Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1 bis 10 von 795
  1. Aidmar Wainakh; Fabrizio Ventola; Till Müßig; Jens Keim; Carlos Garcia Cordero; Ephraim Zimmer; Tim Grube; Kristian Kersting; Max Mühlhäuser

    User-Level Label Leakage from Gradients in Federated Learning

    In: Proceedings on Privacy Enhancing Technologies (PoPETs), Vol. 2022, No. 2, Pages 227-244, De Gruyter, 2022.

  2. Patrick Schramowski; Cigdem Turan; Nico Andersen; Constantin A. Rothkopf; Kristian Kersting

    Large pre-trained language models contain human-like biases of what is right and wrong to do

    In: Nature Machine Intelligence, Vol. 4, No. 3, Pages 258-268, Springer, 2022.

  3. Parisa Kordjamshidi; Dan Roth; Kristian Kersting

    Declarative Learning-Based Programming as an Interface to AI Systems

    In: Frontiers in Artificial Intelligence, Vol. 5, Pages 0-10, Frontiers, 2022.

  4. Sonar-to-RGB Image Translation for Diver Monitoring in Poor Visibility Environments

    In: OCEANS 2022, Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Pages 1-9, OCEANS IEEE, 10/2022.

  5. Interpretability in Activation Space Analysis of Transformers: A Focused Survey

    In: AIMLAI' 22 Workshop. ACM International Conference on Information and Knowledge Management (CIKM-2022), October 17-21, Atlanta, Georgia, USA, CEUR …

  6. Amos Smith; Jeremy Coffelt; Kai Lingemann

    A Deep Learning Framework for Semantic Segmentation of Underwater Environments

    In: OCEANS 22 Hampton Roads. OCEANS MTS/IEEE Conference (OCEANS-2022), October 17-20, Hampton Roads, VA, USA, IEEE, 10/2022.

  7. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  8. On Optimal Behavior Under Uncertainty in Humans and Robots

    PhD-Thesis, Technische Universität Darmstadt, 2022.

  9. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning …

  10. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning …