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Publikationen

Zeige Ergebnisse 71 bis 80 von 15202.

  1. Keyhyun Ku; Rida Saghir; Thiago Gouvea; Daniel Sonntag

    Hierarchy-Aware Representation Learning for Bio-acoustic Data

    In: Proceedings of the 3rd Workshop on Computer Vision for Ecology (CV4Ecology 2026). Workshop on Computer Vision for Ecology (CV4E-2026), located at ECCV-2026, September 8, Malmö, Sweden, Springer, 2026.

  2. Tom Vincent Slawik; Shubham Vyas; Bilal Wehbe; Leif Christensen; Frank Kirchner

    Prioritized Motion Control Robust to Actuator Failure for Hovering-Type AUVs Using INDI-QP

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 11, No. 9, Pages 10481-10488, IEEE, 7/2026.

  3. IEEE/RSJ (Hrsg.)

    WOLF-VLA: Whole-Body Humanoid Optimal Locomotion Framework for Vision-Language-Action Learning

    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), located at IEEE/RSJ -2026, PITTSBURGH, USA, USA, IEEE, 2026.

  4. Vamsi Krishna Origanti; Alexander Fabisch; Frank Kirchner

    CVLAMP: Compliant Vision Language Action Movement Primitives

    In: Late-Breaking Result, 2026 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2026), September 27 - October 1, Pittsburgh, PA, USA, IEEE/RSJ International Conference on Intelligent Robots and Systems, 9/2026.

  5. Amirhossein Barzandeh; Christoph Manss; Frederic Theodor Stahl; Ilja Maljutenko; Sander Rikka; Urmas Raudsepp

    Partial Emulation of Simulated Sea-Surface Currents in the Baltic Sea: An Assessment of Explainability and Potential Forecast Skill

    In: EGU General Assembly. EGU General Assembly (EGU-2026), May 3-8, Vienna, Austria, Vol. EGU26, No. 17936, Copernicus, Göttingen, 3/2026.

  6. Amirhossein Barzandeh; Christoph Manss; Frederic Theodor Stahl; Ilja Maljutenko; Sander Rikka; Urmas Raudsepp

    Data-Driven Emulation of Numerically Simulated Baltic Sea Surface Currents With a Deep Convolutional U-Net: Explainability and Potential Forecast Skill

    In: Journal of Geophysical Research: Oceans (JGR Oceans), Vol. 3, No. 4, Pages 1-31, Wiley, New Jersey, 8/2026.

  7. Heiko Maus

    Wissensgraphen in der Praxis: Datensilos aufbrechen, Mehrwerte generieren

    Unsere Archive - Mitteilungen aus den rheinland-pfälzischen und saarländischen Archiven, Pages 12-15, Vol. 71, 10/2026.

  8. Jiacheng Qiu; Christopher E. Mower; Jan Peters; Haitham Bou-Ammar; Matthieu Zimmer

    Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2609.38536, Pages 1-24, arXiv, 2026.

  9. Tan-Dzung Do; Phuong Tuan Dat; Nico Bohlinger; Cuc T. Trinh; Siwei Ju; Vien Anh Ngo; Jan Peters; Xinchao Wang; An T. Le

    CrossBFM: Distilling a Shared Latent Behavior Space Across Humanoid Embodiments

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2609.38087, Pages 1-23, arXiv, 2026.

  10. Nico Bohlinger; Jan Peters

    ChronoSRL: Temporal Geometry for Self-Supervised Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2609.36238, Pages 1-27, arXiv, 2026.

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