Tim Verbelen

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 99

Top Venues

CoRR

IWAI

IROS

Frontiers Neurorobotics

Publications

Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
Object-Centric Scene Representations Using Active Inference. Neural Comput. 36 (4) (2024)
Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment. Entropy 26 (1) (2024)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
Multimodal foundation world models for generalist embodied agents. CoRR (2024)
Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya, Alex B. Kiefer, Mahault Albarracin
Free Energy in a Circumplex Model of Emotion. CoRR (2024)
Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher L. Buckley, Thomas Parr
From pixels to planning: scale-free active inference. CoRR (2024)
Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Mahault Albarracin, Candice Pattisapu, Tim Verbelen
Belief sharing: a blessing or a curse. CoRR (2024)
Adnan Albaba, Marc Bauduin, Tim Verbelen, Hichem Sahli, André Bourdoux
Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots. IEEE Access 11 (2023)
Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
FOCUS: Object-Centric World Models for Robotics Manipulation. CoRR (2023)
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML (2023)
Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs
Active Inference in Hebbian Learning Networks. CoRR (2023)
Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments. CoRR (2023)
Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
Object-Centric Scene Representations using Active Inference. CoRR (2023)
Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
Inferring Hierarchical Structure in Multi-Room Maze Environments. CoRR (2023)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. ICLR (2023)
Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
Integrating cognitive map learning and active inference for planning in ambiguous environments. CoRR (2023)
Ali Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdoux
FMCW Radar Sensing for Indoor Drones Using Learned Representations. CoRR (2023)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning. ICRA (2023)
Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment. CoRR (2023)
Stefano Ferraro, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
Symmetry and Complexity in Object-Centric Deep Active Inference Models. CoRR (2023)
Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
Active Inference and Intentional Behaviour. CoRR (2023)
Daria de Tinguy, Sven Remmery, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. CoRR (2023)
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, Christopher L. Buckley
Supervised structure learning. CoRR (2023)
Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs
Active Inference in Hebbian Learning Networks. IWAI (2023)
Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments. IWAI (2023)
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. CoRR (2022)
Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Home Run: Finding Your Way Home by Imagining Trajectories. CoRR (2022)
Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI (2022)
Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR (2022)
Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt
Learning Generative Models for Active Inference using Tensor Networks. CoRR (2022)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. IEEE Robotics Autom. Lett. 7 (1) (2022)
Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR (2022)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning. CoRR (2022)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
Choreographer: Learning and Adapting Skills in Imagination. CoRR (2022)
Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt
Bio-inspired monocular drone SLAM. DroneSE/RAPIDO@HiPEAC (2022)
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. IWAI (2022)
Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy 24 (2) (2022)
Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt
Learning Generative Models for Active Inference Using Tensor Networks. IWAI (2022)
Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. Frontiers Neurorobotics 16 (2022)
Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Computational Optimization of Image-Based Reinforcement Learning for Robotics. Sensors 22 (19) (2022)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
Learning to Encode Vision on the Fly in Unknown Environments: A Continual Learning SLAM Approach for Drones. SSRR (2022)
Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Home Run: Finding Your Way Home by Imagining Trajectories. IWAI (2022)
Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Iterative neural networks for adaptive inference on resource-constrained devices. Neural Comput. Appl. 34 (13) (2022)
Peter Kriens, Tim Verbelen
What Machine Learning Can Learn From Software Modularity. Computer 55 (9) (2022)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
Embodied Object Representation Learning and Recognition. Frontiers Neurorobotics 16 (2022)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes. CoRR (2022)
Ni Wang, Ozan Çatal, Tim Verbelen, Matthias Hartmann, Bart Dhoedt
Towards bio-inspired unsupervised representation learning for indoor aerial navigation. CoRR (2021)
Pieter Van Molle, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Tom Kimpe, Pieter Simoens, Bart Dhoedt
Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks. Neural Comput. Appl. 33 (16) (2021)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. PKDD/ECML Workshops (1) (2021)
Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. Sensors 21 (19) (2021)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Contrastive Active Inference. NeurIPS (2021)
Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, Matthias Hartmann, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, Matthias Hartmann, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. CoRR (2021)
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. CoRR (2021)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
Active Vision for Robot Manipulators Using the Free Energy Principle. Frontiers Neurorobotics 15 (2021)
Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. CoRR (2021)
Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron
Robot navigation as hierarchical active inference. Neural Networks 142 (2021)
Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
Contrastive Active Inference. CoRR (2021)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. CoRR (2021)
Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. IJCNN (2021)
Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. ICRA (2021)
Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Self-Supervised Exploration via Latent Bayesian Surprise. CoRR (2021)
Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
A learning gap between neuroscience and reinforcement learning. CoRR (2021)
Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt
Learning to Catch Piglets in Flight. CoRR (2020)
Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks. CoRR (2020)
Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. IROS (2020)
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
A Survey on Distributed Machine Learning. ACM Comput. Surv. 53 (2) (2020)
Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt
Learning robots to grasp by demonstration. Robotics Auton. Syst. 127 (2020)
Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt
Deep Active Inference for Autonomous Robot Navigation. CoRR (2020)
Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
Learning Perception and Planning with Deep Active Inference. CoRR (2020)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision. IWAI (2020)
Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
Learning Perception and Planning With Deep Active Inference. ICASSP (2020)
Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Sleep: Model Reduction in Deep Active Inference. IWAI (2020)
Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Learning Generative State Space Models for Active Inference. Frontiers Comput. Neurosci. 14 (2020)
Sam Leroux, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Training binary neural networks with knowledge transfer. Neurocomputing 396 (2020)
Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
Regularization. CoRR (2020)
Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
A Survey on Distributed Machine Learning. CoRR (2019)
Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Bayesian policy selection using active inference. CoRR (2019)
Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks. PKDD/ECML Workshops (2) (2019)
Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt
Learning to Grasp Arbitrary Household Objects from a Single Demonstration. IROS (2019)
Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. 97 (2019)
Pieter Van Molle, Tim Verbelen, Cedric De Boom, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Tom Kimpe, Pieter Simoens, Bart Dhoedt
Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification. UNSURE/CLIP@MICCAI (2019)
Peter Kriens, Tim Verbelen
Software Engineering Practices for Machine Learning. CoRR (2019)
Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. CoRR (2018)
Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. 141 (2018)
Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. MLCN/DLF/iMIMIC@MICCAI (2018)
Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. CoRR (2018)
Pieter Van Molle, Tim Verbelen, Elias De Coninck, Cedric De Boom, Pieter Simoens, Bart Dhoedt
Learning to Grasp from a Single Demonstration. CoRR (2018)
Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Privacy Aware Offloading of Deep Neural Networks. CoRR (2018)
Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. 52 (3) (2017)
Dirk van der Linden, Gert De Sitter, Tim Verbelen, Christof Devriendt, Jan Helsen
Towards an evolvable data management system for wind turbines. Comput. Stand. Interfaces 51 (2017)
Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Sensor fusion for robot control through deep reinforcement learning. IROS (2017)
Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt
Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR (2017)
Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Sensor Fusion for Robot Control through Deep Reinforcement Learning. CoRR (2017)
Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Transfer Learning with Binary Neural Networks. CoRR (2017)
Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Bart Dhoedt
Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. J. Syst. Softw. 118 (2016)
Farhan Azmat Ali, Pieter Simoens, Tim Verbelen, Piet Demeester, Bart Dhoedt
Mobile device power models for energy efficient dynamic offloading at runtime. J. Syst. Softw. 113 (2016)
Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens
Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet (2016)
Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Lazy Evaluation of Convolutional Filters. CoRR (2016)
Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN (2016)
Steven Bohez, Tim Verbelen, Pieter Simoens, Bart Dhoedt
Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. Simul. Model. Pract. Theory 50 (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tim Verbelen