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Publikationen

Zeige Ergebnisse 821 bis 830 von 14617.

  1. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries

    In: Rosa Meo; Fabrizio Silvestri (Hrsg.). Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-WS), Cham, Pages 501-510, ISBN 978-3-031-74633-8, Springer Nature Switzerland, 2025.

  2. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  3. Martin Atzmueller; Tim Bohne; Anne-Kathrin Patricia Windler

    Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

  4. Nico Bohlinger; Jan Peters

    Multi-Embodiment Locomotion at Scale with extreme Embodiment Randomization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2509.02815, Pages 1-5, arXiv, 2025.

  5. Magnus Dierking; Christopher E. Mower; Sarthak Das; Helong Huang; Jiacheng Qiu; Cody Reading; Wei Chen; Huidong Liang; Guowei Huang; Xingyue Quan; Jun Wang; Haitham Bou-Ammar; Jan Peters

    Ark: An Open-source Python-based Framework for Robot Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.21628, Pages 1-29, arXiv, 2025.

  6. Lucas Schulze; Jan Peters; Oleg Arenz

    Context-Aware Deep Lagrangian Networks for Model Predictive Control

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.15249, Pages 1-8, arXiv, 2025.

  7. Khang Nguyen; An T. Le; Jan Peters; Minh Nhat Vu

    DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.12095, Pages 1-8, arXiv, 2025.

  8. Tim Schneider; Guillaume Duret; Cristiana de Farias; Roberto Calandra; Liming Chen; Jan Peters

    Tactile MNIST: Benchmarking Active Tactile Perception

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.06361, Pages 1-39, arXiv, 2025.

  9. Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters; Carlo D'Eramo

    Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2506.04398, Pages 1-22, arXiv, 2025.

  10. Bang You; Puze Liu; Huaping Liu; Jan Peters; Oleg Arenz

    Maximum Total Correlation Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2505.16734, Pages 1-23, arXiv, 2025.

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