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Kevin Mets
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2020 – today
- 2024
- [j6]Thomas Avé
, Tom De Schepper
Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. Sensors 24(15): 4876 (2024) - [c29]Wei Wei, Tom De Schepper, Kevin Mets:
Dataset condensation with latent quantile matching. CVPR Workshops 2024: 7703-7712 - [c28]Thomas Avé
Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. NOMS 2024: 1-7 - [c27]Mattias Billast, Jonas De Bruyne
Physical Ergonomics Anticipation with Human Motion Prediction. VISIGRAPP (4): VISAPP 2024: 539-548 - [c26]Wei Wei
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. VISIGRAPP (2): VISAPP 2024: 639-651 - [c25]Mattias Billast, Tom De Schepper, Kevin Mets:
Unsupervised Domain Adaptation for Human Pose Action Recognition. VISIGRAPP (2): VISAPP 2024: 837-844 - [i15]Wei Wei, Tom De Schepper, Kevin Mets:
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. CoRR abs/2401.18054 (2024) - [i14]Wei Wei, Tom De Schepper, Kevin Mets:
Dataset Condensation with Latent Quantile Matching. CoRR abs/2406.09860 (2024) - [i13]Amber Cassimon, Siegfried Mercelis, Kevin Mets:
Scalable Reinforcement Learning-based Neural Architecture Search. CoRR abs/2410.01431 (2024) - [i12]Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets:
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search. CoRR abs/2410.05425 (2024) - 2023
- [c24]Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets:
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients. BNAIC/BENELEARN 2023: 82-100 - [c23]Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper:
Towards graph-based forecasting with attention for real-world restaurant sales. ICDM (Workshops) 2023: 560-569 - [c22]Matthias Hutsebaut-Buysse, Ferran Gebelli Guinjoan, Erwin Rademakers, Steven Latré, Abdellatif Bey-Temsamani, Kevin Mets, Erik Mannens
Directed Real-World Learned Exploration. IROS 2023: 5227-5234 - [c21]Mattias Billast, Kevin Mets, Tom De Schepper
Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) 2023: 906-914 - [i11]Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning. CoRR abs/2308.04844 (2023) - [i10]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning. CoRR abs/2308.04938 (2023) - [i9]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR abs/2311.09878 (2023) - 2022
- [j5]Matthias Hutsebaut-Buysse
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. Mach. Learn. Knowl. Extr. 4(1): 172-221 (2022) - [c20]Gadzhi Musaev
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN 2022: 96-111 - [c19]Mattias Billast, Robin Janssens
Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON 2022: 1-6 - [c18]Astrid Vanneste
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON 2022: 1-6 - [c17]Akash Singh
Deep Set Conditioned Latent Representations for Action Recognition. VISIGRAPP (5: VISAPP) 2022: 456-466 - [i8]Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning. CoRR abs/2204.05669 (2022) - [i7]Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré:
Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR abs/2211.08467 (2022) - [i6]Akash Singh
Deep set conditioned latent representations for action recognition. CoRR abs/2212.11030 (2022) - 2021
- [j4]Paola Soto
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21(13): 4321 (2021) - [c16]Astrid Vanneste
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC 2021: 197-206 - [c15]Simon Vanneste
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC 2021: 207-216 - [c14]Akash Singh
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN 2021: 69-85 - [c13]Mattias Billast, Tom De Schepper
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN 2021: 86-102 - [c12]Henrique Duarte Moura
Low Cost Player Tracking in Field Hockey. MLSA@PKDD/ECML 2021: 103-115 - [c11]Matthias Hutsebaut-Buysse, Tom De Schepper
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) 2021: 190-205 - [i5]Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning. CoRR abs/2110.15762 (2021) - [i4]Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. CoRR abs/2110.15779 (2021) - 2020
- [c10]Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Language Grounded Task-Adaptation in Reinforcement Learning. ESANN 2020: 315-320 - [i3]Matthias Hutsebaut-Buysse, Kevin Mets
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. CoRR abs/2007.05196 (2020) - [i2]Jakob Struye, Kevin Mets
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. CoRR abs/2009.08880 (2020)
2010 – 2019
- 2019
- [c9]Jakob Struye, Kevin Mets, Steven Latré:
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. BNAIC/BENELEARN 2019 - [i1]Matthias Hutsebaut-Buysse, Kevin Mets
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. CoRR abs/1910.04040 (2019) - 2016
- [j3]Kevin Mets, Frederick Depuydt, Chris Develder
Two-Stage Load Pattern Clustering Using Fast Wavelet Transformation. IEEE Trans. Smart Grid 7(5): 2250-2259 (2016) - 2014
- [j2]Kevin Mets, Juan Aparicio, Chris Develder
Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis. IEEE Commun. Surv. Tutorials 16(3): 1771-1796 (2014) - 2013
- [c8]Matthias Strobbe, Tom Verschueren, Stijn Melis, Dieter Verslype, Kevin Mets, Filip De Turck, Chris Develder:
Design of a management infrastructure for smart grid pilot data processing and analysis. IM 2013: 547-553 - 2012
- [j1]Kevin Mets, Reinhilde D'hulst, Chris Develder
Comparison of intelligent charging algorithms for electric vehicles to reduce peak load and demand variability in a distribution grid. J. Commun. Networks 14(6): 672-681 (2012) - [c7]Wouter Labeeuw, Sven Claessens, Kevin Mets, Chris Develder
Infrastructure for collaborating data-researchers in a Smart Grid pilot. ISGT Europe 2012: 1-8 - [c6]Kevin Mets, Matthias Strobbe, Tom Verschueren, Thomas Roelens, Filip De Turck, Chris Develder
Distributed multi-agent algorithm for residential energy management in smart grids. NOMS 2012: 435-443 - [c5]Matthias Strobbe, Tom Verschueren, Kevin Mets, Stijn Melis, Chris Develder
Design and evaluation of an architecture for future smart grid service provisioning. NOMS 2012: 1203-1206 - [c4]Kevin Mets, Filip De Turck, Chris Develder
Distributed smart charging of electric vehicles for balancing wind energy. SmartGridComm 2012: 133-138 - 2011
- [c3]Kevin Mets, Tom Verschueren, Chris Develder
Integrated simulation of power and communication networks for smart grid applications. CAMAD 2011: 61-65 - [c2]Marc De Leenheer, Jens Buysse, Kevin Mets, Bart Dhoedt, Chris Develder
Design and implementation of a simulation environment for network virtualization. CAMAD 2011: 87-91 - [c1]Tom Verschueren, Kevin Mets, Bart Meersman, Matthias Strobbe
Assessment and mitigation of voltage violations by solar panels in a residential distribution grid. SmartGridComm 2011: 540-545
Coauthor Index
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last updated on 2024-12-08 01:31 CET by the dblp team
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