Batman: Bayesian Target Modelling For Active Inference. - Magnus T. Koudahl; Bert de Vries (ICASSP, 2020)

Learning Where to Park. - Burak Ergul; Thijs van de Laar; Magnus T. Koudahl; Martin Roa Villescas; Bert de Vries (IWAI, 2020)

A Worked Example of Fokker-Planck-Based Active Inference. - Magnus T. Koudahl; Bert de Vries (IWAI, 2020)

AIDA: An Active Inference-based Design Agent for Audio Processing Algorithms. - Albert Podusenko; Bart van Erp; Magnus T. Koudahl; Bert de Vries (CoRR, 2021)

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models. - Magnus T. Koudahl; Wouter M. Kouw; Bert de Vries (Entropy, 2021)

Ergodicity-breaking reveals time optimal decision making in humans. - David Meder; Finn Rabe; Tobias Morville; Kristoffer H. Madsen; Magnus T. Koudahl; Raymond J. Dolan; Hartwig R. Siebner; Oliver J. Hulme (PLoS Comput. Biol., 2021)

Variational message passing for online polynomial NARMAX identification. - Wouter M. Kouw; Albert Podusenko; Magnus T. Koudahl; Maarten Schoukens (ACC, 2022)

Gaussian Process-based Amortization of Variational Message Passing Update Rules. - Hoang M. H. Nguyen; Semih Akbayrak; Magnus T. Koudahl; Bert de Vries (EUSIPCO, 2022)

A Message Passing Perspective on Planning Under Active Inference. - Magnus T. Koudahl; Christopher L. Buckley; Bert de Vries (IWAI, 2022)

Designing Ecosystems of Intelligence from First Principles. - Karl J. Friston; Maxwell J. D. Ramstead; Alex B. Kiefer; Alexander Tschantz; Christopher L. Buckley; Mahault Albarracin; Riddhi J. Pitliya; Conor Heins; Brennan Klein; Beren Millidge; Dalton A. R. Sakthivadivel; Toby St Clere Smithe; et al. (CoRR, 2022)

Active Inference and Epistemic Value in Graphical Models. - Thijs van de Laar; Magnus T. Koudahl; Bart van Erp; Bert de Vries (Frontiers Robotics AI, 2022)

Realising Synthetic Active Inference Agents, Part II: Variational Message Updates. - Thijs van de Laar; Magnus T. Koudahl; Bert de Vries (CoRR, 2023)

Realising Synthetic Active Inference Agents, Part I: Epistemic Objectives and Graphical Specification Language. - Magnus T. Koudahl; Thijs van de Laar; Bert de Vries (CoRR, 2023)

Supervised structure learning. - Karl J. Friston; Lancelot Da Costa; Alexander Tschantz; Alex B. Kiefer; Tommaso Salvatori; Victorita Neacsu; Magnus T. Koudahl; Conor Heins; Noor Sajid; Dimitrije Markovic; Thomas Parr; Tim Verbelen; et al. (CoRR, 2023)

Active Inference and Intentional Behaviour. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (CoRR, 2023)

From pixels to planning: scale-free active inference. - Karl J. Friston; Conor Heins; Tim Verbelen; Lancelot Da Costa; Tommaso Salvatori; Dimitrije Markovic; Alexander Tschantz; Magnus T. Koudahl; Christopher Buckley 001; Thomas Parr (CoRR, 2024)

Active Inference and Intentional Behavior. - Karl J. Friston; Tommaso Salvatori; Takuya Isomura; Alexander Tschantz; Alex B. Kiefer; Tim Verbelen; Magnus T. Koudahl; Aswin Paul; Thomas Parr; Adeel Razi; Brett J. Kagan; Christopher L. Buckley; et al. (Neural Comput., 2025)

Bayesian Predictive Coding. - Alexander Tschantz; Magnus T. Koudahl; Hampus Linander; Lancelot Da Costa; Conor Heins; Jeff Beck; Christopher L. Buckley (CoRR, 2025)

AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. - Conor Heins; Toon Van de Maele; Alexander Tschantz; Hampus Linander; Dimitrije Markovic; Tommaso Salvatori; Corrado Pezzato; Ozan Çatal; Ran Wei; Magnus T. Koudahl; Marco Perin; Karl J. Friston; et al. (CoRR, 2025)