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Publications

Displaying results 1 to 10 of 682.

  1. Roman Heinrich; Oleksandr Havrylov; Manisha Luthra; Johannes Wehrstein; Carsten Binnig

    Opening The Black-Box: Explaining Learned Cost Models For Databases

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 18, No. 12, Pages 5255-5258, arXiv, 2025.

  2. Joao Carvalho; An T. Le; Philipp Jahr; Qiao Sun; Julen Urain; Dorothea Koert; Jan Peters

    Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.08398, Pages 1-8, arXiv, 2024.

  3. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2409.16824, Pages 1-31, arXiv, 2024.

  4. Carlo D'Eramo; Davide Tateo; Andrea Bonarini; Marcello Restelli; Jan Peters

    Sharing Knowledge in Multi-Task Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2401.09561, Pages 1-18, arXiv, 2024.

  5. Guillaume Duret; Mohamed Mahmoud Sayed Shelkamy Ali; Nicolas Cazin; Danylo Mazurak; Anna Samsonenko; Alexandre Chapin; Florence Zara; Emmanuel Dellandréa; Liming Chen; Jan Peters

    FruitBin: A Tunable Large-Scale Dataset for Advancing 6D Pose Estimation in Fruit Bin-Picking Automation

    In: Alessio Del Bue; Cristian Canton; Jordi Pont-Tuset; Tatiana Tommasi (Hrsg.). Computer Vision - ECCV 2024 Workshops - Milan, Italy, September 29-October 4, 2024, Proceedings, Part I. Computer Vision Systems (CVS), Pages 73-90, Lecture Notes in Computer Science, Vol. 15623, Springer, 2024.

  6. Julen Urain; Ajay Mandlekar; Yilun Du; Mahi Shafiullah; Danfei Xu; Katerina Fragkiadaki; Georgia Chalvatzaki; Jan Peters

    Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.04380, Pages 1-20, arXiv, 2024.

  7. Luca Lach; Robert Haschke; Davide Tateo; Jan Peters; Helge J. Ritter; Júlia Borràs Sol; Carme Torras

    Zero-Shot Transfer of a Tactile-based Continuous Force Control Policy from Simulation to Robot

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024, Abu Dhabi, United Arab Emirates, October 14-18, 2024. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 725-732, IEEE, 2024.

  8. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  9. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  10. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

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