Jens Decke

According to our database, Jens Decke authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Multi-objective Optimisation Through Machine Learning-Supported Multiphysics Simulation.

Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Towards Deep Active Learning in Avian Bioacoustics.

Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

Active Learning with Physics-Informed Graph Neural Networks on Unstructured Meshes.

Jens Decke, Alexander Heinen, Bernhard Sick, Christian Gruhl

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs.

Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl

Proceedings of the Architecture of Computing Systems - 37th International Conference, 2024

An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing.

Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl

Proceedings of the Architecture of Computing Systems - 37th International Conference, 2024

2023

Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation.

Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb, Bernhard Sick

CoRR, 2023

DADO - Low-Cost Selection Strategies for Deep Active Design Optimization.

Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick

CoRR, 2023

Dataset of a parameterized U-bend flow for Deep Learning Applications.

Jens Decke, Olaf Wünsch, Bernhard Sick

CoRR, 2023

DADO - Low-Cost Query Strategies for Deep Active Design Optimization.

Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

NDNET: A Unified Framework for Anomaly and Novelty Detection.

Jens Decke, Jörn Schmeißing, Diego Botache, Maarten Bieshaar, Bernhard Sick, Christian Gruhl

Proceedings of the Architecture of Computing Systems - 35th International Conference, 2022