Article-Journal

Information-seeking polynomial NARX model-predictive control through expected free energy minimization

We propose an adaptive model-predictive controller that balances driving the system to a goal state and seeking system observations …

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 …

Jim, Bart van Erp, Ziyue Zhao, Kirill Kondrashov, Bert de Vries

Automating model comparison in factor graphs

Bayesian state and parameter estimation are automated effectively in a variety of probabilistic programming languages. The process of …

Bart van Erp, Wouter Nuijten, Thijs van de Laar, Bert de Vries

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates

The free energy principle (FEP) describes (biological) agents as minimizing a variational free energy (FE) with respect to a generative …

Thijs van de Laar, Magnus Koudahl, Bert de Vries

Reactive Message Passing for Scalable Bayesian Inference

We introduce reactive message passing (RMP) as a framework for executing schedule-free, scalable, and, potentially, more robust message …

Dmitry Bagaev, Bert de Vries

RxInfer: A Julia package for reactive real-time Bayesian inference

Bayesian inference realizes optimal information processing through a full commitment to reasoning by probability theory. The Bayesian …

Dmitry Bagaev, Albert Podusenko, Bert de Vries

Probabilistic programming with stochastic variational message passing

Stochastic approximation methods for variational inference have recently gained popularity in the probabilistic programming community …

Semih Akbayrak, İsmail Şenöz, Alp, Bert de Vries

ReactiveMP.jl: A Julia package for reactive variational Bayesian inference

Variational Bayesian (VB) inference has become an increasingly popular method for approximating exact Bayesian inference in model-based …

Dmitry Bagaev, Bart van Erp, Albert Podusenko, Bert de Vries

Active Inference and Epistemic Value in Graphical Models

The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their environment in order to minimize a …

Thijs van de Laar, Magnus Koudahl, Bart van Erp, Bert de Vries

AIDA: An active inference-Based design agent for audio processing algorithms

In this paper we present Active Inference-Based Design Agent (AIDA), which is an active inference-based agent that iteratively designs …

Albert Podusenko, Bart van Erp, Magnus Koudahl, Bert de Vries