Ozan Çatal - RankMe

31 papers A* 2A 1Misc 1Journal 22Unranked 5

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	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`	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
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	J	`jnl`	Variational Bayes Gaussian Splatting. CoRR Toon Van de Maele, Ozan Çatal, Alexander Tschantz, Christopher L. Buckley, Tim Verbelen
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
2022	—	`conf`	Bio-inspired monocular drone SLAM. DroneSE/RAPIDO@HiPEAC Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt
2022	A*	`conf`	Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI Pietro Mazzaglia, Ozan Çatal, 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`	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
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	—	`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	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`	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	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`	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 to Catch Piglets in Flight. CoRR Ozan Çatal, Lawrence De Mol, 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	—	`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`	Bayesian policy selection using active inference. CoRR Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt