work, we study the problem of user preference learning on the ex...
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11/08/2018
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms
The benefits of automating design cycles for Bayesian inference-based al...
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02/03/2016