Cedric De Boom

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 32

Top Topics

Autonomous Robot Navigation

Top Venues

Frontiers Neurorobotics

Publications

Cedric De Boom, Michael Reusens
Changing Data Sources in the Age of Machine Learning for Official Statistics. CoRR (2023)
James Marien, Sam Leroux, Bart Dhoedt, Cedric De Boom
Audio-guided Album Cover Art Generation with Genetic Algorithms. CoRR (2022)
Paloma Rabaey, Cedric De Boom, Thomas Demeester
Neural Bayesian Network Understudy. CoRR (2022)
Samuel T. Wauthier, Cedric De Boom, Ozan Çatal, Tim Verbelen, Bart Dhoedt
Model Reduction Through Progressive Latent Space Pruning in Deep Active Inference. Frontiers Neurorobotics 16 (2022)
Pieter Van Molle, Cedric De Boom, Tim Verbelen, Bert Vankeirsbilck, Jonas De De Vylder, Bart Diricx, Pieter Simoens, Bart Dhoedt
Data-Efficient Sensor Upgrade Path Using Knowledge Distillation. Sensors 21 (19) (2021)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
Active Vision for Robot Manipulators Using the Free Energy Principle. Frontiers Neurorobotics 15 (2021)
Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization. IJCNN (2021)
Samuel T. Wauthier, Pietro Mazzaglia, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
A learning gap between neuroscience and reinforcement learning. CoRR (2021)
Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks. CoRR (2020)
Ozan Çatal, Sam Leroux, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Anomaly Detection for Autonomous Guided Vehicles using Bayesian Surprise. IROS (2020)
Ozan Çatal, Samuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt
Deep Active Inference for Autonomous Robot Navigation. CoRR (2020)
Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
Learning Perception and Planning with Deep Active Inference. CoRR (2020)
Toon Van de Maele, Tim Verbelen, Ozan Çatal, Cedric De Boom, Bart Dhoedt
You Only Look as Much as You Have To - Using the Free Energy Principle for Active Vision. IWAI (2020)
Ozan Çatal, Tim Verbelen, Johannes Nauta, Cedric De Boom, Bart Dhoedt
Learning Perception and Planning With Deep Active Inference. ICASSP (2020)
Samuel T. Wauthier, Ozan Çatal, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Sleep: Model Reduction in Deep Active Inference. IWAI (2020)
Ozan Çatal, Samuel Wauthier, Cedric De Boom, Tim Verbelen, Bart Dhoedt
Learning Generative State Space Models for Active Inference. Frontiers Comput. Neurosci. 14 (2020)
Cedric De Boom, Samuel Wauthier, Tim Verbelen, Bart Dhoedt
Regularization. CoRR (2020)
Cedric De Boom, Thomas Demeester, Bart Dhoedt
Character-level recurrent neural networks in practice: comparing training and sampling schemes. Neural Comput. Appl. 31 (8) (2019)
Cedric De Boom, Stephanie Van Laere, Tim Verbelen, Bart Dhoedt
Rhythm, Chord and Melody Generation for Lead Sheets Using Recurrent Neural Networks. PKDD/ECML Workshops (2) (2019)
Pieter Van Molle, Tim Verbelen, Cedric De Boom, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx, Tom Kimpe, Pieter Simoens, Bart Dhoedt
Quantifying Uncertainty of Deep Neural Networks in Skin Lesion Classification. UNSURE/CLIP@MICCAI (2019)
Jeroen van der Hooft, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck
Performance Characterization of Low-Latency Adaptive Streaming From Video Portals. IEEE Access 6 (2018)
Jeroen van der Hooft, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck
An HTTP/2 push-based framework for low-latency adaptive streaming through user profiling. NOMS (2018)
Jeroen van der Hooft, Dries Pauwels, Cedric De Boom, Stefano Petrangeli, Tim Wauters, Filip De Turck
Low-latency delivery of news-based video content. MMSys (2018)
Pieter Van Molle, Tim Verbelen, Elias De Coninck, Cedric De Boom, Pieter Simoens, Bart Dhoedt
Learning to Grasp from a Single Demonstration. CoRR (2018)
Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales. Multim. Tools Appl. 77 (12) (2018)
Cedric De Boom, Thomas Demeester, Bart Dhoedt
Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes. CoRR (2018)
Cedric De Boom, Rohan Agrawal, Samantha Hansen, Esh Kumar, Romain Yon, Ching-Wei Chen, Thomas Demeester, Bart Dhoedt
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales. CoRR (2017)
Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
Representation learning for very short texts using weighted word embedding aggregation. CoRR (2016)
Sam Leroux, Steven Bohez, Cedric De Boom, Elias De Coninck, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt
Lazy Evaluation of Convolutional Filters. CoRR (2016)
Cedric De Boom, Steven Van Canneyt, Thomas Demeester, Bart Dhoedt
Representation learning for very short texts using weighted word embedding aggregation. Pattern Recognit. Lett. 80 (2016)
Rein Houthooft, Cedric De Boom, Stijn Verstichel, Femke Ongenae, Filip De Turck
Structured Output Prediction for Semantic Perception in Autonomous Vehicles. AAAI (2016)
Cedric De Boom, Sam Leroux, Steven Bohez, Pieter Simoens, Thomas Demeester, Bart Dhoedt
Efficiency Evaluation of Character-level RNN Training Schedules. CoRR (2016)
Rupert Lemahieu, Steven Van Canneyt, Cedric De Boom, Bart Dhoedt
Optimizing the Popularity of Twitter Messages through User Categories. ICDM Workshops (2015)
Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
Learning Semantic Similarity for Very Short Texts. CoRR (2015)
Cedric De Boom, Steven Van Canneyt, Bart Dhoedt
Semantics-driven Event Clustering in Twitter Feeds. #MSM (2015)
Cedric De Boom, Steven Van Canneyt, Steven Bohez, Thomas Demeester, Bart Dhoedt
Learning Semantic Similarity for Very Short Texts. ICDM Workshops (2015)
Cedric De Boom, Jasper De Bock, Arthur Van Camp, Gert de Cooman
Robustifying the Viterbi Algorithm. Probabilistic Graphical Models (2014)