Cedric De Boom

According to our database, Cedric De Boom authored at least 31 papers between 2014 and 2023.

Collaborative distances:

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

2023

Changing Data Sources in the Age of Machine Learning for Official Statistics.

Cedric De Boom, Michael Reusens

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

Neural Bayesian Network Understudy.

Paloma Rabaey, Cedric De Boom, Thomas Demeester

CoRR, 2022

Audio-guided Album Cover Art Generation with Genetic Algorithms.

James Marien, Sam Leroux, Bart Dhoedt, Cedric De Boom

CoRR, 2022

2021

Data-Efficient Sensor Upgrade Path Using Knowledge Distillation.

Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt

Sensors, 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

A learning gap between neuroscience and reinforcement learning.

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

CoRR, 2021

Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization.

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

Proceedings of the International Joint Conference on Neural Networks, 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

Dynamic Narrowing of VAE Bottlenecks Using GECO and L₀ Regularization.

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

CoRR, 2020

Deep Active Inference for Autonomous Robot Navigation.

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

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

Cedric De Boom, Thomas Demeester, Bart Dhoedt

Neural Comput. Appl., 2019

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

Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification.

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

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

2018

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

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

Multim. Tools Appl., 2018

Learning to Grasp from a Single Demonstration.

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

CoRR, 2018

Performance Characterization of Low-Latency Adaptive Streaming From Video Portals.

Jeroen van der Hooft, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck

IEEE Access, 2018

An HTTP/2 push-based framework for low-latency adaptive streaming through user profiling.

Jeroen van der Hooft, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck

Proceedings of the 2018 IEEE/IFIP Network Operations and Management Symposium, 2018

Low-latency delivery of news-based video content.

Jeroen van der Hooft, Dries Pauwels, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck

Proceedings of the 9th ACM Multimedia Systems Conference, 2018

2016

Representation learning for very short texts using weighted word embedding aggregation.

Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt

Pattern Recognit. Lett., 2016

Lazy Evaluation of Convolutional Filters.

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

CoRR, 2016

Efficiency Evaluation of Character-level RNN Training Schedules.

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

CoRR, 2016

Structured Output Prediction for Semantic Perception in Autonomous Vehicles.

Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Semantics-driven Event Clustering in Twitter Feeds.

Cedric De Boom, Steven Van Canneyt, Bart Dhoedt

Proceedings of the the 5th Workshop on Making Sense of Microposts co-located with the 24th International World Wide Web Conference (WWW 2015), 2015

Optimizing the Popularity of Twitter Messages through User Categories.

Rupert Lemahieu, Steven Van Canneyt, Cedric De Boom, Bart Dhoedt

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Learning Semantic Similarity for Very Short Texts.

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

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Robustifying the Viterbi Algorithm.

Cedric De Boom, Jasper De Bock, Arthur Van Camp, Gert de Cooman

Proceedings of the Probabilistic Graphical Models - 7th European Workshop, 2014