Dynamic Narrowing of VAE Bottlenecks Using GECO and $L_0$ Regularization

Mar 25, 2020
Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt

* 16 pages, 3 figures, 1 table 

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Deep Active Inference for Autonomous Robot Navigation

Mar 06, 2020
Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt

* workshop paper at BAICS at ICLR 2020 

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Learning Perception and Planning with Deep Active Inference

Feb 24, 2020
Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt

* Accepted on ICASSP 2020 

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Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks

Feb 21, 2020
Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt

* 8 pages, 2 figures, 3 tables, 2 appendices 

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Learning to Catch Piglets in Flight

Jan 28, 2020
Ozan Çatal, Lawrence De Mol, Tim Verbelen, Bart Dhoedt

* Fast Neural Perception and Learning for Intelligent Vehicles and Robotics workshop at IROS 2019 

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Bayesian policy selection using active inference

Apr 25, 2019
Ozan Çatal, Johannes Nauta, Tim Verbelen, Pieter Simoens, Bart Dhoedt

* ICLR 2019 Workshop on Structure & priors in reinforcement learning 

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Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations

Nov 12, 2018
Xander Steenbrugge, Sam Leroux, Tim Verbelen, Bart Dhoedt


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Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification

Sep 11, 2018
Pieter Van Molle, Miguel De Strooper, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

* 8 pages, 6 figures, Workshop on Interpretability of Machine Intelligence in Medical Image Computing at MICCAI 2018 

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Learning to Grasp from a Single Demonstration

Jun 09, 2018
Pieter Van Molle, Tim Verbelen, Elias De Coninck, Cedric De Boom, Pieter Simoens, Bart Dhoedt

* 10 pages, 5 figures, IAS-15 2018 workshop on Learning Applications for Intelligent Autonomous Robots 

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Privacy Aware Offloading of Deep Neural Networks

May 30, 2018
Sam Leroux, Tim Verbelen, Pieter Simoens, Bart Dhoedt

* ICML 2018 Privacy in Machine Learning and Artificial Intelligence workshop 

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IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification

Apr 26, 2018
Sam Leroux, Pavlo Molchanov, Pieter Simoens, Bart Dhoedt, Thomas Breuel, Jan Kautz

* ICLR 2018 Workshop track 

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Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes

Jan 09, 2018
Cedric De Boom, Thomas Demeester, Bart Dhoedt

* 23 pages, 11 figures, 4 tables 

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Transfer Learning with Binary Neural Networks

Nov 29, 2017
Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

* Machine Learning on the Phone and other Consumer Devices, NIPS2017 Workshop 

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Decoupled Learning of Environment Characteristics for Safe Exploration

Aug 09, 2017
Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt

* 4 pages, 4 figures, ICML 2017 workshop on Reliable Machine Learning in the Wild 

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Sensor Fusion for Robot Control through Deep Reinforcement Learning

Mar 13, 2017
Steven Bohez, Tim Verbelen, Elias De Coninck, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

* 6 pages, 6 figures, submitted to IROS 2017 

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Representation learning for very short texts using weighted word embedding aggregation

Jul 02, 2016
Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt

* 8 pages, 3 figures, 2 tables, appears in Pattern Recognition Letters 

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Lazy Evaluation of Convolutional Filters

May 27, 2016
Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt


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Efficiency Evaluation of Character-level RNN Training Schedules

May 09, 2016
Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt

* 3 pages, 3 figures 

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Learning Semantic Similarity for Very Short Texts

Dec 02, 2015
Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt

* 6 pages, 5 figures, 3 tables, ReLSD workshop at ICDM 15 

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