Toon Van de Maele

According to our database, Toon Van de Maele authored at least 19 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, August, 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, July, 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, Tim Verbelen, Christopher L. Buckley

CoRR, May, 2025

2024

Object-Centric Scene Representations Using Active Inference.

Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt

Neural Comput., April, 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, January, 2024

Variational Bayes Gaussian Splatting.

Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen

CoRR, 2024

Belief Sharing: A Blessing or a Curse.

Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Mahault Albarracin, Candice Pattisapu, Tim Verbelen

Proceedings of the Active Inference - 5th International Workshop, 2024

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

Inferring Hierarchical Structure in Multi-Room Maze Environments.

Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt

CoRR, 2023

Symmetry and Complexity in Object-Centric Deep Active Inference Models.

Stefano Ferraro, Toon Van de Maele, Tim Verbelen, Bart Dhoedt

CoRR, 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

Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments.

Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo

Proceedings of the Active Inference - 4th International Workshop, 2023

2022

Computational Optimization of Image-Based Reinforcement Learning for Robotics.

Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Sensors, 2022

Embodied Object Representation Learning and Recognition.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Frontiers Neurorobotics, 2022

Disentangling Shape and Pose for Object-Centric Deep Active Inference Models.

Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 2022

2021

Robot navigation as hierarchical active inference.

Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron

Neural Networks, 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

Disentangling What and Where for 3D Object-Centric Representations Through Active Inference.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

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

Proceedings of the Active Inference - First International Workshop, 2020