Jens Decke

14 papers C 1Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes.
IAL@PKDD/ECML
Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl
2024 — conf
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing.
ARCS
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024 J jnl
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing.
CoRR
Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl
2024 — conf
Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation.
ECML/PKDD (10)
Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
2024 — conf
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs.
ARCS
Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 J jnl
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs.
CoRR
Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 — conf
Self-Aware Control for Autonomous Underwater Vehicles.
ACSOS-C
Jens Decke, Florian Gerland, Thomas Schomberg, Olaf Wünsch, Bernhard Sick, Christian Gruhl
2024 — conf
Towards Deep Active Learning in Avian Bioacoustics.
IAL@PKDD/ECML
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2024 J jnl
Towards Deep Active Learning in Avian Bioacoustics.
CoRR
Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz
2023 C conf
DADO - Low-Cost Query Strategies for Deep Active Design Optimization.
ICMLA
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 J jnl
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization.
CoRR
Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick
2023 J jnl
Dataset of a parameterized U-bend flow for Deep Learning Applications.
CoRR
Jens Decke, Olaf Wünsch, Bernhard Sick
2023 J jnl
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation.
CoRR
Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick
2022 — conf
NDNET: A Unified Framework for Anomaly and Novelty Detection.
ARCS
Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl