Fingerprint

Dive into the research topics where F. Mies is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning

    Tebbe, J., Zimmer, C., Steland, A., Lange-Hegermann, M. & Mies, F., 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024, Valencia, Spain. PMLR, Vol. 238. 21 p. (Proceedings of Machine Learning Research).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    10 Downloads (Pure)