Cedric De Boom

38 papers A* 1A 2B 2Misc 1Journal 23Unranked 8

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