Kevin Mets

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Reinforcement Learning

Wavelet Transformation

Biologically Plausible

Top Venues

BNAIC/BENELEARN

VISIGRAPP (5: VISAPP)

Publications

Wei Wei, Tom De Schepper, Kevin Mets
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. VISIGRAPP (2): VISAPP (2024)
Mattias Billast, Tom De Schepper, Kevin Mets
Unsupervised Domain Adaptation for Human Pose Action Recognition. VISIGRAPP (2): VISAPP (2024)
Thomas Avé, Tom De Schepper, Kevin Mets
Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices. Sensors 24 (15) (2024)
Wei Wei, Tom De Schepper, Kevin Mets
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition. CoRR (2024)
Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets
Physical Ergonomics Anticipation with Human Motion Prediction. VISIGRAPP (4): VISAPP (2024)
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)
Wei Wei, Tom De Schepper, Kevin Mets
Dataset Condensation with Latent Quantile Matching. CoRR (2024)
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)
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 (2023)
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 (2023)
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 (2023)
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)
Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré
Human Motion Prediction on the IKEA-ASM Dataset. VISIGRAPP (5: VISAPP) (2023)
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)
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 (2022)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges. Mach. Learn. Knowl. Extr. 4 (1) (2022)
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)
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré
Structured Exploration Through Instruction Enhancement for Object Navigation. CoRR (2022)
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)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
Deep set conditioned latent representations for action recognition. CoRR (2022)
Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx
On-device Deep Learning Location Category Inference Model. BNAIC/BENELEARN (2022)
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)
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) (2021)
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)
Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré
Disagreement Options: Task Adaptation Through Temporally Extended Actions. ECML/PKDD (1) (2021)
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)
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)
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)
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 (2021)
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 (2021)
Jakob Struye, Kevin Mets, Steven Latré
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. CoRR (2020)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning. CoRR (2020)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Language Grounded Task-Adaptation in Reinforcement Learning. ESANN (2020)
Jakob Struye, Kevin Mets, Steven Latré
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory. BNAIC/BENELEARN (2019)
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning. CoRR (2019)
Kevin Mets, Frederick Depuydt, Chris Develder
Two-Stage Load Pattern Clustering Using Fast Wavelet Transformation. IEEE Trans. Smart Grid 7 (5) (2016)
Kevin Mets, Juan Aparicio, Chris Develder
Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis. IEEE Commun. Surv. Tutorials 16 (3) (2014)
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)
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)
Wouter Labeeuw, Sven Claessens, Kevin Mets, Chris Develder, Geert Deconinck
Infrastructure for collaborating data-researchers in a Smart Grid pilot. ISGT Europe (2012)
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)
Kevin Mets, Filip De Turck, Chris Develder
Distributed smart charging of electric vehicles for balancing wind energy. SmartGridComm (2012)
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) (2012)
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)
Marc De Leenheer, Jens Buysse, Kevin Mets, Bart Dhoedt, Chris Develder
Design and implementation of a simulation environment for network virtualization. CAMAD (2011)
Kevin Mets, Tom Verschueren, Chris Develder, Tine L. Vandoorn, Lieven Vandevelde
Integrated simulation of power and communication networks for smart grid applications. CAMAD (2011)