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Publications

Displaying results 11 to 20 of 13568.

  1. Qingqin Hua; Pascal Grittmann; Philipp Slusallek

    Revisiting Controlled Mixture Sampling for Rendering Applications

    In: ACM Transactions on Graphics (TOG), Vol. 42, Page 13, Online, 2023.

  2. Sergio Genovesi; Martin Haimerl; Iris Merget; Samantha Morgaine Prange; Otto Obert; Susanna Wolf; Jens Ziehn

    Evaluating Dimensions of AI Transparency: A Comparative Study of Standards, Guidelines and the EU AI Act

    In: Rebekka Görge; Elena Haedecke; Maximilian Poretschkin; Anna Schmitz (Hrsg.). Symposium on Scaling AI Assessments (SAIA 2024). Symposium on Scaling AI Assessments (SAIA-2024), September 30 - October 1, Cologne, Germany, Pages 10:1-10:17, Open Access Series in Informatics (OASICS), Vol. 126, ISBN ISSN 2190-6807, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 1/2025.

  3. Franek Stark; Jakob Middelberg; Dennis Mronga; Shubham Vyas; Frank Kirchner

    Benchmarking Different QP Formulations and Solvers for Dynamic Quadrupedal Walking

    In: 2025 IEEE International Conference on Robotics and Automation (ICRA). IEEE International Conference on Robotics and Automation (ICRA-2025), IEEE, 2025.

  4. Pascal Grittmann; Ömercan Yazici; Iliyan Georgiev; Philipp Slusallek

    Efficiency-aware multiple importance sampling for bidirectional rendering algorithms

    In: ACM Transactions on Graphics (Proceedings of SIGGRAPH 2022). ACM Siggraph (Siggraph-2022), August 8-11, Vancouver, Canada, Online, 7/2022.

  5. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  6. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  7. Patrick Klein; Lukas Malburg; Ralph Bergmann

    Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  8. Sallar Ahmadi-Pour; Sangeet Saha; Klaus McDonald-Maier; Rolf Drechsler

    MESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time SystemsMESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time Systems

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  9. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  10. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

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