| Robot navigation as hierarchical active inference O Çatal, T Verbelen, T Van de Maele, B Dhoedt, A Safron Neural Networks 142, 192-204, 2021 | 76 | 2021 |
| The free energy principle for perception and action: A deep learning perspective P Mazzaglia, T Verbelen, O Catal, B Dhoedt Entropy 24 (2), 301, 2022 | 72 | 2022 |
| Learning generative state space models for active inference O Çatal, S Wauthier, C De Boom, T Verbelen, B Dhoedt Frontiers in Computational Neuroscience 14, 574372, 2020 | 46 | 2020 |
| Learning perception and planning with deep active inference O Çatal, T Verbelen, J Nauta, C De Boom, B Dhoedt ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 40 | 2020 |
| 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, 642780, 2021 | 30 | 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 Frontiers in Systems Neuroscience 16, 787659, 2022 | 29 | 2022 |
| Bayesian policy selection using active inference O Çatal, J Nauta, T Verbelen, P Simoens, B Dhoedt arXiv preprint arXiv:1904.08149, 2019 | 29 | 2019 |
| Curiosity-driven exploration via latent bayesian surprise P Mazzaglia, O Catal, T Verbelen, B Dhoedt Proceedings of the AAAI conference on artificial intelligence 36 (7), 7752-7760, 2022 | 25 | 2022 |
| 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 | 23 | 2021 |
| Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise O Catal, S Leroux, C De Boom, T Verbelen, B Dhoedt 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 16 | 2020 |
| Mu-opioid receptor and receptor tyrosine kinase crosstalk: Implications in mechanisms of opioid tolerance, reduced analgesia to neuropathic pain, dependence, and reward MC Gamble, BR Williams, N Singh, L Posa, Z Freyberg, RW Logan, ... Frontiers in Systems Neuroscience 16, 1059089, 2022 | 14 | 2022 |
| Embodied object representation learning and recognition T Van de Maele, T Verbelen, O Çatal, B Dhoedt Frontiers in Neurorobotics 16, 840658, 2022 | 12 | 2022 |
| Deep active inference for autonomous robot navigation O Çatal, S Wauthier, T Verbelen, C De Boom, B Dhoedt arXiv preprint arXiv:2003.03220, 2020 | 10 | 2020 |
| Sleep: Model reduction in deep active inference ST Wauthier, O Çatal, C De Boom, T Verbelen, B Dhoedt Active Inference: First International Workshop, IWAI 2020, Co-located with …, 2020 | 9 | 2020 |
| Disentangling what and where for 3d object-centric representations through active inference TV de Maele, T Verbelen, O Catal, B Dhoedt Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | 8 | 2021 |
| FMCW radar sensing for indoor drones using variational auto-encoders A Safa, T Verbelen, O Çatal, T Van de Maele, M Hartmann, B Dhoedt, ... 2023 IEEE Radar Conference (RadarConf23), 1-6, 2023 | 5 | 2023 |
| A learning gap between neuroscience and reinforcement learning ST Wauthier, P Mazzaglia, O Catal, C De Boom, T Verbelen, B Dhoedt arXiv preprint arXiv:2104.10995, 2021 | 5 | 2021 |
| Chunking space and time with information geometry T Verbelen, D De Tinguy, P Mazzaglia, O Çatal, A Safron NeurIPS2022: the 36th Conference on Neural Information Processing Systems, 2022 | 4 | 2022 |
| FMCW Radar Sensing for Indoor Drones Using Learned Representations A Safa, T Verbelen, O Catal, T Van de Maele, M Hartmann, B Dhoedt, ... arXiv preprint arXiv:2301.02451, 2023 | 3 | 2023 |
| Bio-inspired monocular drone SLAM O Catal, T Verbelen, N Wang, M Hartmann, B Dhoedt System Engineering for constrained embedded systems, 21-26, 2022 | 3 | 2022 |
Tim VerbelenVERSES Research LabVerified email at verses.io
