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Jens Decke
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Conference and Workshop Papers
- 2024
- [c4]Jens Decke
, Arne Jenß, Bernhard Sick
, Christian Gruhl
:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. ARCS 2024: 51-66 - [c3]Jens Decke
, Olaf Wünsch
, Bernhard Sick
, Christian Gruhl
:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in Solving Mesh-Based PDEs. ARCS 2024: 82-96 - 2023
- [c2]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Query Strategies for Deep Active Design Optimization. ICMLA 2023: 1611-1618 - 2022
- [c1]Jens Decke
, Jörn Schmeißing, Diego Botache
, Maarten Bieshaar
, Bernhard Sick
, Christian Gruhl
:
NDNET: A Unified Framework for Anomaly and Novelty Detection. ARCS 2022: 197-210
Informal and Other Publications
- 2024
- [i6]Jens Decke, Arne Jenß, Bernhard Sick, Christian Gruhl:
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing. CoRR abs/2406.00080 (2024) - [i5]Jens Decke, Olaf Wünsch, Bernhard Sick, Christian Gruhl:
From Structured to Unstructured: A Comparative Analysis of Computer Vision and Graph Models in solving Mesh-based PDEs. CoRR abs/2406.00081 (2024) - [i4]Lukas Rauch, Denis Huseljic, Moritz Wirth, Jens Decke, Bernhard Sick, Christoph Scholz:
Towards Deep Active Learning in Avian Bioacoustics. CoRR abs/2406.18621 (2024) - 2023
- [i3]Jens Decke, Olaf Wünsch, Bernhard Sick:
Dataset of a parameterized U-bend flow for Deep Learning Applications. CoRR abs/2305.05216 (2023) - [i2]Jens Decke, Christian Gruhl, Lukas Rauch, Bernhard Sick:
DADO - Low-Cost Selection Strategies for Deep Active Design Optimization. CoRR abs/2307.04536 (2023) - [i1]Diego Botache, Jens Decke, Winfried Ripken, Abhinay Dornipati, Franz Götz-Hahn, Mohamed Ayeb
, Bernhard Sick:
Enhancing Multi-Objective Optimization through Machine Learning-Supported Multiphysics Simulation. CoRR abs/2309.13179 (2023)
Coauthor Index
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