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Publications

Displaying results 131 to 140 of 667.

  1. Jonas Seng; Pooja Prasad; Devendra Singh Dhami; Kristian Kersting

    HANF: Hyperparameter And Neural Architecture Search in Federated Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.12342, Pages 0-10, arXiv, 2022.

  2. David Steinmann; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Machines Explaining Linear Programs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07194, Pages 0-10, arXiv, 2022.

  3. Xiaoting Shao; Kristian Kersting

    Gradient-based Counterfactual Explanations using Tractable Probabilistic Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2205.07774, Pages 0-10, arXiv, 2022.

  4. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  5. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  6. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  7. Donglin Wang; Anjie Qiu; Qiuheng Zhou; Hans Dieter Schotten

    A Survey on the Role of Artificial Intelligence and Machine Learning in 6G-V2X Applications

    In: Proceedings of the 11th IEEE World Forum on Internet of Things (IoT). IEEE World Forum on Internet of Things (IEEE WFIoT-2025), October 27-30, Chengdu, China, IEEE, 2025.

  8. Lasse Hohmeyer; Mihaela Popescu; Ivan Bergonzani; Dennis Mronga; Frank Kirchner

    InEKFormer: A Hybrid State Estimator for Humanoid Robots

    In: Proceedings of IEEE International Conference on Advanced Robotics (ICAR). International Conference On Advanced Robotics (ICAR-2025), December 2-5, San Juan, Argentina, Pages 833-840, IEEE, 1/2026.

  9. Miro Miranda Lorenz; Marcela Charfuelan Oliva; Matias Valdenegro-Toro; Andreas Dengel

    Informed Learning for Estimating Drought Stress at Fine-Scale Resolution Enables Accurate Yield Prediction

    In: PAIS. European Conference on Artificial Intelligence (ECAI-2025), Bologna, Italy, Pages 5384-5391, IOS Press, 2025.

  10. Max Bramer; Frederic Theodor Stahl (Hrsg.)

    Artificial Intelligence XLII

    SGAI International Conference on Artificial Intelligence (AI-2025), 45th SGAI International Conference on Artificial Intelligence, December 16-18, Cambridge, United Kingdom, Lecture Notes in Computer Science (LNAI), Vol. 16302, Springer Nature Switzerland, Cham, 12/2025.

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