Skip to main content Skip to main navigation

Publications

Displaying results 301 to 310 of 676.
  1. Steven Braun; Martin Mundt; Kristian Kersting

    Deep Classifier Mimicry without Data Access

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2306.02090, Pages 0-10, arXiv, 2023.

  2. Sahil Sidheekh; Kristian Kersting; Sriraam Natarajan

    Probabilistic Flow Circuits: Towards Unified Deep Models for Tractable Probabilistic Inference

    In: Robin J. Evans; Ilya Shpitser (Hrsg.). Uncertainty in Artificial Intelligence. Conference in Uncertainty in Artificial Intelligence (UAI), July 31 - August 4, Pittsburgh, PA, USA, Pages 1964-1973, Proceedings of Machine Learning Research, Vol. 216, PMLR, 2023.

  3. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    (alpha)ILP: thinking visual scenes as differentiable logic programs

    In: Machine Learning, Vol. 112, No. 5, Pages 1465-1497, Springer, 2023.

  4. Hany Abdulsamad; Oleg Arenz; Jan Peters; Gerhard Neumann

    State-Regularized Policy Search for Linearized Dynamical Systems

    In: Laura Barbulescu; Jeremy Frank; Mausam; Stephen F. Smith (Hrsg.). Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2017), June 18-23, Pittsburgh, Pennsylvania, USA, Pages 419-424, AAAI Press, 2017.

  5. David Steinmann; Wolfgang Stammer; Felix Friedrich; Kristian Kersting

    Learning to Intervene on Concept Bottlenecks

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2308.13453, Pages 0-10, arXiv, 2023.

  6. Angelo Ugenti; Fabio Vulpi; Raúl Domínguez; Florian Cordes; Annalisa Milella; Giulio Reina

    On the role of feature and signal selection for terrain learning in planetary exploration robots

    In: Journal of Field Robotics (JFR), No. n/a, 12/2021.

  7. MACSQ: Massively Accelerated DeepQ Learning on GPUs using on-the-fly State Construction

    In: Parallel and Distributed Computing, Applications and Technologies. International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT-2021), 22nd, December 17-19, Guangzhou, China, Springer, 2022.

  8. Adriano Lucieri; Muhammad Naseer Bajwa; Stephan Alexander Braun; Muhammad Imran Malik; Andreas Dengel; Sheraz Ahmed

    ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions

    In: Filippo Molinari; Moi Hoon Yap (Hrsg.). Computer Methods and Programs in Biomedicine (CMPB), Vol. 1, Pages 1-12, Elsevier, Amsterdam, 2022.