Ozan Çatal

According to our database, Ozan Çatal authored at least 21 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

FMCW Radar Sensing for Indoor Drones Using Learned Representations.

Ali Safa, Tim Verbelen, Ozan Çatal, Toon Van de Maele, Matthias Hartmann, Bart Dhoedt, André Bourdoux

CoRR, 2023

2022

Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference.

Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Frontiers Neurorobotics, 2022

Embodied Object Representation Learning and Recognition.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Frontiers Neurorobotics, 2022

The Free Energy Principle for Perception and Action: A Deep Learning Perspective.

Pietro Mazzaglia, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Entropy, 2022

Bio-inspired monocular drone SLAM.

Ozan Çatal, Tim Verbelen, Ni Wang, Matthias Hartmann, Bart Dhoedt

Proceedings of the DroneSE and RAPIDO '22: System Engineering for constrained embedded systems, Budapest Hungary, January 17, 2022

Curiosity-Driven Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robot navigation as hierarchical active inference.

Ozan Çatal, Tim Verbelen, Toon Van de Maele, Bart Dhoedt, Adam Safron

Neural Networks, 2021

Active Vision for Robot Manipulators Using the Free Energy Principle.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt

Frontiers Neurorobotics, 2021

Towards bio-inspired unsupervised representation learning for indoor aerial navigation.

Ni Wang, Ozan Çatal, Tim Verbelen, Matthias Hartmann, Bart Dhoedt

CoRR, 2021

A learning gap between neuroscience and reinforcement learning.

Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

CoRR, 2021

Self-Supervised Exploration via Latent Bayesian Surprise.

Pietro Mazzaglia, Ozan Çatal, Tim Verbelen, Bart Dhoedt

CoRR, 2021

Disentangling What and Where for 3D Object-Centric Representations Through Active Inference.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Bart Dhoedt

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping.

Ozan Çatal, Wouter Jansen, Tim Verbelen, Bart Dhoedt, Jan Steckel

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Learning Generative State Space Models for Active Inference.

Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Frontiers Comput. Neurosci., 2020

Deep Active Inference for Autonomous Robot Navigation.

Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt

CoRR, 2020

Learning to Catch Piglets in Flight.

Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt

CoRR, 2020

Sleep: Model Reduction in Deep Active Inference.

Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Proceedings of the Active Inference - First International Workshop, 2020

You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision.

Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt

Proceedings of the Active Inference - First International Workshop, 2020

Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise.

Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Perception and Planning With Deep Active Inference.

Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Bayesian policy selection using active inference.

Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt

CoRR, 2019