Ghent University Academic Bibliography

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Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Pieter Van Molle (UGent) , Tim Verbelen (UGent) , Bert Vankeirsbilck (UGent) , Jonas De Vylder (UGent) , Bart Diricx, Tom Kimpe, Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2021) NEURAL COMPUTING & APPLICATIONS.
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Self-supervised exploration via latent Bayesian surprise

Pietro Mazzaglia (UGent) , Ozan Catal (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2021) p.1-14
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Active Vision for Robot Manipulators Using the Free Energy Principle

Toon Van de Maele (UGent) , Tim Verbelen (UGent) , Ozan Catal (UGent) , Cedric De Boom (UGent) and Bart Dhoedt (UGent)

(2021) FRONTIERS IN NEUROROBOTICS. 15. p.1-18
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Anomaly detection for autonomous guided vehicles using Bayesian surprise

Ozan Catal (UGent) , Sam Leroux (UGent) , Cedric De Boom (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2020) 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). In Proceedings of the International Conference on Intelligent Robots and Systems p.8148-8153
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Sleep : model reduction in deep active inference

Samuel Wauthier (UGent) , Ozan Catal (UGent) , Cedric De Boom (UGent) , Tim Verbelen (UGent) and Bart Dhoedt (UGent)

(2020) Active inference, First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020. In Communications in Computer and Information Science 1326. p.72-83
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You only look as much as you have to : using the free energy principle for active vision

Toon Van de Maele (UGent) , Tim Verbelen (UGent) , Ozan Catal (UGent) , Cedric De Boom (UGent) and Bart Dhoedt (UGent)

(2020) Active inference, First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020. In Communications in Computer and Information Science 1326. p.92-100
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Learning robots to grasp by demonstration

Elias De Coninck (UGent) , Tim Verbelen (UGent) , Pieter Van Molle (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2020) ROBOTICS AND AUTONOMOUS SYSTEMS. 127.
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Training binary neural networks with knowledge transfer

Sam Leroux (UGent) , Bert Vankeirsbilck (UGent) , Tim Verbelen (UGent) , Pieter Simoens (UGent) and Bart Dhoedt (UGent)

(2020) NEUROCOMPUTING. 396. p.534-541
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Deep active inference for autonomous robot navigation

Ozan Catal (UGent) , Samuel Wauthier (UGent) , Tim Verbelen (UGent) , Cedric De Boom (UGent) and Bart Dhoedt (UGent)

(2020) the Bridging AI and Cognitive Science (BAICS) Workshop 2020, Proceedings.
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Learning perception and planning with deep active inference

Ozan Catal (UGent) , Tim Verbelen (UGent) , Johannes Nauta (UGent) , Cedric De Boom (UGent) and Bart Dhoedt (UGent)

(2020) ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). In International Conference on Acoustics Speech and Signal Processing ICASSP p.3952-3956

Academic Bibliography

Leveraging the Bhattacharyya coefficient for uncertainty quantification in deep neural networks

Self-supervised exploration via latent Bayesian surprise

Active Vision for Robot Manipulators Using the Free Energy Principle

Anomaly detection for autonomous guided vehicles using Bayesian surprise

Sleep : model reduction in deep active inference

You only look as much as you have to : using the free energy principle for active vision

Learning robots to grasp by demonstration

Training binary neural networks with knowledge transfer

Deep active inference for autonomous robot navigation

Learning perception and planning with deep active inference

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