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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. 2022
  2. Published

    Towards Understanding and Answering Comparative Questions

    Bondarenko, A., Ajjour, Y., Dittmar, V., Homann, N., Braslavski, P. & Hagen, M., 15 Feb 2022, 15th ACM International Conference on Web Search and Data Mining (WSDM 2022). Candan, K. S., Liu, H., Akoglu, L., Dong, X. L. & Tang, J. (eds.). p. 66-74 9 p.

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

  3. Published

    SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

    Lindauer, M., Eggensperger, K., Feurer, M., Biedenkapp, A., Deng, D., Benjamins, C., Sass, R. & Hutter, F., Feb 2022, In: Journal of Machine Learning Research. 2022, 23, 8 p.

    Research output: Contribution to journalArticleResearchpeer review

  4. Published

    METHOD AND DEVICE FOR LEARNING A STRATEGY AND FOR IMPLEMENTING THE STRATEGY

    Adriaenssen, S., Biedenkapp, A., Hutter, F., Shala, G., Lindauer, M. & Awad, N., 27 Jan 2022, IPC No. G06N 3/ 12 A I, Patent No. US2022027743, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

  5. Published

    Verfahren und Vorrichtung zum Lernen einer Strategie und Betreiben der Strategie

    Adriaenssen, S., Biedenkapp, A., Hutter, F., Shala, G., Lindauer, M. & Awad, N., 27 Jan 2022, IPC No. G06N 3/ 08 A I, Patent No. DE102020209281, Priority date 23 Jul 2020, Priority No. DE202010209281

    Research output: Patent

  6. Published

    METHOD AND DEVICE FOR CREATING A SYSTEM FOR THE AUTOMATED CREATION OF MACHINE LEARNING SYSTEMS

    Lindauer, M., Zela, A., Stoll, D. O., Ferreira, F., Hutter, F. & Nierhoff, T., 13 Jan 2022, IPC No. G06N 20/ 00 A I, Patent No. US2022012636, Priority date 10 Jul 2020, Priority No. DE202010208671

    Research output: Patent

  7. Published

    Verfahren und Vorrichtung zum Erstellen eines Systems zum automatisierten Erstellen von maschinellen Lernsystemen

    Lindauer, M., Zela, A., Stoll, D., Ferreira, F., Hutter, F. & Nierhoff, T., 13 Jan 2022, IPC No. G06V 30/ 19 A I, Patent No. DE102020208671, Priority date 10 Jul 2020, Priority No. DE202010208671

    Research output: Patent

  8. Published

    Argument Novelty and Validity Assessment via Multitask and Transfer Learning

    Alshomary, M. & Stahl, M., 2022, Proceedings of the 9th Workshop on Argument Mining. p. 111-114

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

  9. Published

    Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

    Feurer, M., Eggensperger, K., Falkner, S., Lindauer, M. T. & Hutter, F., 2022, In: Journal of Machine Learning Research. 23, 61 p.

    Research output: Contribution to journalConference articleResearchpeer review

  10. Published

    Back to the Roots: Predicting the Source Domain of Metaphors using Contrastive Learning

    Sengupta, M., Alshomary, M. & Wachsmuth, H., 2022, Proceedings of the 2022 Workshop on Figurative Language Processing. p. 137-142 6 p.

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

  11. Published

    Efficient Automated Deep Learning for Time Series Forecasting

    Deng, D., Karl, F., Hutter, F., Bischl, B. & Lindauer, M., 2022, Proceedings of the European Conference on Machine Learning (ECML).

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

  12. Published

    HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection

    Fehring, L., Hanselle, J. & Tornede, A., 2022, NeurIPS Workshop on Meta Learning (MetaLearn 2022).

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

  13. Published

    PriorBand: HyperBand + Human Expert Knowledge

    Mallik, N., Hvarfner, C., Stoll, D., Janowski, M., Bergman, E., Lindauer, M. T., Nardi, L. & Hutter, F., 2022, 2022 NeurIPS Workshop on Meta Learning (MetaLearn).

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

  14. E-pub ahead of print

    Searching in the Forest for Local Bayesian Optimization

    Deng, D. & Lindauer, M., 2022, (E-pub ahead of print) ECML/PKDD workshop on Meta-learning. 17 p.

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

  15. 2021
  16. Published

    DEVICE AND METHOD FOR PLANNING AN OPERATION OF A TECHNICAL SYSTEM

    Spitz, J., Biedenkapp, A., Speck, D., Hutter, F., Lindauer, M. & Mattmueller, R., 9 Dec 2021, IPC No. G06N 5/ 00 A I, Patent No. US2021383245, Priority date 5 Jun 2020, Priority No. EP20200178576

    Research output: Patent

  17. Published

    Vorrichtung und Verfahren zur Planung eines Betriebs eines technischen Systems

    Spitz, J., Biedenkapp, A., Speck, D., Hutter, F., Lindauer, M. & Mattmueller, R., 9 Dec 2021, IPC No. G06Q 50/ 04 A I, Patent No. DE102020207114, Priority date 5 Jun 2020, Priority No. DE202010207114

    Research output: Patent

  18. E-pub ahead of print

    Explaining Hyperparameter Optimization via Partial Dependence Plots

    Moosbauer, J., Herbinger, J., Casalicchio, G., Lindauer, M. & Bischl, B., 8 Nov 2021, (E-pub ahead of print) Proceedings of the international conference on Neural Information Processing Systems (NeurIPS) . 21 p.

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

  19. E-pub ahead of print

    CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

    Benjamins, C., Eimer, T., Schubert, F., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Oct 2021, (E-pub ahead of print) Workshop on Ecological Theory of Reinforcement Learning, NeurIPS 2021. 20 p.

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

  20. Published

    Auto-PyTorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

    Zimmer, L., Lindauer, M. & Hutter, F., 1 Sept 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 9, p. 3079-3090 12 p., 9382913.

    Research output: Contribution to journalArticleResearchpeer review

  21. Published

    Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019

    Liu, Z., Pavao, A., Xu, Z., Escalera, S., Ferreira, F., Guyon, I., Hong, S., Hutter, F., Ji, R., Junior, J. C. S. J., Li, G., Lindauer, M., Luo, Z., Madadi, M., Nierhoff, T., Niu, K., Pan, C., Stoll, D., Treguer, S., Wang, J., Wang, P., Wu, C., Xiong, Y., Zela, A. & Zhang, Y., 1 Sept 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 9, p. 3108-3125 18 p., 9415128.

    Research output: Contribution to journalArticleResearchpeer review

  22. Published

    Same Side Stance Classification Shared Task 2019

    Ajjour, Y. (ed.), Al-Khatib, K. (ed.), Cimiano, P. (ed.), Baff, R. E. (ed.), Ell, B. (ed.), Stein, B. (ed.) & Wachsmuth, H. (ed.), 1 Jul 2021, (CEUR Workshop Proceedings)

    Research output: Book/ReportAnthologyResearchpeer review