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Publications

Displaying results 681 to 690 of 14804.

  1. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Systems AI: A Declarative Learning Based Programming Perspective

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5464-5471, ijcai.org, 2018.

  2. Stefan Lüdtke; Max Schröder; Sebastian Bader; Kristian Kersting; Thomas Kirste

    Lifted Filtering via Exchangeable Decomposition

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5067-5073, ijcai.org, 2018.

  3. Samuel Kolb; Martin Mladenov; Scott Sanner; Vaishak Belle; Kristian Kersting

    Efficient Symbolic Integration for Probabilistic Inference

    In: Jérôme Lang (Hrsg.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence. International Joint Conference on Artificial Intelligence (IJCAI-2018), July 13-19, Stockholm, Sweden, Pages 5031-5037, ijcai.org, 2018.

  4. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Tearing Apart NOTEARS: Controlling the Graph Prediction via Variance Manipulation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2206.07195, Pages 0-10, arXiv, 2022.

  5. 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.

  6. 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.

  7. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    The Speed-up Factor: A Quantitative Multi-Iteration Active Learning Performance Metric

    In: Transactions on Machine Learning Research (TMLR), Pages 1-22, 2/2026.

  8. Supreeth Mysore Venkatesh; Antonio Macaluso; Diego Arenas; Matthias Klusch; Andreas Dengel

    Iterative Quantum-Assisted Least Squares Optimization with Convergence Guarantees

    In: Journal of Computational Science (JOCS), Vol. xx, Pages 1-33, Elsevier, 2026.

  9. Till Ruppert; Florian Langenstein; Dennis Salzmann; Florian Herrmann; Christoph Fischer; Michael Gundall; Hans D. Schotten

    TraPos: A Transformer-Based Localization Framework for Next-Generation Mobile Networks

    In: Till Ruppert; Florian Langenstein; Dennis Salzmann; Florian Herrmann; Christoph Fischer; Michael Gundall; Hans Dieter Schotten (Hrsg.). Proceedings of the IEEE International Conference on Communications (ICC). IEEE International Conference on Communications (ICC-2026), IEEE, 2026.

  10. Shishir Muralidhara; Didier Stricker; René Schuster

    SAILS: Segment Anything with Incrementally Learned Semantics for Task-Invariant and Training-Free Continual Learning

    In: IEEE Conference on Artificial Intelligence. IEEE Conference on Artificial Intelligence (CAI-2026), May 8-10, Granada, Spain, IEEE, 2026.

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