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Publikationen

Zeige Ergebnisse 1491 bis 1500 von 13804.

  1. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    PINNtegrate: PINN-based Integral-Learning for Variational and Interface Problems

    In: Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications". Workshop on Machine Learning Meets Differential Equations (ML-DE-2024), located at ECAI 2024, September 20, Santiago de Compostela, Spain, Pages 1-16, Proceedings of Machine Learning Research (PMLR), Vol. 255, PMLR, 2024.

  2. J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel

    Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors

    In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.

  3. Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation

    In: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pages 1761-1767, IEEE, 2024.

  4. Martin Atzmueller; Johannes Fürnkranz; Tomávs Kliegr; Ute Schmid

    Explainable and interpretable machine learning and data mining

    In: Data Mining and Knowledge Discovery, Vol. 38, No. 5, Pages 2571-2595, Springer, 2024.

  5. Sławomir Nowaczyk; Przemysław Biecek; Neo Christopher Chung; Mauro Vallati; Paweł Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; TomᨠKliegr

    Artificial Intelligence. ECAI 2023 International Workshops: XAI 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30--October 4, 2023, Proceedings, Part I

    Springer, 2024.

  6. N. Bohlinger; G. Czechmanowski; M. Krupka; P. Kicki; K. Walas; Jan Peters; D. Tateo

    One Policy to Run Them All: Towards an End-to-end Learning Approach to Multi-Embodiment Locomotion

    In: RSS 2024 Workshop on Embodiment-Aware Robot Learning. Robotics: Science and Systems (RSS-2024), RSS, 2024.

  7. T.L. Faust; H. Maraqten; E. Aghadavoodi; B. Belousov; Jan Peters

    Velocity-History-Based Soft Actor-Critic: Tackling IROS'24 Competition AI Olympics with RealAIGym

    In: IROS'24 Competition AI Olympics with RealAIGym. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2024), IROS, 2024.

  8. Oleg Kaidanov; F. Al-Hafez; Y. Süvari; B. Belousov; Jan Peters

    The Role of Domain Randomization in Training Diffusion Policies for Whole-Body Humanoid Control

    In: CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation: Applications in Humanoids and Beyond. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  9. N. Funk; J. Urain; J. Carvalho; V. Prasad; G. Chalvatzaki; Jan Peters

    ACTIONFLOW: Equivariant, Accurate, and Efficient Manipulation Policies with Flow Matching

    In: CoRL 2024 Workshop on Mastering Robot Manipulation in a World of Abundant Data. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

  10. M. Drolet; S. Stepputtis; S. Kailas; A. Jain; S. Schaal; Jan Peters; H. Ben Amor

    A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

    In: CoRL 2024 Workshop on Whole-body Control and Bimanual Manipulation. Conference on Robot Learning (CoRL-2024), CoRL, 2024.

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