Publikationen

Pascal Klink; Carlo D'Eramo; Jan Peters; Joni Pajarinen

On the Benefit of Optimal Transport for Curriculum Reinforcement Learning

In: IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 46, No. 11, Pages 7191-7204, IEEE Computer Society, 2024.

Yang Weng; Sehwa Chun; Masaki Ohashi; Takumi Matsuda; Yuki Sekimori; Joni Pajarinen; Jan Peters; Toshihiro Maki

Autonomous underwater vehicle link alignment control in unknown environments using reinforcement learning

In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, Wiley Online Library, 2024.

Pratyush Agnihotri; Paul Stiegele; Roman Heinrich; Boris Koldehofe; Carsten Binnig; Manisha Luthra

ZeroTune: Learned Zero-Shot Parallelism Tuning for Distributed Stream Processing

In: 40th IEEE International Conference on Data Engineering (ICDE 2024). IEEE International Conference on Data Engineering (ICDE-2024), Pages 1-14, IEEE, 2024.

Wang Yue; Rafael Moczalla; Manisha Luthra; Tilmann Rabl

Deco: Fast and Accurate Decentralized Aggregation of Count-Based Windows in Large-Scale IoT Applications

In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ). International Conference on Extending Database Technology (EDBT-2024), 27th International Conference on Extending Database Technology, March 25-28, Italy, ISBN 978-3-89318-091-2, OpenProceeedings.org, 2024.

Max Beinke; Jan Heinrich Beinke; Eduard Anton; Frank Teuteberg

Breaking the chains of traditional finance: A taxonomy of decentralized finance business models

In: Electronic Markets, Vol. 34, No. 1, Pages 1-29, Springer Berlin Heidelberg, 12/2024.

Roman Heinrich; Carsten Binnig; Harald Kornmayer; Manisha Luthra

Costream: Learned Cost Model for Operator Placement in Edge-Cloud Environments

In: 40th IEEE International Conference on Data Engineering (ICDE 2024) (recently accepted). IEEE International Conference on Data Engineering (ICDE-2024), May 13-17, Netherlands, Pages 1-14, IEEE, 2024.

Qianli Wang; Tatiana Anikina; Nils Feldhus; Josef van Genabith; Leonhard Hennig; Sebastian Möller

LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations

In: Su Lin Blodgett; Amanda Cercas Curry; Sunipa Dev; Michael Madaio; Ani Nenkova; Diyi Yang; Ziang Xiao (Hrsg.). Third Workshop on Bridging Human-Computer Interaction and Natural Language Processing - Proceedings of the Workshop. Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP-2024), located at NAACL 2024, June 21, Mexico City, Mexico, ISBN 979-8-89176-111-7, Association for Computational Linguistics. 2024.

Siting Liang; Hans-Jürgen Profitlich; Maximilian Klass; Niko Möller-Grell; Celine-Fabienne Bergmann; Simon Heim; Christian Niklas; Daniel Sonntag

Building A German Clinical Named Entity Recognition System without In-domain Training Data

In: Association for Computational Linguistics. Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-2024), June 17-21, Mexico City, Mexico, ACL Anthology, 2024.

Vera Schmitt; Luis-Felipe Villa-Arenas; Nils Feldhus; Joachim Meyer; Robert P. Spang; Sebastian Moeller

The Role of Explainability in Collaborative Human-AI Disinformation Detection

In: FAccT '24: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. ACM Conference on Fairness, Accountability, and Transparency (ACM FAccT-2024), ISBN 9798400704505, Association for Computing Machinery, New York, NY, USA, 2024.

Vera Schmitt; Balazs Csomor; Joachim Meyer; Luis-Felipe Villa-Arenas; Charlott Jakob; Tim Polzehl; Sebastian Möller

Evaluating Human-Centered AI Explanations: Introduction of an XAI Evaluation Framework for Fact-Checking

In: Proceedings of the 3rd ACM International Workshop on Multimedia AI against Disinformation. ACM International Workshop on Multimedia AI against Disinformation (MAD-24), ISBN 979-8-4007-05526, Association for Computing Machinery, New York, NY, USA, 2024.