Ghent University Academic Bibliography

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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). p.3952-3956
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Adapted NMFD update procedure for removing double hits in drum mixture decompositions

Len Vande Veire (UGent) , Cedric De Boom (UGent) and Tijl De Bie (UGent)

(2020) MML2020, 13th International Workshop on Machine Learning and Music at ECML PKDD 2020, Proceedings. p.10-14
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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) IWAI2020, International Workshop on Active Inference, Proceedings.
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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) p.1-10
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Learning Generative State Space Models for Active Inference

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

(2020) FRONTIERS IN COMPUTATIONAL NEUROSCIENCE. 14. p.1-17
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Character-level recurrent neural networks in practice : comparing training and sampling schemes

Cedric De Boom (UGent) , Thomas Demeester (UGent) and Bart Dhoedt (UGent)

(2019) NEURAL COMPUTING & APPLICATIONS. 31(8). p.4001-4017
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Quantifying uncertainty of deep neural networks in skin lesion classification

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

(2019) UNCERTAINTY FOR SAFE UTILIZATION OF MACHINE LEARNING IN MEDICAL IMAGING AND CLINICAL IMAGE-BASED PROCEDURES. In Lecture Notes in Computer Science 11840. p.52-61
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Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

Cedric De Boom (UGent) , Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester (UGent) and Bart Dhoedt (UGent)

(2018) MULTIMEDIA TOOLS AND APPLICATIONS. 77(12). p.15385-15407
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Learning to Grasp from a single demonstration

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

(2018) p.1-10

Academic Bibliography

Deep active inference for autonomous robot navigation

Learning perception and planning with deep active inference

Adapted NMFD update procedure for removing double hits in drum mixture decompositions

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 Generative State Space Models for Active Inference

Character-level recurrent neural networks in practice : comparing training and sampling schemes

Quantifying uncertainty of deep neural networks in skin lesion classification

Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

Learning to Grasp from a single demonstration

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