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Institute of Artificial Intelligence

Organisational unit: Institute

Type of address: Visitor address.
Appelstraße 9a
30167
Hannover
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Publications

  1. 2025
  2. Published

    How Green is AutoML for Tabular Data?

    Neutatz, F., Lindauer, M. & Abedjan, Z., 2025, Proceedings 28th International Conference on Extending Database Technology ( EDBT 2025 ). p. 350–363

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  3. 2024
  4. Published

    When to use a metaphor: Metaphors in dialogical explanations with addressees of different expertise

    Scharlau, I., Körber, M., Sengupta, M. & Wachsmuth, H., 18 Dec 2024, In: Frontiers in Language Sciences. 3, 1474924.

    Research output: Contribution to journalArticleResearchpeer review

  5. E-pub ahead of print

    Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean

    Benjamins, C., Surana, S., Bent, O., Lindauer, M. & Duckworth, P., Dec 2024, (E-pub ahead of print) NeurIPS Workshop on Time Series in the Age of Large Models.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  6. E-pub ahead of print

    Bayesian Optimization for Protein Sequence Design: Back to Simplicity with Gaussian Processes

    Benjamins, C., Surana, S., Bent, O., Lindauer, M. & Duckworth, P., Dec 2024, (E-pub ahead of print) AI for Accelerated Materials Design - NeurIPS Workshop 2024.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  7. Published

    Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models

    El Baff, R., Khatib, K. A., Alshomary, M., Konen, K., Stein, B. & Wachsmuth, H., 1 Nov 2024, Findings of the Association for Computational Linguistics: EMNLP 2024. Al-Onaizan, Y., Bansal, M. & Chen, Y.-N. (eds.). Miami, Florida, USA, p. 4604-4622 19 p.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  8. E-pub ahead of print

    Automl for Multi-Class Anomaly Compensation of Sensor Drift

    Schaller, M. C., Kruse, M., Ortega, A., Lindauer, M. & Rosenhahn, B., Nov 2024, (E-pub ahead of print).

    Research output: Working paper/PreprintPreprint

  9. Accepted/In press

    Towards Enhancing Predictive Representations using Relational Structure in Reinforcement Learning

    Mohan, A. & Lindauer, M., 30 Sept 2024, (Accepted/In press) The 17th European Workshop on Reinforcement Learning (EWRL 2024).

    Research output: Chapter in book/report/conference proceedingConference abstractResearchpeer review

  10. Published

    Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues

    Feldhus, N., Anagnostopoulou, A., Wang, Q., Alshomary, M., Wachsmuth, H., Sonntag, D. & Möller, S., 4 Sept 2024, Proceedings of the 2024 International Conference on Information Technology for Social Good. New York, NY, USA, p. 225–230

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  11. Published

    AMLTK: A Modular AutoML Toolkit in Python

    Bergman, E., Feurer, M., Bahram, A., Rezaei, A., Purucker, L., Segel, S., Lindauer, M. & Eggensperger, K., 14 Aug 2024, In: The Journal of Open Source Software. 9, 100, 4 p., 6367.

    Research output: Contribution to journalArticleResearchpeer review

  12. Published

    Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness

    Spliethöver, M., Menon, S. N. & Wachsmuth, H., Aug 2024, Findings of the Association for Computational Linguistics ACL 2024. Ku, L.-W., Martins, A. & Srikumar, V. (eds.). p. 9294-9313 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  13. Published

    LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback

    Ziegenbein, T., Skitalinska, G., Bayat Makou, A. & Wachsmuth, H., Aug 2024, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  14. Accepted/In press

    Hyperparameter Importance Analysis for Multi-Objective AutoML

    Theodorakopoulos, D., Stahl, F. & Lindauer, M., 4 Jul 2024, (Accepted/In press) Proceedings of the european conference on AI (ECAI).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  15. Published

    AutoML in Heavily Constrained Applications

    Neutatz, F., Lindauer, M. & Abedjan, Z., Jul 2024, In: VLDB Journal. 33, 4, p. 957–979 23 p.

    Research output: Contribution to journalArticleResearchpeer review

  16. E-pub ahead of print

    Position: Why We Must Rethink Empirical Research in Machine Learning

    Herrmann, M., Lange, F. J. D., Eggensperger, K., Casalicchio, G., Wever, M., Feurer, M., Rügamer, D., Hüllermeier, E., Boulesteix, A. & Bischl, B., Jul 2024, (E-pub ahead of print) Proceedings of the international conference on machine learning.

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

  17. E-pub ahead of print

    ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data

    Margraf, V., Wever, M., Gilhuber, S., Tavares, G. M., Seidl, T. & Hüllermeier, E., 15 Jun 2024, (E-pub ahead of print).

    Research output: Working paper/PreprintPreprint

  18. E-pub ahead of print

    Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach

    Deng, D. & Lindauer, M., 10 Jun 2024, (E-pub ahead of print) NeurIPS Workshop on Time Series in the Age of Large Models. (ArXiv).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  19. Published

    Analyzing the Use of Metaphors in News Editorials for Political Framing

    Sengupta, M., El Baff, R., Alshomary, M. & Wachsmuth, H., Jun 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Duh, K., Gomez, H. & Bethard, S. (eds.). Mexico City, Mexico, p. 3621–3631 11 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  20. Published

    A School Student Essay Corpus for Analyzing Interactions of Argumentative Structure and Quality

    Stahl, M., Michel, N., Kilsbach, S., Schmidtke, J., Rezat, S. & Wachsmuth, H., Jun 2024, Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Duh, K., Gomez, H. & Bethard, S. (eds.). p. 2661–2674 14 p. (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024; vol. 1).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  21. Published

    Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation

    Stahl, M., Biermann, L., Nehring, A. & Wachsmuth, H., Jun 2024, Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024). p. 283–298

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

  22. Published

    Objective Argument Summarization in Search

    Ziegenbein, T., Syed, S., Potthast, M. & Wachsmuth, H., Jun 2024, Conference on Advances in Robust Argumentation Machines.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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