Tim Verbelen

According to our database, Tim Verbelen authored at least 97 papers between 2010 and 2023.

Collaborative distances:

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

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 Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

CoRR, 2023

Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment.

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, Christopher L. Buckley

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

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

FOCUS: Object-Centric World Models for Robotics Manipulation.

Stefano Ferraro, Pietro Mazzaglia, 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

Object-Centric Scene Representations using Active Inference.

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

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

Active Inference in Hebbian Learning Networks.

Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs

Proceedings of the Active Inference - 4th International Workshop, 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

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels.

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste

Proceedings of the International Conference on Machine Learning, 2023

Choreographer: Learning and Adapting Skills in Imagination.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar

Proceedings of the Eleventh International Conference on Learning Representations, 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

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

Iterative neural networks for adaptive inference on resource-constrained devices.

Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Neural Comput. Appl., 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

Embodied Object Representation Learning and Recognition.

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

Frontiers Neurorobotics, 2022

The Free Energy Principle for Perception and Action: A Deep Learning Perspective.

Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Entropy, 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

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

What Machine Learning Can Learn From Software Modularity.

Peter Kriens, Tim Verbelen

Computer, 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

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Learning Generative Models for Active Inference Using Tensor Networks.

Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 2022

Home Run: Finding Your Way Home by Imagining Trajectories.

Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - Third International Workshop, 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

Bio-inspired monocular drone SLAM.

Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt

Proceedings of the DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17, 2022

Curiosity-Driven Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

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

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

Robot navigation as hierarchical active inference.

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

Neural Networks, 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

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

A Survey on Distributed Machine Learning.

Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer

ACM Comput. Surv., 2021

Towards bio-inspired unsupervised representation learning for indoor aerial navigation.

Ni Wang, Ozan Çatal, Tim Verbelen, Matthias Hartmann, 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

Self-Supervised Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

CoRR, 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

Contrastive Active Inference.

Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization.

Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt

Proceedings of the International Joint Conference on Neural Networks, 2021

LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping.

Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning robots to grasp by demonstration.

Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt

Robotics Auton. Syst., 2020

Training binary neural networks with knowledge transfer.

Sam Leroux, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Neurocomputing, 2020

Learning Generative State Space Models for Active Inference.

Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Frontiers Comput. Neurosci., 2020

Dynamic Narrowing of VAE Bottlenecks Using GECO and L₀ Regularization.

Cedric De Boom, Samuel Wauthier, 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

Learning to Catch Piglets in Flight.

Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt

CoRR, 2020

Sleep: Model Reduction in Deep Active Inference.

Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - First International Workshop, 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

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise.

Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Perception and Planning With Deep Active Inference.

Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Software Engineering Practices for Machine Learning.

Peter Kriens, Tim Verbelen

CoRR, 2019

Bayesian policy selection using active inference.

Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt

CoRR, 2019

Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks.

Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Learning to Grasp Arbitrary Household Objects from a Single Demonstration.

Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

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

Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations.

Xander Steenbrugge, Sam Leroux, Tim Verbelen, 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

Privacy Aware Offloading of Deep Neural Networks.

Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt

CoRR, 2018

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

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

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

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

Transfer Learning with Binary Neural Networks.

Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

CoRR, 2017

Decoupled Learning of Environment Characteristics for Safe Exploration.

Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt

CoRR, 2017

Sensor fusion for robot control through deep reinforcement learning.

Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

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

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

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

Multi-fidelity matryoshka neural networks for constrained IoT devices.

Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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

Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016

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

Workshop preview of the 2015 eclipse technology exchange workshop (ETX 2015).

Tim Verbelen, Michael G. Burke

Proceedings of the Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, 2015

DIANNE: Distributed Artificial Neural Networks for the Internet of Things.

Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens

Proceedings of the 2nd Workshop on Middleware for Context-Aware Applications in the IoT, 2015

Remote Management of a Large Set of Heterogeneous Devices Using Existing IoT Interoperability Platforms.

Heleen Vandaele, Jelle Nelis, Tim Verbelen, Chris Develder

Proceedings of the Internet of Things. IoT Infrastructures, 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

Proceedings of the Internet of Things. IoT Infrastructures, 2015

Resource-constrained classification using a cascade of neural network layers.

Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Androsgi: bringing the power of OSGi to Android.

Steven Bohez, Elias De Coninck, Tim Verbelen, Bart Dhoedt

Proceedings of the 2015 Workshop on Eclipse Technology eXchange, 2015

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

ETX'14: 2014 workshop on eclipse technology exchange.

Jan S. Rellermeyer, Tim Verbelen

Proceedings of the SPLASH'14, 2014

Management of crowdsourced first-person video: street view live.

Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 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

Proceedings of the Fifth International Workshop on Mobile Cloud Computing & Services, 2014

Enabling component-based mobile cloud computing with the AIOLOS middleware.

Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Proceedings of the 13th Workshop on Adaptive and Reflective Middleware, 2014

2013

Leveraging Cloudlets for Immersive Collaborative Applications.

Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt

IEEE Pervasive Comput., 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

Mobile, Collaborative Augmented Reality Using Cloudlets.

Steven Bohez, Joeri De Turck, Tim Verbelen, Pieter Simoens, Bart Dhoedt

Proceedings of the 2013 International Conference on MOBILe Wireless MiddleWARE, 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

Proceedings of the 2013 IFIP/IEEE International Symposium on Integrated Network Management (IM 2013), 2013

Towards a component-based platform for industrial AR.

Tim Verbelen, Pieter Simoens, Bart Dhoedt

Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2012

AIOLOS: Middleware for improving mobile application performance through cyber foraging.

Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt

J. Syst. Softw., 2012

Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware.

Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt

Proceedings of the Mobile Wireless Middleware, Operating Systems, and Applications, 2012

A component-based approach towards mobile distributed and collaborative PTAM.

Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt

Proceedings of the 11th IEEE International Symposium on Mixed and Augmented Reality, 2012

2011

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

2010

Adaptive Online Deployment for Resource Constrained Mobile Smart Clients.

Tim Verbelen, Raf Hens, Tim Stevens, Filip De Turck, Bart Dhoedt

Proceedings of the Mobile Wireless Middleware, Operating Systems, and Applications - Third International Conference, Mobilware 2010, Chicago, IL, USA, June 30, 2010