| 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 | 75 | 2022 |
| Curiosity-Driven Exploration via Latent Bayesian Surprise P Mazzaglia, O Catal, T Verbelen, B Dhoedt Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22), 2022 | 31 | 2022 |
| Contrastive Active Inference P Mazzaglia, T Verbelen, B Dhoedt Advances in Neural Information Processing Systems - NeurIPS 2021 34, 2021 | 29 | 2021 |
| TORCH: a TOSCA-Based Orchestrator of Multi-Cloud Containerised Applications O Tomarchio, D Calcaterra, G Di Modica, P Mazzaglia Journal of Grid Computing 19 (1), 2021 | 29 | 2021 |
| Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels S Rajeswar, P Mazzaglia, T Verbelen, A Piché, B Dhoedt, A Courville, ... International Conference on Machine Learning - ICML 2023, 2023 | 24* | 2023 |
| Choreographer: Learning and Adapting Skills in Imagination P Mazzaglia, T Verbelen, B Dhoedt, A Lacoste, S Rajeswar 11th International Conference on Learning Representations - ICLR 2023, 2023 | 20 | 2023 |
| Maximum causal entropy inverse constrained reinforcement learning M Baert, P Mazzaglia, S Leroux, P Simoens Under review, 2023 | 15 | 2023 |
| FOCUS: Object-centric world models for robotics manipulation S Ferraro*, P Mazzaglia*, T Verbelen, B Dhoedt Robot Representations workshop @ RSS 2023 (best paper), 2023 | 10 | 2023 |
| 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 | 8 | 2022 |
| 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 |
| Chunking space and time with information geometry T Verbelen, D De Tinguy, P Mazzaglia, O Çatal, A Safron InfoCog @ NeurIPS 2022 Spotlight, 2022 | 5 | 2022 |
| A learning gap between neuroscience and reinforcement learning ST Wauthier, P Mazzaglia, O Çatal, C De Boom, T Verbelen, B Dhoedt How Can Findings About The Brain Improve AI Systems? Workshop - ICLR 2021, 2021 | 5 | 2021 |
| Enabling Container Cluster Interoperability using a TOSCA Orchestration Framework D Calcaterra, G Di Modica, P Mazzaglia, O Tomarchio Proceedings of the 10th International Conference on Cloud Computing and …, 2020 | 4 | 2020 |
| GenRL: Multimodal-foundation world models for generalization in embodied agents P Mazzaglia, T Verbelen, B Dhoedt, A Courville, S Rajeswar Advances in Neural Information Processing Systems - NeurIPS 2024, 2024 | 3* | 2024 |
| Information-driven Affordance Discovery for Efficient Robotic Manipulation P Mazzaglia, T Cohen, D Dijkman IEEE ICRA 2024, 2024 | 3 | 2024 |
| 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 | 2 | 2024 |
| Home run: Finding your way home by imagining trajectories D Tinguy, P Mazzaglia, T Verbelen, B Dhoedt International Workshop on Active Inference, 210-221, 2022 | 2 | 2022 |
| Redundancy-aware Action Spaces for Robot Learning P Mazzaglia*, N Backshall*, X Ma, S James IEEE Robotics Automation Letters (RA-L), 2024 | 1 | 2024 |
| AFFORDANCE-DRIVEN MODULAR REINFORCEMENT LEARNING P Mazzaglia, TS Cohen, DHF Dijkman US Patent App. 18/391,129, 2024 | | 2024 |
| Representing Positional Information in Generative World Models for Object Manipulation S Ferraro, P Mazzaglia, T Verbelen, B Dhoedt, S Rajeswar IMOL workshop @ NeurIPS, 2024 | | 2024 |
Tim VerbelenVERSES Research LabVerified email at verses.io
