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Ozan Çatal
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2020 – today
- 2024
- [i12]Ozan Çatal, Toon Van de Maele, Riddhi J. Pitliya, Mahault Albarracin, Candice Pattisapu, Tim Verbelen:
Belief sharing: a blessing or a curse. CoRR abs/2407.02465 (2024) - 2023
- [i11]Ali Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdoux:
FMCW Radar Sensing for Indoor Drones Using Learned Representations. CoRR abs/2301.02451 (2023) - 2022
- [j6]Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. Entropy 24(2): 301 (2022) - [j5]Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. Frontiers Neurorobotics 16: 795846 (2022) - [j4]Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
Embodied Object Representation Learning and Recognition. Frontiers Neurorobotics 16: 840658 (2022) - [c8]Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Curiosity-Driven Exploration via Latent Bayesian Surprise. AAAI 2022: 7752-7760 - [c7]Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt:
Bio-inspired monocular drone SLAM. DroneSE/RAPIDO@HiPEAC 2022: 21-26 - [i10]Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
The Free Energy Principle for Perception and Action: A Deep Learning Perspective. CoRR abs/2207.06415 (2022) - 2021
- [j3]Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt:
Active Vision for Robot Manipulators Using the Free Energy Principle. Frontiers Neurorobotics 15: 642780 (2021) - [j2]Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron:
Robot navigation as hierarchical active inference. Neural Networks 142: 192-204 (2021) - [c6]Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel:
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. ICRA 2021: 6739-6745 - [c5]Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. PKDD/ECML Workshops (1) 2021: 701-714 - [i9]Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt:
Self-Supervised Exploration via Latent Bayesian Surprise. CoRR abs/2104.07495 (2021) - [i8]Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
A learning gap between neuroscience and reinforcement learning. CoRR abs/2104.10995 (2021) - [i7]Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel:
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping. CoRR abs/2105.03265 (2021) - [i6]Ni Wang, Ozan Çatal, Tim Verbelen, Matthias Hartmann, Bart Dhoedt:
Towards bio-inspired unsupervised representation learning for indoor aerial navigation. CoRR abs/2106.09326 (2021) - [i5]Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt:
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference. CoRR abs/2108.11762 (2021) - 2020
- [j1]Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Learning Generative State Space Models for Active Inference. Frontiers Comput. Neurosci. 14: 574372 (2020) - [c4]Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt:
Learning Perception and Planning With Deep Active Inference. ICASSP 2020: 3952-3956 - [c3]Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. IROS 2020: 8148-8153 - [c2]Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt:
Sleep: Model Reduction in Deep Active Inference. IWAI 2020: 72-83 - [c1]Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt:
You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision. IWAI 2020: 92-100 - [i4]Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt:
Learning to Catch Piglets in Flight. CoRR abs/2001.10220 (2020) - [i3]Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt:
Learning Perception and Planning with Deep Active Inference. CoRR abs/2001.11841 (2020) - [i2]Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt:
Deep Active Inference for Autonomous Robot Navigation. CoRR abs/2003.03220 (2020)
2010 – 2019
- 2019
- [i1]Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt:
Bayesian policy selection using active inference. CoRR abs/1904.08149 (2019)
Coauthor Index
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