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KISSKIVerbundprojekt: Ein hochverfügbares KI-Servicezentrum für sensible und kritische Infrastrukturen

Project: Research

Participants

1 - 5 out of 5Page size: 20

Publications

  1. 2024

  2. 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

  3. 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

  4. 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

  5. 2023

  6. E-pub ahead of print

    Contextualize Me – The Case for Context in Reinforcement Learning

    Benjamins, C., Eimer, T., Schubert, F. G., Mohan, A., Döhler, S., Biedenkapp, A., Rosenhahn, B., Hutter, F. & Lindauer, M., 5 Jun 2023, (E-pub ahead of print) In: Transactions on Machine Learning Research. 2023, 6

    Research output: Contribution to journalArticleResearchpeer review

  7. Published

    POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning

    Schubert, F., Benjamins, C., Döhler, S., Rosenhahn, B. & Lindauer, M., Apr 2023, In: Transactions on Machine Learning Research. 2023, 4

    Research output: Contribution to journalArticleResearchpeer review