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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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04/13/2023
Bayesian mixture models for phylogenetic source attribution from consensus sequences and time since infection estimates
In stopping the spread of infectious diseases, pathogen genomic data can...
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03/15/2022
Estimating the potential to prevent locally acquired HIV infections in a UNAIDS Fast-Track City, Amsterdam
Amsterdam and other UNAIDS Fast-Track cities aim for zero new HIV infect...
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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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02/17/2021
Chance-Constrained Active Inference
Active Inference (ActInf) is an emerging theory that explains perception...
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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
