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Publications

Displaying results 1 to 10 of 3218.
  1. Sofia Faltenbacher*; Jonas Wahl*; Rebecca Jean Herman; Jakob Runge

    How PC-based Methods Err: Towards Better Reporting of Assumption Violations and Small Sample Errors

    In: Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI-2026), Amsterdam, Netherlands, Pages 1498-1519, Proceedings of Machine Learning Research, Vol. 337, PMLR, 8/2026.

  2. PGTG: Procedurally Generated Grid-Based Traffic Gym

    In: Reinforcement Learning Journal (RLJ), Vol. 7, Pages 1-28, Manning College of Information and Computer Sciences, University of Massachusetts Amherst, 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. 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. 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.