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Publications

Displaying results 221 to 230 of 682.

  1. Daniel Sonntag

    Computational Sustainability and Technology (CST)

    Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, Technical Note, 2025.

  2. Pragati Jaiswal; Didier Stricker

    HI^2: Sparse-View 3D Object Reconstruction with a Hybrid Implicit Initialization

    In: Proceedings of the 14th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2025), February 23-25, Porto, Portugal, SCITEPRESS (Science and Technology Publications, Lda), 2025.

  3. Nijat Mehdiyev; Maxim Majlatow; Peter Fettke

    Augmenting post-hoc explanations for predictive process monitoring with uncertainty quantification via conformalized Monte Carlo dropout

    In: Data & Knowledge Engineering (DKE), Vol. 156 (March 2025), Pages 1-29, Elsevier B.V. 12/2024.

  4. Igor Vozniak; Pavel Astreika; Philipp Müller; Nils Lipp; Christian Müller; Philipp Slusallek

    HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation

    In: VISIGRAPP (4): VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2024), SCITEPRESS, 2024.

  5. Tristan Schneider; Matheus V. A. Pedrosa; Timo P. Gros; Verena Wolf; Kathrin Flaßkamp

    Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving

    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, Pages 17852-17864, IEEE, 9/2024.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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