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Publications

Displaying results 521 to 530 of 2322.

  1. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Not All Causal Inference is the Same

    In: Transactions on Machine Learning Research (TMLR), Vol. 2023, Pages 1-22, Open Review, 2023.

  2. Siwen Yan; Phillip Odom; Rahul Pasunuri; Kristian Kersting; Sriraam Natarajan

    Learning with privileged and sensitive information: a gradient-boosting approach

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-11, Frontiers, 2023.

  3. Jannis Blüml; Johannes Czech; Kristian Kersting

    AlphaZe(_ast)(_ast): AlphaZero-like baselines for imperfect information games are surprisingly strong

    In: Frontiers in Artificial Intelligence, Vol. 6, Pages 1-18, Frontiers, 2023.

  4. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Thomas Göbel; Harald Baier; Kristian Kersting

    Combining AI and AM - Improving approximate matching through transformer networks

    In: Digital Investigation, Vol. 45, No. Supplement, Pages 1-13, arXiv, 2023.

  5. Nicolas Pfeuffer; Lorenz Baum; Wolfgang Stammer; Benjamin M. Abdel-Karim; Patrick Schramowski; Andreas M. Bucher; Christian Hügel; Gernot Rohde; Kristian Kersting; Oliver Hinz

    Explanatory Interactive Machine Learning

    In: Business & Information Systems Engineering (BISE), Vol. 65, No. 6, Pages 677-701, Springer Nature, 2023.

  6. Lukas Struppek; Dominik Hintersdorf; Felix Friedrich; Manuel Brack; Patrick Schramowski; Kristian Kersting

    Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 78, Pages 1017-1068, AI Access Foundation ; Morgan Kaufman Publishers ; Association for Computing Machinery (ACM), 2023.

  7. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Do Not Marginalize Mechanisms, Rather Consolidate!

    In: Alice Oh; Tristan Naumann; Amir Globerson; Kate Saenko; Moritz Hardt; Sergey Levine (Hrsg.). Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. Neural Information Processing Systems (NeurIPS), Pages 1-19, arXiv, 2023.

  8. Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting

    Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs

    In: 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, September 24-28, 2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC), Pages 1506-1513, IEEE, 2023.

  9. Duy Minh Ho Nguyen; An Thai Le; Trung Nguyen; Nghiem Tuong Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: Vu Nguyen; Hsuan-Tien Lin (Hrsg.). Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Asian Conference on Machine Learning (ACML), Pages 687-702, Proceedings of Machine Learning Research, Vol. 260, PMLR, 2024.

  10. Piotr Kicki; Puze Liu; Davide Tateo; Haitham Bou-Ammar; Krzysztof Walas; Piotr Skrzypczynski; Jan Peters

    Fast Kinodynamic Planning on the Constraint Manifold With Deep Neural Networks

    In: IEEE Transactions on Robotics (T-RO), Vol. 40, Pages 277-297, IEEE, 2024.

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