Adaptive Online Deployment for Resource Constrained Mobile Smart Clients. - Tim Verbelen; Raf Hens; Tim Stevens; Filip De Turck; Bart Dhoedt (MOBILWARE, 2010)

Dynamic deployment and quality adaptation for mobile augmented reality applications. - Tim Verbelen; Tim Stevens; Pieter Simoens; Filip De Turck; Bart Dhoedt (J. Syst. Softw., 2011)

A component-based approach towards mobile distributed and collaborative PTAM. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (ISMAR, 2012)

Cloudlets: bringing the cloud to the mobile user. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (MCS, 2012)

Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (MOBILWARE, 2012)

AIOLOS: Middleware for improving mobile application performance through cyber foraging. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (J. Syst. Softw., 2012)

Towards a component-based platform for industrial AR. - Tim Verbelen; Pieter Simoens; Bart Dhoedt (UbiComp (Adjunct Publication), 2013)

Quality of experience driven control of interactive media stream parameters. - Bert Vankeirsbilck; Tim Verbelen; Dieter Verslype; Nicolas Staelens; Filip De Turck; Piet Demeester; Bart Dhoedt (IM, 2013)

Vision: mapping the world in 3d through first-person vision devices with mercator. - Pieter Simoens; Tim Verbelen; Bart Dhoedt (MCS, 2013)

Mobile, Collaborative Augmented Reality Using Cloudlets. - Steven Bohez; Joeri De Turck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (MOBILWARE, 2013)

Graph partitioning algorithms for optimizing software deployment in mobile cloud computing. - Tim Verbelen; Tim Stevens; Filip De Turck; Bart Dhoedt (Future Gener. Comput. Syst., 2013)

Leveraging Cloudlets for Immersive Collaborative Applications. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (IEEE Pervasive Comput., 2013)

Enabling component-based mobile cloud computing with the AIOLOS middleware. - Steven Bohez; Elias De Coninck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (ARM@Middleware, 2014)

Vision: smart home control with head-mounted sensors for vision and brain activity. - Pieter Simoens; Elias De Coninck; Thomas Vervust; Jan-Frederik Van Wijmeersch; Tom Ingelbinck; Tim Verbelen; Maaike Op de Beeck; Bart Dhoedt (MCS@MobiSys, 2014)

Management of crowdsourced first-person video: street view live. - Steven Bohez; Jens Mostaert; Tim Verbelen; Pieter Simoens; Bart Dhoedt (MUM, 2014)

ETX'14: 2014 workshop on eclipse technology exchange. - Jan S. Rellermeyer; Tim Verbelen (SPLASH (Companion Volume), 2014)

Adaptive deployment and configuration for mobile augmented reality in the cloudlet. - Tim Verbelen; Pieter Simoens; Filip De Turck; Bart Dhoedt (J. Netw. Comput. Appl., 2014)

Androsgi: bringing the power of OSGi to Android. - Steven Bohez; Elias De Coninck; Tim Verbelen; Bart Dhoedt (ETX, 2015)

Resource-constrained classification using a cascade of neural network layers. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2015)

Distributed Neural Networks for Internet of Things: The Big-Little Approach. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Pieter Simoens; Piet Demeester; Bart Dhoedt (IoT 360 (2), 2015)

Remote Management of a Large Set of Heterogeneous Devices Using Existing IoT Interoperability Platforms. - Heleen Vandaele; Jelle Nelis; Tim Verbelen; Chris Develder (IoT 360 (2), 2015)

DIANNE: Distributed Artificial Neural Networks for the Internet of Things. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Sam Leroux; Pieter Simoens (M4IoT@Middleware, 2015)

Workshop preview of the 2015 eclipse technology exchange workshop (ETX 2015). - Tim Verbelen; Michael G. Burke (SPLASH (Companion Volume), 2015)

Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. - Steven Bohez; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Simul. Model. Pract. Theory, 2015)

Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Bart Dhoedt; Pieter Simoens (CloudNet, 2016)

Multi-fidelity matryoshka neural networks for constrained IoT devices. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IJCNN, 2016)

Lazy Evaluation of Convolutional Filters. - Sam Leroux; Steven Bohez; Cedric De Boom; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2016)

Mobile device power models for energy efficient dynamic offloading at runtime. - Farhan Azmat Ali; Pieter Simoens; Tim Verbelen; Piet Demeester; Bart Dhoedt (J. Syst. Softw., 2016)

Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. - Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Steven Bohez; Pieter Simoens; Bart Dhoedt (J. Syst. Softw., 2016)

Sensor fusion for robot control through deep reinforcement learning. - Steven Bohez; Tim Verbelen; Elias De Coninck; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (IROS, 2017)

Decoupled Learning of Environment Characteristics for Safe Exploration. - Pieter Van Molle; Tim Verbelen; Steven Bohez; Sam Leroux; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

Transfer Learning with Binary Neural Networks. - Sam Leroux; Steven Bohez; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (CoRR, 2017)

Towards an evolvable data management system for wind turbines. - Dirk van der Linden; Gert De Sitter; Tim Verbelen; Christof Devriendt; Jan Helsen (Comput. Stand. Interfaces, 2017)

The cascading neural network: building the Internet of Smart Things. - Sam Leroux; Steven Bohez; Elias De Coninck; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (Knowl. Inf. Syst., 2017)

Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. - Pieter Van Molle; Miguel De Strooper; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (MLCN/DLF/iMIMIC@MICCAI, 2018)

Privacy Aware Offloading of Deep Neural Networks. - Sam Leroux; Tim Verbelen; Pieter Simoens; Bart Dhoedt (CoRR, 2018)

Learning to Grasp from a Single Demonstration. - Pieter Van Molle; Tim Verbelen; Elias De Coninck; Cedric De Boom; Pieter Simoens; Bart Dhoedt (CoRR, 2018)

Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. - Xander Steenbrugge; Sam Leroux; Tim Verbelen; Bart Dhoedt (CoRR, 2018)

DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. - Elias De Coninck; Steven Bohez; Sam Leroux; Tim Verbelen; Bert Vankeirsbilck; Pieter Simoens; Bart Dhoedt (J. Syst. Softw., 2018)

Learning to Grasp Arbitrary Household Objects from a Single Demonstration. - Elias De Coninck; Tim Verbelen; Pieter Van Molle; Pieter Simoens; Bart Dhoedt (IROS, 2019)

Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification. - Pieter Van Molle; Tim Verbelen; Cedric De Boom; Bert Vankeirsbilck; Jonas De Vylder; Bart Diricx; Tom Kimpe; Pieter Simoens; Bart Dhoedt (UNSURE/CLIP@MICCAI, 2019)

Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks. - Cedric De Boom; Stephanie Van Laere; Tim Verbelen; Bart Dhoedt (PKDD/ECML Workshops (2), 2019)

Bayesian policy selection using active inference. - Ozan Çatal; Johannes Nauta; Tim Verbelen; Pieter Simoens; Bart Dhoedt (CoRR, 2019)

Software Engineering Practices for Machine Learning. - Peter Kriens; Tim Verbelen (CoRR, 2019)

Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. - Sam Leroux; Steven Bohez; Elias De Coninck; Pieter Van Molle; Bert Vankeirsbilck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Future Gener. Comput. Syst., 2019)

Learning Perception and Planning With Deep Active Inference. - Ozan Çatal; Tim Verbelen; Johannes Nauta; Cedric De Boom; Bart Dhoedt (ICASSP, 2020)

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. - Ozan Çatal; Sam Leroux; Cedric De Boom; Tim Verbelen; Bart Dhoedt (IROS, 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 (IWAI, 2020)

Sleep: Model Reduction in Deep Active Inference. - Samuel T. Wauthier; Ozan Çatal; Cedric De Boom; Tim Verbelen; Bart Dhoedt (IWAI, 2020)

Learning to Catch Piglets in Flight. - Ozan Çatal; Lawrence De Mol; Tim Verbelen; Bart Dhoedt (CoRR, 2020)

Deep Active Inference for Autonomous Robot Navigation. - Ozan Çatal; Samuel Wauthier; Tim Verbelen; Cedric De Boom; Bart Dhoedt (CoRR, 2020)

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. - Cedric De Boom; Samuel Wauthier; Tim Verbelen; Bart Dhoedt (CoRR, 2020)

Learning Generative State Space Models for Active Inference. - Ozan Çatal; Samuel Wauthier; Cedric De Boom; Tim Verbelen; Bart Dhoedt (Frontiers Comput. Neurosci., 2020)

Training binary neural networks with knowledge transfer. - Sam Leroux; Bert Vankeirsbilck; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Neurocomputing, 2020)

Learning robots to grasp by demonstration. - Elias De Coninck; Tim Verbelen; Pieter Van Molle; Pieter Simoens; Bart Dhoedt (Robotics Auton. Syst., 2020)

LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. - Ozan Çatal; Wouter Jansen; Tim Verbelen; Bart Dhoedt; Jan Steckel (ICRA, 2021)

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. - Cedric De Boom; Samuel Wauthier; Tim Verbelen; Bart Dhoedt (IJCNN, 2021)

Contrastive Active Inference. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (NeurIPS, 2021)

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)

Self-Supervised Exploration via Latent Bayesian Surprise. - Pietro Mazzaglia; Ozan Çatal; Tim Verbelen; Bart Dhoedt (CoRR, 2021)

A learning gap between neuroscience and reinforcement learning. - Samuel T. Wauthier; Pietro Mazzaglia; Ozan Çatal; Cedric De Boom; Tim Verbelen; Bart Dhoedt (CoRR, 2021)

Towards bio-inspired unsupervised representation learning for indoor aerial navigation. - Ni Wang; Ozan Çatal; Tim Verbelen; Matthias Hartmann; Bart Dhoedt (CoRR, 2021)

A Survey on Distributed Machine Learning. - Joost Verbraeken; Matthijs Wolting; Jonathan Katzy; Jeroen Kloppenburg; Tim Verbelen; Jan S. Rellermeyer (ACM Comput. Surv., 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)

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks. - Pieter Van Molle; Tim Verbelen; Bert Vankeirsbilck; Jonas De Vylder; Bart Diricx; Tom Kimpe; Pieter Simoens; Bart Dhoedt (Neural Comput. Appl., 2021)

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

Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. - Pieter Van Molle; Cedric De Boom; Tim Verbelen; Bert Vankeirsbilck; Jonas De Vylder; Bart Diricx; Pieter Simoens; Bart Dhoedt (Sensors, 2021)

A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. - Ali Safa; Tim Verbelen; Lars Keuninckx; Ilja Ocket; Matthias Hartmann; André Bourdoux; Francky Catthoor; Georges G. E. Gielen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Curiosity-Driven Exploration via Latent Bayesian Surprise. - Pietro Mazzaglia; Ozan Çatal; Tim Verbelen; Bart Dhoedt (AAAI, 2022)

Bio-inspired monocular drone SLAM. - Ozan Çatal; Tim Verbelen; Ni Wang; Matthias Hartmann; Bart Dhoedt (DroneSE/RAPIDO@HiPEAC, 2022)

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)

Home Run: Finding Your Way Home by Imagining Trajectories. - Daria de Tinguy; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (IWAI, 2022)

Learning Generative Models for Active Inference Using Tensor Networks. - Samuel T. Wauthier; Bram Vanhecke; Tim Verbelen; Bart Dhoedt (IWAI, 2022)

Learning to Encode Vision on the Fly in Unknown Environments: A Continual Learning SLAM Approach for Drones. - Ali Safa; Tim Verbelen; Ilja Ocket; André Bourdoux; Hichem Sahli; Francky Catthoor; Georges G. E. Gielen (SSRR, 2022)

What Machine Learning Can Learn From Software Modularity. - Peter Kriens; Tim Verbelen (Computer, 2022)

Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes. - Ali Safa; Tim Verbelen; Ilja Ocket; André Bourdoux; Hichem Sahli; Francky Catthoor; Georges G. E. Gielen (CoRR, 2022)

Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. - Sai Rajeswar; Pietro Mazzaglia; Tim Verbelen; Alexandre Piché; Bart Dhoedt; Aaron C. Courville; Alexandre Lacoste (CoRR, 2022)

The Free Energy Principle for Perception and Action: A Deep Learning Perspective. - Pietro Mazzaglia; Tim Verbelen; Ozan Çatal; Bart Dhoedt (Entropy, 2022)

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

Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. - Samuel T. Wauthier; Cedric De Boom; Ozan Çatal; Tim Verbelen; Bart Dhoedt (Frontiers Neurorobotics, 2022)

Iterative neural networks for adaptive inference on resource-constrained devices. - Sam Leroux; Tim Verbelen; Pieter Simoens; Bart Dhoedt (Neural Comput. Appl., 2022)

Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. - Ali Safa; Tim Verbelen; Ilja Ocket; André Bourdoux; Francky Catthoor; Georges G. E. Gielen (IEEE Robotics Autom. Lett., 2022)

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

Choreographer: Learning and Adapting Skills in Imagination. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Alexandre Lacoste; Sai Rajeswar (ICLR, 2023)

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. - Sai Rajeswar; Pietro Mazzaglia; Tim Verbelen; Alexandre Piché; Bart Dhoedt; Aaron C. Courville; Alexandre Lacoste (ICML, 2023)

Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning. - Ali Safa; Tim Verbelen; Ilja Ocket; André Bourdoux; Hichem Sahli; Francky Catthoor; Georges G. E. Gielen (ICRA, 2023)

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

Active Inference in Hebbian Learning Networks. - Ali Safa; Tim Verbelen; Lars Keuninckx; Ilja Ocket; André Bourdoux; Francky Catthoor; Georges G. E. Gielen; Gert Cauwenberghs (IWAI, 2023)

Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots. - Adnan Albaba; Marc Bauduin; Tim Verbelen; Hichem Sahli; André Bourdoux (IEEE Access, 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)

FOCUS: Object-Centric World Models for Robotics Manipulation. - Stefano Ferraro; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (CoRR, 2023)

Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. - Daria de Tinguy; Sven Remmery; Pietro Mazzaglia; 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)

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)

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

Free Energy in a Circumplex Model of Emotion. - Candice Pattisapu; Tim Verbelen; Riddhi J. Pitliya; Alex B. Kiefer; Mahault Albarracin (IWAI, 2024)

Exploring and Learning Structure: Active Inference Approach in Navigational Agents. - Daria de Tinguy; Tim Verbelen; Bart Dhoedt (IWAI, 2024)

GenRL: Multimodal-foundation world models for generalization in embodied agents. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Aaron C. Courville; Sai Rajeswar Mudumba (NeurIPS, 2024)

Multimodal foundation world models for generalist embodied agents. - Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Aaron C. Courville; Sai Rajeswar (CoRR, 2024)

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)

Representing Positional Information in Generative World Models for Object Manipulation. - Stefano Ferraro; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt; Sai Rajeswar (CoRR, 2024)

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

Learning dynamic cognitive map with autonomous navigation. - Daria de Tinguy; Tim Verbelen; Bart Dhoedt (Frontiers Comput. Neurosci., 2024)

Planning with tensor networks based on active inference. - Samuel T. Wauthier; Tim Verbelen; Bart Dhoedt; Bram Vanhecke (Mach. Learn. Sci. Technol., 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)

FOCUS: object-centric world models for robotic manipulation. - Stefano Ferraro; Pietro Mazzaglia; Tim Verbelen; Bart Dhoedt (Frontiers Neurorobotics, 2025)

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)

Towards smart and adaptive agents for active sensing on edge devices. - Devendra Vyas; Miguel de Prado; Tim Verbelen (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)

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)

Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics. - Daria de Tinguy; Tim Verbelen; Emilio Gamba; Bart Dhoedt (CoRR, 2025)

Navigation and Exploration with Active Inference: from Biology to Industry. - Daria de Tinguy; Tim Verbelen; Bart Dhoedt (CoRR, 2025)