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 |
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 |
Embodied object representation learning and recognition T Van de Maele, T Verbelen, O Çatal, B Dhoedt Frontiers in Neurorobotics 16, 840658, 2022 | 12 | 2022 |
Disentangling shape and pose for object-centric deep active inference models S Ferraro, T Van de Maele, P Mazzaglia, T Verbelen, B Dhoedt International Workshop on Active Inference, 32-49, 2022 | 9 | 2022 |
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 | 8* | 2023 |
Symmetry and complexity in object-centric deep active inference models S Ferraro, T Van de Maele, T Verbelen, B Dhoedt Interface Focus 13 (3), 20220077, 2023 | 8 | 2023 |
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 |
Computational optimization of image-based reinforcement learning for robotics S Ferraro, T Van de Maele, P Mazzaglia, T Verbelen, B Dhoedt Sensors 22 (19), 7382, 2022 | 7 | 2022 |
Neural representation in active inference: Using generative models to interact with—and understand—the lived world G Pezzulo, L D'Amato, F Mannella, M Priorelli, T Van de Maele, ... Annals of the New York Academy of Sciences 1534 (1), 45-68, 2024 | 6 | 2024 |
Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment D de Tinguy, T Van de Maele, T Verbelen, B Dhoedt Entropy 26 (1), 2024 | 4 | 2024 |
Integrating cognitive map learning and active inference for planning in ambiguous environments T Van de Maele, B Dhoedt, T Verbelen, G Pezzulo International Workshop on Active Inference, 204-217, 2023 | 3 | 2023 |
You Only Look as Much as You Have To: Using The Free Energy Principle for Active Vision T Van de Maele, T Verbelen, O Çatal, C De Boom, B Dhoedt International Workshop on Active Inference, 92-100, 2020 | 2 | 2020 |
Object-centric scene representations using active inference T Van de Maele, T Verbelen, P Mazzaglia, S Ferraro, B Dhoedt Neural Computation 36 (4), 677-704, 2024 | 1 | 2024 |
Bridging cognitive maps: A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit T Van de Maele, B Dhoedt, T Verbelen, G Pezzulo arXiv preprint arXiv:2308.11463, 2023 | 1 | 2023 |
Variational Bayes Gaussian Splatting T Van de Maele, O Catal, A Tschantz, CL Buckley, T Verbelen arXiv preprint arXiv:2410.03592, 2024 | | 2024 |
Belief sharing: a blessing or a curse O Catal, T Van de Maele, RJ Pitliya, M Albarracin, C Pattisapu, T Verbelen arXiv preprint arXiv:2407.02465, 2024 | | 2024 |
Active Inference for Scene Understanding T Van de Maele Ghent University, 2024 | | 2024 |
Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments D de Tinguy, T Van de Maele, T Verbelen, B Dhoedt arXiv preprint arXiv:2309.09864, 2023 | | 2023 |
Inferring Hierarchical Structure in Multi-Room Maze Environments D de Tinguy, T Van de Maele, T Verbelen, B Dhoedt arXiv preprint arXiv:2306.13546, 2023 | | 2023 |
Enforcing Object Permanence using Hierarchical Object-Centric Generative Models T Van de Maele, S Ferraro, T Verbelen, B Dhoedt SVRHM 2022 Workshop@ NeurIPS, 2022 | | 2022 |