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Institute of Artificial Intelligence

Organisational unit: Institutes

Type of address: Visitor address.
Appelstraße 9a
30167
Hannover
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1 - 20 out of 170Page size: 20

Publications

  1. 2026
  2. Accepted/In press

    HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization

    Wever, M. D., Muschalik, M., Fumagalli, F. & Lindauer, M., 2026, (Accepted/In press) Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  3. 2025
  4. E-pub ahead of print

    Towards Dynamic Priors in Bayesian Optimization for Hyperparameter Optimization

    Fehring, L., Wever, M., Spliethöver, M., Hennig, L., Wachsmuth, H. & Lindauer, M., 4 Nov 2025, (E-pub ahead of print) Workshop Track of the AutoML Conference .

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

  5. Published

    Information Leakage Detection through Approximate Bayes-optimal Prediction

    Gupta, P., Wever, M. D. & Hüllermeier, E., Nov 2025, In: Information Sciences. 719, 122419.

    Research output: Contribution to journal › Article › Research › peer review

  6. E-pub ahead of print

    Neural Attention Search

    Deng, D. & Lindauer, M., 18 Sept 2025, (E-pub ahead of print) The Thirty-Ninth Annual Conference on Neural Information Processing Systems.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  7. E-pub ahead of print

    Mighty: A Comprehensive Tool for studying Generalization, Meta-RL and AutoRL

    Mohan, A., Eimer, T., Benjamins, C., Lindauer, M. & Biedenkapp, A., Sept 2025, (E-pub ahead of print) 18th European Workshop on Reinforcement Learning (EWRL).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  8. E-pub ahead of print

    Performance Prediction In Reinforcement Learning: The Bad And The Ugly

    Dierkes, J., Eimer, T., Lindauer, M. & Hoos, H., Sept 2025, (E-pub ahead of print) 18th European Workshop on Reinforcement Learning (EWRL).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  9. E-pub ahead of print

    Towards Exploiting Early Termination for Multi-Fidelity Hyperparameter Optimization

    Graf, H., Fehring, L., Tornede, T., Tornede, A., Wever, M. D. & Lindauer, M., Sept 2025, (E-pub ahead of print) Workshop Track of the AutoML Conference .

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

  10. E-pub ahead of print

    Cross-Cultural Comparison of Argument Structures Among English Learners: Argument Proficiency, Patterns, and Communication Styles

    Chen, M. H., Chen, W. F., Mudgal, G. & Wachsmuth, H., 12 Aug 2025, (E-pub ahead of print) In: ARGUMENTATION.

    Research output: Contribution to journal › Article › Research › peer review

  11. Published

    Investigating Co-Constructive Behavior of Large Language Models in Explanation Dialogues

    Fichtel, L., Spliethöver, M., Hüllermeier, E., Jimenez, P., Klowait, N., Kopp, S., Ngonga Ngomo, A., Robrecht, A., Scharlau, I., Terfloth, L., Vollmer, A. & Wachsmuth, H., 1 Aug 2025, Proceedings of the 26th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Béchet, F., Lefèvre, F., Asher, N., Kim, S. & Merlin, T. (eds.). Avignon, France, p. 1-20 20 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  12. Published

    Investigating Subjective Factors of Argument Strength: Storytelling, Emotions, and Hedging

    Quensel, C., Falk, N. & Lapesa, G., Jul 2025, Proceedings of the 12th Argument mining Workshop. Vienna, Austria, p. 126-139

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  13. Published

    Automl for Multi-Class Anomaly Compensation of Sensor Drift

    Schaller, M. C., Kruse, M., Ortega, A., Lindauer, M. & Rosenhahn, B., 15 Jun 2025, In: Measurement: Journal of the International Measurement Confederation. 250, 117097.

    Research output: Contribution to journal › Article › Research › peer review

  14. E-pub ahead of print

    SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration

    Margraf, V., Lappe, A., Wever, M. D., Benjamins, C., Hüllermeier, E. & Lindauer, M., Jun 2025, (E-pub ahead of print) GECCO 2025 - Proceedings of the 2025 Genetic and Evolutionary Computation Conference . Association for Computing Machinery (ACM), (ACM Conferences).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  15. Published

    Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection

    Spliethöver, M., Knebler, T., Fumagalli, F., Muschalik, M., Hammer, B., Hüllermeier, E. & Wachsmuth, H., 29 Apr 2025, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Albuquerque, New Mexico, Vol. 1. 28 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  16. Published

    Search for Continuous Gravitational Waves from Known Pulsars in the First Part of the Fourth LIGO-Virgo-KAGRA Observing Run

    The LIGO Scientific Collaboration, T. L. S. C., the KAGRA Collaboration, T. K. C., The Virgo Collaboration, T. V. C., Bode, N., Brinkmann, M., Carlassara, M., Chakraborty, P., Danzmann, K., Heurs, M., Johny, N., Knust, N., Lehmann, J., Lück, H., Matiushechkina, M., Nery, M., Schulte, B. W., Vahlbruch, H., Wilken, D., Willke, B., Wu, D. S., Bergamin, F., Bisht, A., Booker, P., Borchers, A., Brockmüller, E., Carter, J., Ghosh, S., Hochheim, S., Kastaun, W., Khan, F., Kringel, V., Kruska, K., Kuehn, G., Lough, J., Maciy, R. R., Meylahn, F., Nadji, S. L., Ohme, F., Pascale, G., Schneewind, M., Schutz, B. F., Venneberg, J., von Wrangel, J., Weinert, M., Wellmann, F. & Weßels, P., 20 Apr 2025, In: Astrophysical Journal. 983, 2, 99.

    Research output: Contribution to journal › Article › Research › peer review

  17. Published

    It Is Not Only the Negative that Deserves Attention! Understanding, Generation & Evaluation of (Positive) Moderation

    Jundi, I., Vecchi, E. M., Quensel, C., Falk, N. & Lapesa, G., Apr 2025, Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies. Albuquerque, New Mexico, p. 11360-11395

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  18. Published

    MO-SMAC: Multi-objective Sequential Model-based Algorithm Configuration

    Rook, J., Benjamins, C., Bossek, J., Trautmann, H., Hoos, H. & Lindauer, M., 10 Mar 2025, In: Evolutionary computation. 25, 1, p. 1-25

    Research output: Contribution to journal › Article › Research › peer review

  19. Accepted/In press

    Growing with Experience: Growing Neural Networks in Deep Reinforcement Learning

    Fehring, L., Eimer, T. & Lindauer, M., 15 Feb 2025, (Accepted/In press) 2025 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025).

    Research output: Chapter in book/report/conference proceeding › Conference abstract › Research › peer review

  20. Accepted/In press

    Moments Matter: Stabilizing Policy Optimization using Return Distributions

    Jabs, D., Mohan, A. & Lindauer, M., 15 Feb 2025, (Accepted/In press) 2025 Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2025).

    Research output: Chapter in book/report/conference proceeding › Conference abstract › Research › peer review

  21. Published

    auto-sktime: Automated Time Series Forecasting

    Zöller, M., Lindauer, M. & Huber, M., 3 Jan 2025, Proceedings of the 18TH Learning and Intelligent Optimization Conference (LION). Festa, P., Ferone, D., Pastore, T. & Pisacane, O. (eds.). p. 456–471 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14990 LNCS).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review

  22. E-pub ahead of print

    Automated Data Preparation for Machine Learning

    Mladenovic, S., Lindauer, M. & Doerr, C., 2025, (E-pub ahead of print) 4th International Conference on Automated Machine Learning: Non-Archival Track.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › Research

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