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Publikationen

Zeige Ergebnisse 921 bis 930 von 14699.

  1. Daniel Neykov; Timo Markert; Niklas Hellinger; Andreas Theissler; Martin Atzmueller; Sebastian Matich

    Differential Six-Axis Force and Torque Measurement in a Prototype Robotic Surgical Instrument

    In: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 11263-11270, IEEE, 10/2025.

  2. Leonid Schwenke; Till Stückemann; Martin Atzmueller

    Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability

    In: Proc. International Work-Conference on Artificial Neural Networks. International Work-Conference on Artificial Neural Networks (IWANN), Springer, 2025.

  3. Mandala von Westenholz; Martin Atzmueller; Tim Römer

    Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities

    In: Applied Network Science, Vol. 10, No. 1, Pages 1-27, SpringerOpen, 2025.

  4. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

    In: IEEE Access (IEEE), Vol. 13, Pages 130629-130637, IEEE, 2025.

  5. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  6. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

  7. Daniel Palenicek; Florian Vogt; Jan Peters

    Scaling Off-Policy Reinforcement Learning with Batch and Weight Normalization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.07523, Pages 1-23, arXiv, 2025.

  8. Fabian Roth; Dominik K. Klein; Maximilian Kannapinn; Jan Peters; Oliver Weeger

    Stable Port-Hamiltonian Neural Networks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02480, Pages 1-15, arXiv, 2025.

  9. Onur Celik; Zechu Li; Denis Blessing; Ge Li; Daniel Palanicek; Jan Peters; Georgia Chalvatzaki; Gerhard Neumann

    DIME:Diffusion-Based Maximum Entropy Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.02316, Pages 1-20, arXiv, 2025.

  10. Anish Abhijit Diwan; Julen Urain; Jens Kober; Jan Peters

    Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2501.14856, Pages 1-22, arXiv, 2025.

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