Kevin Mets

60 papers A 1B 6C 2Journal 29Unranked 22
YearRankTypeTitle / Venue / Authors
2025 — conf
Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning.
L4DC
Arne Troch, Kevin Mets, Siegfried Mercelis
2025 J jnl
Advances in Continual Graph Learning for Anti-Money Laundering Systems: A Comprehensive Review.
CoRR
Bruno Deprez, Wei Wei, Wouter Verbeke, Bart Baesens, Kevin Mets, Tim Verdonck
2025 J jnl
Designing a Classifier for Active Fire Detection From Multispectral Satellite Imagery Using Neural Architecture Search.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets
2025 J jnl
GPI-tree search: algorithms for decision-time planning with the general policy improvement theorem.
Neural Comput. Appl.
Louis Bagot, Lynn D'eer, Steven Latré, Tom De Schepper, Kevin Mets
2025 J jnl
Learning to communicate using a communication critic and counterfactual reasoning.
Neural Comput. Appl.
Simon Vanneste, Astrid Vanneste, Kevin Mets, Tom De Schepper, Ali Anwar, Siegfried Mercelis, Peter Hellinckx
2025 J jnl
Scalable reinforcement learning-based neural architecture search.
Neural Comput. Appl.
Amber Cassimon, Siegfried Mercelis, Kevin Mets
2025 J jnl
Successor Clusters: A Behavior Basis for Unsupervised Zero-Shot Reinforcement Learning.
Trans. Mach. Learn. Res.
Louis Bagot, Lucas Nunes Alegre, Steven Latré, Kevin Mets, Bruno Castro da Silva
2025 J jnl
Temporal distillation: compressing a policy in space and time.
Mach. Learn.
Thomas Avé, Matthias Hutsebaut-Buysse, Kevin Mets
2024 — conf
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition.
VISIGRAPP (2): VISAPP
Wei Wei, Tom De Schepper, Kevin Mets
2024 J jnl
Benchmarking Sensitivity of Continual Graph Learning for Skeleton-Based Action Recognition.
CoRR
Wei Wei, Tom De Schepper, Kevin Mets
2024 J jnl
Dataset Condensation with Latent Quantile Matching.
CoRR
Wei Wei, Tom De Schepper, Kevin Mets
2024 — conf
Dataset condensation with latent quantile matching.
CVPR Workshops
Wei Wei, Tom De Schepper, Kevin Mets
2024 J jnl
Designing a Classifier for Active Fire Detection from Multispectral Satellite Imagery Using Neural Architecture Search.
CoRR
Amber Cassimon, Phil Reiter, Siegfried Mercelis, Kevin Mets
2024 B conf
Online Adaptation of Compressed Models by Pre-Training and Task-Relevant Pruning.
ESANN
Thomas Avé, Matthias Hutsebaut-Buysse, Wei Wei, Kevin Mets
2024 — conf
Physical Ergonomics Anticipation with Human Motion Prediction.
VISIGRAPP (4): VISAPP
Mattias Billast, Jonas De Bruyne, Klaas Bombeke, Tom De Schepper, Kevin Mets
2024 J jnl
Policy Compression for Intelligent Continuous Control on Low-Power Edge Devices.
Sensors
Thomas Avé, Tom De Schepper, Kevin Mets
2024 B conf
Policy Compression for Low-Power Intelligent Scaling in Software-Based Network Architectures.
NOMS
Thomas Avé, Paola Soto, Miguel Camelo, Tom De Schepper, Kevin Mets
2024 J jnl
Scalable Reinforcement Learning-based Neural Architecture Search.
CoRR
Amber Cassimon, Siegfried Mercelis, Kevin Mets
2024 J jnl
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning.
CoRR
Amber Cassimon, Siegfried Mercelis, Kevin Mets
2024 — conf
Unsupervised Domain Adaptation for Human Pose Action Recognition.
VISIGRAPP (2): VISAPP
Mattias Billast, Tom De Schepper, Kevin Mets
2023 J jnl
An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.
CoRR
Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023 A conf
Directed Real-World Learned Exploration.
IROS
Matthias Hutsebaut-Buysse, Ferran Gebelli Guinjoan, Erwin Rademakers, Steven Latré, Abdellatif Bey-Temsamani, Kevin Mets, Erik Mannens, Tom De Schepper
2023 — conf
Human Motion Prediction on the IKEA-ASM Dataset.
VISIGRAPP (5: VISAPP)
Mattias Billast, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré
2023 — conf
Multi-Agent Counterfactual Communication Using Difference Rewards Policy Gradients.
BNAIC/BENELEARN
Simon Vanneste, Astrid Vanneste, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx, Kevin Mets
2023 J jnl
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways.
CoRR
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023 J jnl
Scalability of Message Encoding Techniques for Continuous Communication Learned with Multi-Agent Reinforcement Learning.
CoRR
Astrid Vanneste, Thomas Somers, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2023 — conf
Towards graph-based forecasting with attention for real-world restaurant sales.
ICDM (Workshops)
Henrique Duarte Moura, Leonid Kholkine, Lynn D'eer, Kevin Mets, Tom De Schepper
2022 J jnl
An Analysis of Discretization Methods for Communication Learning with Multi-Agent Reinforcement Learning.
CoRR
Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2022 — conf
Deep Set Conditioned Latent Representations for Action Recognition.
VISIGRAPP (5: VISAPP)
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2022 J jnl
Deep set conditioned latent representations for action recognition.
CoRR
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2022 J jnl
Hierarchical Reinforcement Learning: A Survey and Open Research Challenges.
Mach. Learn. Knowl. Extr.
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
2022 C conf
Object Detection To Enable Autonomous Vessels On European Inland Waterways.
IECON
Mattias Billast, Robin Janssens, Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Ali Anwar, Kevin Mets, Tom De Schepper, José Oramas, Steven Latré, Peter Hellinckx
2022 — conf
On-device Deep Learning Location Category Inference Model.
BNAIC/BENELEARN
Gadzhi Musaev, Kevin Mets, Rokas Tamosiunas, Vadim Uvarov, Tom De Schepper, Peter Hellinckx
2022 C conf
Safety Aware Autonomous Path Planning Using Model Predictive Reinforcement Learning for Inland Waterways.
IECON
Astrid Vanneste, Simon Vanneste, Olivier Vasseur, Robin Janssens, Mattias Billast, Ali Anwar, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx
2022 J jnl
Structured Exploration Through Instruction Enhancement for Object Navigation.
CoRR
Matthias Hutsebaut-Buysse, Kevin Mets, Tom De Schepper, Steven Latré
2021 J jnl
ATARI: A Graph Convolutional Neural Network Approach for Performance Prediction in Next-Generation WLANs.
Sensors
Paola Soto, Miguel Camelo, Kevin Mets, Francesc Wilhelmi, David Góez, Luis Alejandro Fletscher, Natalia Gaviria, Peter Hellinckx, Juan Felipe Botero, Steven Latré
2021 — conf
Disagreement Options: Task Adaptation Through Temporally Extended Actions.
ECML/PKDD (1)
Matthias Hutsebaut-Buysse, Tom De Schepper, Kevin Mets, Steven Latré
2021 — conf
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System.
3PGCIC
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021 J jnl
Learning to Communicate with Reinforcement Learning for an Adaptive Traffic Control System.
CoRR
Simon Vanneste, Gauthier de Borrekens, Stig Bosmans, Astrid Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021 — conf
Low Cost Player Tracking in Field Hockey.
MLSA@PKDD/ECML
Henrique Duarte Moura, Leonid Kholkine, Laurens Van Damme, Kevin Mets, Christiaan Leysen, Tom De Schepper, Peter Hellinckx, Steven Latré
2021 J jnl
Mixed Cooperative-Competitive Communication Using Multi-Agent Reinforcement Learning.
CoRR
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021 — conf
Mixed Cooperative-Competitive Communication Using Multi-agent Reinforcement Learning.
3PGCIC
Astrid Vanneste, Wesley Van Wijnsberghe, Simon Vanneste, Kevin Mets, Siegfried Mercelis, Steven Latré, Peter Hellinckx
2021 — conf
Object Detection with Semi-supervised Adversarial Domain Adaptation for Real-Time Edge Devices.
BNAIC/BENELEARN
Mattias Billast, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2021 — conf
Task Independent Capsule-Based Agents for Deep Q-Learning.
BNAIC/BENELEARN
Akash Singh, Tom De Schepper, Kevin Mets, Peter Hellinckx, José Oramas, Steven Latré
2020 J jnl
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory.
CoRR
Jakob Struye, Kevin Mets, Steven Latré
2020 B conf
Language Grounded Task-Adaptation in Reinforcement Learning.
ESANN
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
2020 J jnl
Pre-trained Word Embeddings for Goal-conditional Transfer Learning in Reinforcement Learning.
CoRR
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
2019 J jnl
Fast Task-Adaptation for Tasks Labeled Using Natural Language in Reinforcement Learning.
CoRR
Matthias Hutsebaut-Buysse, Kevin Mets, Steven Latré
2019 — conf
HTMRL: Biologically Plausible Reinforcement Learning with Hierarchical Temporal Memory.
BNAIC/BENELEARN
Jakob Struye, Kevin Mets, Steven Latré
2016 J jnl
Two-Stage Load Pattern Clustering Using Fast Wavelet Transformation.
IEEE Trans. Smart Grid
Kevin Mets, Frederick Depuydt, Chris Develder
2014 J jnl
Combining Power and Communication Network Simulation for Cost-Effective Smart Grid Analysis.
IEEE Commun. Surv. Tutorials
Kevin Mets, Juan Aparicio, Chris Develder
2013 B conf
Design of a management infrastructure for smart grid pilot data processing and analysis.
IM
Matthias Strobbe, Tom Verschueren, Stijn Melis, Dieter Verslype, Kevin Mets, Filip De Turck, Chris Develder
2012 J jnl
Comparison of intelligent charging algorithms for electric vehicles to reduce peak load and demand variability in a distribution grid.
J. Commun. Networks
Kevin Mets, Reinhilde D'hulst, Chris Develder
2012 B conf
Design and evaluation of an architecture for future smart grid service provisioning.
NOMS
Matthias Strobbe, Tom Verschueren, Kevin Mets, Stijn Melis, Chris Develder, Filip De Turck, Thierry Pollet, Stijn Van de Veire
2012 B conf
Distributed multi-agent algorithm for residential energy management in smart grids.
NOMS
Kevin Mets, Matthias Strobbe, Tom Verschueren, Thomas Roelens, Filip De Turck, Chris Develder
2012 — conf
Distributed smart charging of electric vehicles for balancing wind energy.
SmartGridComm
Kevin Mets, Filip De Turck, Chris Develder
2012 — conf
Infrastructure for collaborating data-researchers in a Smart Grid pilot.
ISGT Europe
Wouter Labeeuw, Sven Claessens, Kevin Mets, Chris Develder, Geert Deconinck
2011 — conf
Assessment and mitigation of voltage violations by solar panels in a residential distribution grid.
SmartGridComm
Tom Verschueren, Kevin Mets, Bart Meersman, Matthias Strobbe, Chris Develder, Lieven Vandevelde
2011 — conf
Design and implementation of a simulation environment for network virtualization.
CAMAD
Marc De Leenheer, Jens Buysse, Kevin Mets, Bart Dhoedt, Chris Develder
2011 — conf
Integrated simulation of power and communication networks for smart grid applications.
CAMAD
Kevin Mets, Tom Verschueren, Chris Develder, Tine L. Vandoorn, Lieven Vandevelde