You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision. - Toon Van de Maele; Tim Verbelen; Ozan Çatal; Cedric De Boom; Bart Dhoedt (IWAI, 2020)

Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. - Toon Van de Maele; Tim Verbelen; Ozan Çatal; Bart Dhoedt (PKDD/ECML Workshops (1), 2021)

Active Vision for Robot Manipulators Using the Free Energy Principle. - Toon Van de Maele; Tim Verbelen; Ozan Çatal; Cedric De Boom; Bart Dhoedt (Frontiers Neurorobotics, 2021)

Robot navigation as hierarchical active inference. - Ozan Çatal; Tim Verbelen; Toon Van de Maele; Bart Dhoedt; Adam Safron (Neural Networks, 2021)

Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. - Stefano Ferraro; Toon Van de Maele; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (IWAI, 2022)

Embodied Object Representation Learning and Recognition. - Toon Van de Maele; Tim Verbelen; Ozan Çatal; Bart Dhoedt (Frontiers Neurorobotics, 2022)

Computational Optimization of Image-Based Reinforcement Learning for Robotics. - Stefano Ferraro; Toon Van de Maele; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (Sensors, 2022)

Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments. - Toon Van de Maele; Bart Dhoedt; Tim Verbelen; Giovanni Pezzulo (IWAI, 2023)

FMCW Radar Sensing for Indoor Drones Using Learned Representations. - Ali Safa; Tim Verbelen; Ozan Çatal; Toon Van de Maele; Matthias Hartmann; Bart Dhoedt; André Bourdoux (CoRR, 2023)

Symmetry and Complexity in Object-Centric Deep Active Inference Models. - Stefano Ferraro; Toon Van de Maele; Tim Verbelen; Bart Dhoedt (CoRR, 2023)

Inferring Hierarchical Structure in Multi-Room Maze Environments. - Daria de Tinguy; Toon Van de Maele; Tim Verbelen; Bart Dhoedt (CoRR, 2023)

Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments. - Daria de Tinguy; Toon Van de Maele; Tim Verbelen; Bart Dhoedt (CoRR, 2023)

Belief Sharing: A Blessing or a Curse. - Ozan Çatal; Toon Van de Maele; Riddhi J. Pitliya; Mahault Albarracin; Candice Pattisapu; Tim Verbelen (IWAI, 2024)

Variational Bayes Gaussian Splatting. - Toon Van de Maele; Ozan Çatal; Alexander Tschantz; Christopher L. Buckley; Tim Verbelen (CoRR, 2024)

Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment. - Daria de Tinguy; Toon Van de Maele; Tim Verbelen; Bart Dhoedt (Entropy, 2024)

Object-Centric Scene Representations Using Active Inference. - Toon Van de Maele; Tim Verbelen; Pietro Mazzaglia; Stefano Ferraro; Bart Dhoedt (Neural Comput., 2024)

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)

Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks. - Corrado Pezzato; Ozan Çatal; Toon Van de Maele; Riddhi J. Pitliya; Tim Verbelen (CoRR, 2025)

Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation. - Riddhi J. Pitliya; Ozan Çatal; Toon Van de Maele; Corrado Pezzato; Tim Verbelen (CoRR, 2025)