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2020 – today
- 2024
[j6]Thomas Avé
, Tom De Schepper, Kevin Mets:
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, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets:
Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures. NOMS 2024: 1-7 - [c27]Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets:
Physical Ergonomics Anticipation with Human Motion Prediction. VISIGRAPP (4): VISAPP 2024: 539-548 - [c26]Wei Wei, Tom De Schepper, Kevin Mets:
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, Tom De Schepper:
Directed Real-World Learned Exploration. IROS 2023: 5227-5234 - [c21]Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré:
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, Peter Hellinckx:
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, Peter Hellinckx:
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, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. CoRR abs/2311.09878 (2023) - 2022
- [j5]Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré:
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. Mach. Learn. Knowl. Extr. 4(1): 172-221 (2022) - [c20]Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx:
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN 2022: 96-111 - [c19]Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx:
Object Detection To Enable Autonomous Vessels On European Inland Waterways. IECON 2022: 1-6 - [c18]Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx:
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways. IECON 2022: 1-6 - [c17]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
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, Steven Latré, Peter Hellinckx:
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, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Deep set conditioned latent representations for action recognition. CoRR abs/2212.11030 (2022) - 2021
- [j4]Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré:
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs. Sensors 21(13): 4321 (2021) - [c16]Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning. 3PGCIC 2021: 197-206 - [c15]Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System. 3PGCIC 2021: 207-216 - [c14]Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Task Independent Capsule-Based Agents for Deep Q-Learning. BNAIC/BENELEARN 2021: 69-85 - [c13]Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré:
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices. BNAIC/BENELEARN 2021: 86-102 - [c12]Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré:
Low Cost Player Tracking in Field Hockey. MLSA@PKDD/ECML 2021: 103-115 - [c11]Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré:
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) 2021: 190-205 - [i5]Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
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, Siegfried Mercelis, Steven Latré, Peter Hellinckx:
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, Steven Latré:
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. CoRR abs/2007.05196 (2020) - [i2]Jakob Struye, Kevin Mets, Steven Latré:
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, Steven Latré:
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, Geert Deconinck:
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, Filip De Turck, Thierry Pollet, Stijn Van de Veire:
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, Tine L. Vandoorn, Lieven Vandevelde:
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, Chris Develder, Lieven Vandevelde:
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 02:25 CET by the dblp team
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