Publications
- 2025
- 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. 350–363Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 2024
- 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 journal › Article › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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/Preprint › Preprint
- 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 proceeding › Conference abstract › Research › peer review
- 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. 225–230Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 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 journal › Article › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 journal › Article › Research › peer review
- 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 proceeding › Contribution to book/anthology › Research › peer review
- 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/Preprint › Preprint
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review
- 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. 283–298Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
- 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 proceeding › Conference contribution › Research › peer review