Tim Verbelen - RankMe

152 papers A* 8A 4B 5Misc 1Journal 95Unranked 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AXIOM: Learning to Play Games in Minutes with Expanding Object-Centric Models. CoRR Conor Heins, Toon Van de Maele, Alexander Tschantz, Hampus Linander, Dimitrije Markovic, Tommaso Salvatori, Corrado Pezzato, Ozan Çatal, Ran Wei, Magnus T. Koudahl, Marco Perin, Karl J. Friston, Tim Verbelen, Christopher L. Buckley
2025	—	`ed.`	Active Inference - 5th International Workshop, IWAI 2024, Oxford, UK, September 9-11, 2024, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Riddhi J. Pitliya, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2025	J	`jnl`	Active Inference and Intentional Behavior. Neural Comput. Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2025	J	`jnl`	Bio-Inspired Topological Autonomous Navigation with Active Inference in Robotics. CoRR Daria de Tinguy, Tim Verbelen, Emilio Gamba, Bart Dhoedt
2025	J	`jnl`	FOCUS: object-centric world models for robotic manipulation. Frontiers Neurorobotics Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2025	J	`jnl`	Gradient-Free De Novo Learning. Entropy Karl J. Friston, Thomas Parr, Conor Heins, Lancelot Da Costa, Tommaso Salvatori, Alexander Tschantz, Magnus T. Koudahl, Toon Van de Maele, Christopher Buckley, Tim Verbelen
2025	J	`jnl`	Mobile Manipulation with Active Inference for Long-Horizon Rearrangement Tasks. CoRR Corrado Pezzato, Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Tim Verbelen
2025	J	`jnl`	Navigation and Exploration with Active Inference: from Biology to Industry. CoRR Daria de Tinguy, Tim Verbelen, Bart Dhoedt
2025	A	`conf`	Representing Positional Information in Generative World Models for Object Manipulation. ECAI Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2025	J	`jnl`	Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation. CoRR Riddhi J. Pitliya, Ozan Çatal, Toon Van de Maele, Corrado Pezzato, Tim Verbelen
2025	J	`jnl`	Towards smart and adaptive agents for active sensing on edge devices. CoRR Devendra Vyas, Miguel de Prado, Tim Verbelen
2025	J	`jnl`	Zero-shot Structure Learning and Planning for Autonomous Robot Navigation using Active Inference. CoRR Daria de Tinguy, Tim Verbelen, Emilio Gamba, Bart Dhoedt
2024	—	`ed.`	Active Inference - 4th International Workshop, IWAI 2023, Ghent, Belgium, September 13-15, 2023, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen, Martijn Wisse
2024	—	`conf`	Belief Sharing: A Blessing or a Curse. IWAI Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Mahault Albarracin, Candice Pattisapu, Tim Verbelen
2024	J	`jnl`	Belief sharing: a blessing or a curse. CoRR Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Mahault Albarracin, Candice Pattisapu, Tim Verbelen
2024	—	`conf`	Exploring and Learning Structure: Active Inference Approach in Navigational Agents. IWAI Daria de Tinguy, Tim Verbelen, Bart Dhoedt
2024	J	`jnl`	Exploring and Learning Structure: Active Inference Approach in Navigational Agents. CoRR Daria de Tinguy, Tim Verbelen, Bart Dhoedt
2024	—	`conf`	Free Energy in a Circumplex Model of Emotion. IWAI Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya, Alex B. Kiefer, Mahault Albarracin
2024	J	`jnl`	Free Energy in a Circumplex Model of Emotion. CoRR Candice Pattisapu, Tim Verbelen, Riddhi J. Pitliya, Alex B. Kiefer, Mahault Albarracin
2024	J	`jnl`	From pixels to planning: scale-free active inference. CoRR Karl J. Friston, Conor Heins, Tim Verbelen, Lancelot Da Costa, Tommaso Salvatori, Dimitrije Markovic, Alexander Tschantz, Magnus T. Koudahl, Christopher Buckley, Thomas Parr
2024	A*	`conf`	GenRL: Multimodal-foundation world models for generalization in embodied agents. NeurIPS Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar Mudumba
2024	J	`jnl`	Learning Dynamic Cognitive Map with Autonomous Navigation. CoRR Daria de Tinguy, Tim Verbelen, Bart Dhoedt
2024	J	`jnl`	Learning dynamic cognitive map with autonomous navigation. Frontiers Comput. Neurosci. Daria de Tinguy, Tim Verbelen, Bart Dhoedt
2024	J	`jnl`	Multimodal foundation world models for generalist embodied agents. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Aaron C. Courville, Sai Rajeswar
2024	J	`jnl`	Object-Centric Scene Representations Using Active Inference. Neural Comput. Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
2024	J	`jnl`	Planning with tensor networks based on active inference. Mach. Learn. Sci. Technol. Samuel T. Wauthier, Tim Verbelen, Bart Dhoedt, Bram Vanhecke
2024	J	`jnl`	Representing Positional Information in Generative World Models for Object Manipulation. CoRR Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Sai Rajeswar
2024	J	`jnl`	Spatial and Temporal Hierarchy for Autonomous Navigation Using Active Inference in Minigrid Environment. Entropy Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
2024	J	`jnl`	Variational Bayes Gaussian Splatting. CoRR Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen
2023	—	`ed.`	Active Inference - Third International Workshop, IWAI 2022, Grenoble, France, September 19, 2022, Revised Selected Papers IWAI Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Noor Sajid, Hideaki Shimazaki, Tim Verbelen
2023	J	`jnl`	Active Inference and Intentional Behaviour. CoRR Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex B. Kiefer, Tim Verbelen, Magnus T. Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett J. Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead
2023	—	`conf`	Active Inference in Hebbian Learning Networks. IWAI Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs
2023	J	`jnl`	Active Inference in Hebbian Learning Networks. CoRR Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen, Gert Cauwenberghs
2023	A*	`conf`	Choreographer: Learning and Adapting Skills in Imagination. ICLR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2023	J	`jnl`	FMCW Radar Sensing for Indoor Drones Using Learned Representations. CoRR Ali Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdoux
2023	J	`jnl`	FOCUS: Object-Centric World Models for Robotics Manipulation. CoRR Stefano Ferraro, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2023	J	`jnl`	Forward-Looking MIMO-SAR for Enhanced Radar Imaging in Autonomous Mobile Robots. IEEE Access Adnan Albaba, Marc Bauduin, Tim Verbelen, Hichem Sahli, André Bourdoux
2023	A*	`conf`	Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning. ICRA Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
2023	J	`jnl`	Inferring Hierarchical Structure in Multi-Room Maze Environments. CoRR Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
2023	—	`conf`	Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments. IWAI Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
2023	J	`jnl`	Integrating cognitive map learning and active inference for planning in ambiguous environments. CoRR Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo
2023	J	`jnl`	Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments. CoRR Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
2023	J	`jnl`	Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly. CoRR Daria de Tinguy, Sven Remmery, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2023	A*	`conf`	Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels. ICML Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2023	J	`jnl`	Object-Centric Scene Representations using Active Inference. CoRR Toon Van de Maele, Tim Verbelen, Pietro Mazzaglia, Stefano Ferraro, Bart Dhoedt
2023	J	`jnl`	Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment. CoRR Daria de Tinguy, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
2023	J	`jnl`	Supervised structure learning. CoRR 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
2023	J	`jnl`	Symmetry and Complexity in Object-Centric Deep Active Inference Models. CoRR Stefano Ferraro, Toon Van de Maele, Tim Verbelen, Bart Dhoedt
2022	—	`conf`	Bio-inspired monocular drone SLAM. DroneSE/RAPIDO@HiPEAC Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt
2022	J	`jnl`	Choreographer: Learning and Adapting Skills in Imagination. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt, Alexandre Lacoste, Sai Rajeswar
2022	J	`jnl`	Computational Optimization of Image-Based Reinforcement Learning for Robotics. Sensors Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	A*	`conf`	Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
2022	—	`conf`	Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. IWAI Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Disentangling Shape and Pose for Object-Centric Deep Active Inference Models. CoRR Stefano Ferraro, Toon Van de Maele, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Embodied Object Representation Learning and Recognition. Frontiers Neurorobotics Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2022	J	`jnl`	Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. IEEE Robotics Autom. Lett. Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
2022	J	`jnl`	Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning. CoRR Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
2022	—	`conf`	Home Run: Finding Your Way Home by Imagining Trajectories. IWAI Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Home Run: Finding Your Way Home by Imagining Trajectories. CoRR Daria de Tinguy, Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Iterative neural networks for adaptive inference on resource-constrained devices. Neural Comput. Appl. Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2022	—	`conf`	Learning Generative Models for Active Inference Using Tensor Networks. IWAI Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	Learning Generative Models for Active Inference using Tensor Networks. CoRR Samuel T. Wauthier, Bram Vanhecke, Tim Verbelen, Bart Dhoedt
2022	—	`conf`	Learning to Encode Vision on the Fly in Unknown Environments: A Continual Learning SLAM Approach for Drones. SSRR Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
2022	J	`jnl`	Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes. CoRR Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges G. E. Gielen
2022	J	`jnl`	Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. Frontiers Neurorobotics Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt
2022	J	`jnl`	The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2022	J	`jnl`	The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2022	J	`jnl`	Unsupervised Model-based Pre-training for Data-efficient Control from Pixels. CoRR Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron C. Courville, Alexandre Lacoste
2022	J	`jnl`	What Machine Learning Can Learn From Software Modularity. Computer Peter Kriens, Tim Verbelen
2021	J	`jnl`	A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. CoRR Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, Matthias Hartmann, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
2021	J	`jnl`	A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ali Safa, Tim Verbelen, Lars Keuninckx, Ilja Ocket, Matthias Hartmann, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
2021	J	`jnl`	A Survey on Distributed Machine Learning. ACM Comput. Surv. Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
2021	J	`jnl`	A learning gap between neuroscience and reinforcement learning. CoRR Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Active Vision for Robot Manipulators Using the Free Energy Principle. Frontiers Neurorobotics Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
2021	A*	`conf`	Contrastive Active Inference. NeurIPS Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Contrastive Active Inference. CoRR Pietro Mazzaglia, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. Sensors Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
2021	—	`conf`	Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. PKDD/ECML Workshops (1) Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2021	J	`jnl`	Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. CoRR Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt
2021	B	`conf`	Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. IJCNN Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach. CoRR Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Francky Catthoor, Georges G. E. Gielen
2021	A*	`conf`	LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. ICRA Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel
2021	J	`jnl`	LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. CoRR Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel
2021	J	`jnl`	Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks. Neural Comput. Appl. Pieter Van Molle, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Tom Kimpe, Pieter Simoens, Bart Dhoedt
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	J	`jnl`	Robot navigation as hierarchical active inference. Neural Networks Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron
2021	J	`jnl`	Self-Supervised Exploration via Latent Bayesian Surprise. CoRR Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt
2021	J	`jnl`	Towards bio-inspired unsupervised representation learning for indoor aerial navigation. CoRR Ni Wang, Ozan Çatal, Tim Verbelen, Matthias Hartmann, Bart Dhoedt
2020	—	`ed.`	Active Inference - First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020, Proceedings IWAI Tim Verbelen, Pablo Lanillos, Christopher L. Buckley, Cedric De Boom
2020	A	`conf`	Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. IROS Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt
2020	J	`jnl`	Deep Active Inference for Autonomous Robot Navigation. CoRR Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt
2020	J	`jnl`	Dynamic Narrowing of VAE Bottlenecks Using GECO and L CoRR Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
2020	J	`jnl`	Learning Generative State Space Models for Active Inference. Frontiers Comput. Neurosci. Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt
2020	Misc	`conf`	Learning Perception and Planning With Deep Active Inference. ICASSP Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
2020	J	`jnl`	Learning Perception and Planning with Deep Active Inference. CoRR Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
2020	J	`jnl`	Learning robots to grasp by demonstration. Robotics Auton. Syst. Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt
2020	J	`jnl`	Learning to Catch Piglets in Flight. CoRR Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt
2020	J	`jnl`	Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks. CoRR Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
2020	—	`conf`	Sleep: Model Reduction in Deep Active Inference. IWAI Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
2020	J	`jnl`	Training binary neural networks with knowledge transfer. Neurocomputing Sam Leroux, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2020	—	`conf`	You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision. IWAI Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
2019	J	`jnl`	A Survey on Distributed Machine Learning. CoRR Joost Verbraeken, Matthijs Wolting, Jonathan Katzy, Jeroen Kloppenburg, Tim Verbelen, Jan S. Rellermeyer
2019	J	`jnl`	Bayesian policy selection using active inference. CoRR Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2019	A	`conf`	Learning to Grasp Arbitrary Household Objects from a Single Demonstration. IROS Elias De Coninck, Tim Verbelen, Pieter Van Molle, Pieter Simoens, Bart Dhoedt
2019	J	`jnl`	Multi-fidelity deep neural networks for adaptive inference in the internet of multimedia things. Future Gener. Comput. Syst. Sam Leroux, Steven Bohez, Elias De Coninck, Pieter Van Molle, Bert Vankeirsbilck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2019	—	`conf`	Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification. UNSURE/CLIP@MICCAI Pieter Van Molle, Tim Verbelen, Cedric De Boom, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Tom Kimpe, Pieter Simoens, Bart Dhoedt
2019	—	`conf`	Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks. PKDD/ECML Workshops (2) Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
2019	J	`jnl`	Software Engineering Practices for Machine Learning. CoRR Peter Kriens, Tim Verbelen
2018	J	`jnl`	DIANNE: a modular framework for designing, training and deploying deep neural networks on heterogeneous distributed infrastructure. J. Syst. Softw. Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2018	J	`jnl`	Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations. CoRR Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt
2018	J	`jnl`	Learning to Grasp from a Single Demonstration. CoRR Pieter Van Molle, Tim Verbelen, Elias De Coninck, Cedric De Boom, Pieter Simoens, Bart Dhoedt
2018	J	`jnl`	Privacy Aware Offloading of Deep Neural Networks. CoRR Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2018	—	`conf`	Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. MLCN/DLF/iMIMIC@MICCAI Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2018	J	`jnl`	Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification. CoRR Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	Decoupled Learning of Environment Characteristics for Safe Exploration. CoRR Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	Sensor Fusion for Robot Control through Deep Reinforcement Learning. CoRR Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	A	`conf`	Sensor fusion for robot control through deep reinforcement learning. IROS Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	The cascading neural network: building the Internet of Smart Things. Knowl. Inf. Syst. Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2017	J	`jnl`	Towards an evolvable data management system for wind turbines. Comput. Stand. Interfaces Dirk van der Linden, Gert De Sitter, Tim Verbelen, Christof Devriendt, Jan Helsen
2017	J	`jnl`	Transfer Learning with Binary Neural Networks. CoRR Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2016	J	`jnl`	Dynamic auto-scaling and scheduling of deadline constrained service workloads on IaaS clouds. J. Syst. Softw. Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Bart Dhoedt
2016	J	`jnl`	Lazy Evaluation of Convolutional Filters. CoRR Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2016	—	`conf`	Middleware Platform for Distributed Applications Incorporating Robots, Sensors and the Cloud. CloudNet Elias De Coninck, Steven Bohez, Sam Leroux, Tim Verbelen, Bert Vankeirsbilck, Bart Dhoedt, Pieter Simoens
2016	J	`jnl`	Mobile device power models for energy efficient dynamic offloading at runtime. J. Syst. Softw. Farhan Azmat Ali, Pieter Simoens, Tim Verbelen, Piet Demeester, Bart Dhoedt
2016	B	`conf`	Multi-fidelity matryoshka neural networks for constrained IoT devices. IJCNN Sam Leroux, Steven Bohez, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Androsgi: bringing the power of OSGi to Android. ETX Steven Bohez, Elias De Coninck, Tim Verbelen, Bart Dhoedt
2015	—	`conf`	DIANNE: Distributed Artificial Neural Networks for the Internet of Things. M4IoT@Middleware Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Sam Leroux, Pieter Simoens
2015	J	`jnl`	Discrete-event simulation for efficient and stable resource allocation in collaborative mobile cloudlets. Simul. Model. Pract. Theory Steven Bohez, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Distributed Neural Networks for Internet of Things: The Big-Little Approach. IoT 360 (2) Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Steven Bohez, Pieter Simoens, Piet Demeester, Bart Dhoedt
2015	—	`ed.`	Proceedings of the 2015 Workshop on Eclipse Technology eXchange, ETX 2015, Pittsburgh, PA, USA, October 27, 2015 ETX Michael G. Burke, Tim Verbelen
2015	—	`conf`	Remote Management of a Large Set of Heterogeneous Devices Using Existing IoT Interoperability Platforms. IoT 360 (2) Heleen Vandaele, Jelle Nelis, Tim Verbelen, Chris Develder
2015	B	`conf`	Resource-constrained classification using a cascade of neural network layers. IJCNN Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
2015	—	`conf`	Workshop preview of the 2015 eclipse technology exchange workshop (ETX 2015). SPLASH (Companion Volume) Tim Verbelen, Michael G. Burke
2014	J	`jnl`	Adaptive deployment and configuration for mobile augmented reality in the cloudlet. J. Netw. Comput. Appl. Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2014	—	`conf`	ETX'14: 2014 workshop on eclipse technology exchange. SPLASH (Companion Volume) Jan S. Rellermeyer, Tim Verbelen
2014	—	`conf`	Enabling component-based mobile cloud computing with the AIOLOS middleware. ARM@Middleware Steven Bohez, Elias De Coninck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2014	B	`conf`	Management of crowdsourced first-person video: street view live. MUM Steven Bohez, Jens Mostaert, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2014	—	`ed.`	Proceedings of the 2014 Workshop on Eclipse Technology eXchange, ETX 2014, Portland, OR, USA, October 20 - 24, 2014 ETX Andrew P. Black, Jan S. Rellermeyer, Tim Verbelen
2014	—	`conf`	Vision: smart home control with head-mounted sensors for vision and brain activity. MCS@MobiSys Pieter Simoens, Elias De Coninck, Thomas Vervust, Jan-Frederik Van Wijmeersch, Tom Ingelbinck, Tim Verbelen, Maaike Op de Beeck, Bart Dhoedt
2013	J	`jnl`	Graph partitioning algorithms for optimizing software deployment in mobile cloud computing. Future Gener. Comput. Syst. Tim Verbelen, Tim Stevens, Filip De Turck, Bart Dhoedt
2013	J	`jnl`	Leveraging Cloudlets for Immersive Collaborative Applications. IEEE Pervasive Comput. Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2013	—	`conf`	Mobile, Collaborative Augmented Reality Using Cloudlets. MOBILWARE Steven Bohez, Joeri De Turck, Tim Verbelen, Pieter Simoens, Bart Dhoedt
2013	B	`conf`	Quality of experience driven control of interactive media stream parameters. IM Bert Vankeirsbilck, Tim Verbelen, Dieter Verslype, Nicolas Staelens, Filip De Turck, Piet Demeester, Bart Dhoedt
2013	—	`conf`	Towards a component-based platform for industrial AR. UbiComp (Adjunct Publication) Tim Verbelen, Pieter Simoens, Bart Dhoedt
2013	—	`conf`	Vision: mapping the world in 3d through first-person vision devices with mercator. MCS Pieter Simoens, Tim Verbelen, Bart Dhoedt
2012	A*	`conf`	A component-based approach towards mobile distributed and collaborative PTAM. ISMAR Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2012	J	`jnl`	AIOLOS: Middleware for improving mobile application performance through cyber foraging. J. Syst. Softw. Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2012	—	`conf`	Adaptive Application Configuration and Distribution in Mobile Cloudlet Middleware. MOBILWARE Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2012	—	`conf`	Cloudlets: bringing the cloud to the mobile user. MCS Tim Verbelen, Pieter Simoens, Filip De Turck, Bart Dhoedt
2011	J	`jnl`	Dynamic deployment and quality adaptation for mobile augmented reality applications. J. Syst. Softw. Tim Verbelen, Tim Stevens, Pieter Simoens, Filip De Turck, Bart Dhoedt
2010	—	`conf`	Adaptive Online Deployment for Resource Constrained Mobile Smart Clients. MOBILWARE Tim Verbelen, Raf Hens, Tim Stevens, Filip De Turck, Bart Dhoedt