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Publications

Displaying results 321 to 330 of 14483.

  1. Joshua Meyer; Alexander Rath; Ömercan Yazici; Philipp Slusallek

    MARS: Multi-sample Allocation through Russian roulette and Splitting

    In: SIGGRAPH Asia 2024 Conference Papers. ACM SiggraphAsia (SigAsia-2024), December 3-6, Tokyo, Japan, SA '24 (SA '24), ISBN 9798400711312, Association for Computing Machinery, New York, NY, USA, 12/2024.

  2. Daniel Reti; Norman Becker; Tillmann Angeli; Anasuya Chattopadhyay; Daniel Schneider-Wetzel; Sebastian Vollmer; Hans Dieter Schotten

    Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models

    In: AACD '24: Proceedings of the 11th ACM Workshop on Adaptive and Autonomous Cyber Defense. ACM Workshop on Adaptive and Autonomous Cyber Defense (AACD-24), located at ACM Conference on Computer and Communications Security (CCS '24), October 14, Salt Lake City, USA, ISBN 979-8-4007-1231-9, Association for Computing Machinery, New York, NY, USA, 12/2024.

  3. Nele Brügge; Alexandra Korda; Stefan Borgwardt; Christina Andreou; Giorgos Giannakakis; Heinz Handels

    Bag-Level Multiple Instance Learning for Acute Stress Detection from Video Data

    In: Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies - HEALTHINF. International Conference on Health Informatics (HEALTHINF-2025), February 19-22, Porto, Portugal, ISBN 978-989-758-731-3, SciTePress, 2025.

  4. T. Vincent; F. Wahren; Jan Peters; B. Belousov; C. D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: ICML Workshop on Automated Reinforcement Learning. International Conference on Machine Learning (ICML-2024), ICML, 2024.

  5. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: 17th European Workshop on Reinforcement Learning (EWRL 2024). European Workshop on Reinforcement Learning (EWRL-2024), EWRL, 2024.

  6. Luc De Raedt; Kristian Kersting; Angelika Kimmig; Kate Revoredo; Hannu Toivonen

    Compressing probabilistic Prolog programs

    In: Machine Learning, Vol. 70, No. 2-3, Pages 151-168, Springer, 2008.

  7. Kristian Kersting; Babak Ahmadi; Sriraam Natarajan

    Counting Belief Propagation

    In: Jeff A. Bilmes; Andrew Y. Ng (Hrsg.). UAI 2009, Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2009), June 18-21, Montreal, QC, Canada, Pages 277-284, AUAI Press, 2009.

  8. Kristian Kersting; Zhao Xu

    Learning Preferences with Hidden Common Cause Relations

    In: Wray L. Buntine; Marko Grobelnik; Dunja Mladenic; John Shawe-Taylor (Hrsg.). Machine Learning and Knowledge Discovery in Databases, European Conference. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-2009), September 7-11, Bled, Slovenia, Pages 676-691, Lecture Notes in Computer Science, Vol. 5781, Springer, 2009.

  9. Hannes Schulz; Kristian Kersting; Andreas Karwath

    ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries

    In: Luc De Raedt (Hrsg.). Inductive Logic Programming, 19th International Conference. International Conference on Inductive Logic Programming (ILP-2009), July 2-4, Leuven, Belgium, Pages 209-216, Lecture Notes in Computer Science, Vol. 5989, Springer, 2009.

  10. Saket Joshi; Kristian Kersting; Roni Khardon

    Generalized First Order Decision Diagrams for First Order Markov Decision Processes

    In: Craig Boutilier (Hrsg.). IJCAI 2009, Proceedings of the 21st International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2009), July 11-17, Pasadena, California, USA, Pages 1916-1921, Morgan Kaufmann Publishers Inc. 2009.

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