Tim Verbelen
Tim Verbelen
Ghent University - imec
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Cited by
The value of measuring uncertainty in neural networks in dermoscopy
P Van Molle, L Brochez, T Verbelen, C De Boom, B Vankeirsbilck, ...
Journal of the American Academy of Dermatology, 2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
P Mazzaglia, T Verbelen, O Çatal, B Dhoedt
Entropy 24 (2), 301, 2022
Iterative neural networks for adaptive inference on resource-constrained devices
S Leroux, T Verbelen, P Simoens, B Dhoedt
Neural Computing and Applications, 1-16, 2022
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference
ST Wauthier, C De Boom, O Çatal, T Verbelen, B Dhoedt
Frontiers in Neurorobotics, 39, 2022
Curiosity-Driven Exploration via Latent Bayesian Surprise
P Mazzaglia, O Catal, T Verbelen, B Dhoedt
Embodied Object Representation Learning and Recognition
T Van de Maele, T Verbelen, O Çatal, B Dhoedt
Frontiers in Neurorobotics 16, 2022
Contrastive Active Inference
P Mazzaglia, T Verbelen, B Dhoedt
Advances in Neural Information Processing Systems 34, 2021
Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach
A Safa, T Verbelen, I Ocket, A Bourdoux, F Catthoor, GGE Gielen
IEEE Robotics and Automation Letters 7 (1), 303-310, 2021
Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal …
A Safron, O Çatal, T Verbelen
PsyArXiv, 2021
Robot navigation as hierarchical active inference
O Çatal, T Verbelen, T Van de Maele, B Dhoedt, A Safron
Neural Networks 142, 192-204, 2021
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
TV Maele, T Verbelen, O Çatal, B Dhoedt
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance
A Safa, T Verbelen, L Keuninckx, I Ocket, M Hartmann, A Bourdoux, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021
Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks
P Van Molle, T Verbelen, B Vankeirsbilck, J De Vylder, B Diricx, T Kimpe, ...
Neural Computing and Applications 33 (16), 10259-10275, 2021
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization
C De Boom, S Wauthier, T Verbelen, B Dhoedt
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
Towards bio-inspired unsupervised representation learning for indoor aerial navigation
N Wang, O Catal, T Verbelen, M Hartmann, B Dhoedt
arXiv preprint arXiv:2106.09326, 2021
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
O Çatal, W Jansen, T Verbelen, B Dhoedt, J Steckel
2021 IEEE International Conference on Robotics and Automation (ICRA), 6739-6745, 2021
A learning gap between neuroscience and reinforcement learning
ST Wauthier, P Mazzaglia, O Çatal, C De Boom, T Verbelen, B Dhoedt
arXiv preprint arXiv:2104.10995, 2021
Self-Supervised Exploration via Latent Bayesian Surprise
P Mazzaglia, O Catal, T Verbelen, B Dhoedt
arXiv preprint arXiv:2104.07495, 2021
Data-Efficient Sensor Upgrade Path Using Knowledge Distillation
P Van Molle, C De Boom, T Verbelen, B Vankeirsbilck, J De Vylder, ...
Sensors 21 (19), 6523, 2021
Active Vision for Robot Manipulators using the Free Energy Principle
T Van de Maele, T Verbelen, O Çatal, C De Boom, B Dhoedt
Frontiers in Neurorobotics 15, 14, 2021
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