Publications

Nael Jaber; Bilal Wehbe; Leif Christensen; Frank Kirchner

MV3D: Multi-View 3D Reconstruction of Objects Using Forward-Looking Sonar

In: Tamim Asfour; Abhinav Valada (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 10, Pages 8762-8769, IEEE, 2025.

Abdullah Farrukh; Tatjana Legler; Achim Wagner; Martin Ruskowski

Comparative Analysis of Synthetic Data Generation for Object Detection: CAD Models vs. 3D Scans of Industrial Items and Hybrid Approaches

In: 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE International Conference on Industrial Cyber-Physical Systems (ICPS-2025), Pages 1-6, IEEE, 7/2025.

Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborio; Prerna Garg; Hooman Tavakoli Ghinani; Christiane Plociennik; Nicolas Grossmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel

Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.

Andrey Guzhov; Tobias Wirth

Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics

In: Academic Conferences International (ACI) (Hrsg.). Proceedings of the 24th European Conference on Cyber Warfare and Security. European Conference on Cyber Warfare and Security (ECCWS-2025), 24th European Conference on Cyber Warfare and Security, located at ECCWS-2025, June 26-27, Kaiserslautern, Germany, Pages 169-176, Vol. 24, No. 1, ACI, 2025.

Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

CryptoSPN: Expanding PPML beyond Neural Networks

In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

Making deep neural networks right for the right scientific reasons by interacting with their explanations

In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

Johannes Czech; Moritz Willig; Alena Beyer; Kristian Kersting; Johannes Fürnkranz

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

In: Frontiers in Artificial Intelligence, Vol. 3, Pages 1-10, Frontiers, 2020.

Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

Neuro-Symbolic Forward Reasoning

In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2110.09383, Pages 0-10, arXiv, 2021.

Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

Whittle Networks: A Deep Likelihood Model for Time Series

In: Marina Meila; Tong Zhang (Hrsg.). Proceedings of the 38th International Conference on Machine Learning. International Conference on Machine Learning (ICML-2021), July 18-24, Pages 12177-12186, Proceedings of Machine Learning Research, Vol. 139, PMLR, 2021.

Wolfgang Stammer; Patrick Schramowski; Kristian Kersting

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

In: IEEE Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2021), June 19-25, Pages 3619-3629, Computer Vision Foundation / IEEE, 2021.