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Publications

Displaying results 241 to 250 of 579.

  1. Josip Josifovski; Mohammadhossein Malmir; Noah Klarmann; Bare Luka Zagar; Nicolás Navarro-Guerrero; Alois Knoll

    Analysis of Randomization Effects on Sim2Real Transfer in Reinforcement Learning for Robotic Manipulation Tasks

    In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 23-27, Kyoto, Japan, Pages 10193-10200, ISBN 978-1-66547-927-1, IEEE, 10/2022.

  2. Stefan Bloemheuvel; Jurgen van den Hoogen; Dario Jozinovic; Alberto Michelini; Martin Atzmueller

    Graph neural networks for multivariate time series regression with application to seismic data

    In: International Journal of Data Science and Analytics, Pages 1-16, Springer, 8/2022.

  3. Freddy Sikouonmeu; Martin Atzmueller

    Active-Learning-Driven Deep Interactive Segmentation for Cost-Effective Labeling of Crop-Weed Image Data

    In: Konferenzband der 43. GIL-Jahrestagung. GIL-Jahrestagung (GIL-2023) Resiliente Agri-Food-Systeme: Herausforderungen und Lösungsansätze. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2023), February 13-14, Osnabrück, Germany, GI, Bonn, 2023.

  4. Ammar Memari; Van Coung Dam; Lars Nolle

    Deep Learning for Detecting Tilt Angle and Orientation of Photovoltaic Panels on Satellite Imagery

    In: Artificial Intelligence XXXIX - 42nd SGAI International Conference on Artificial Intelligence, AI 2022 - Proceedings. SGAI International Conference on Artificial Intelligence (AI-2022), December 13-15, Cambridge, United Kingdom, Lecture Notes in Artificial Intelligence (LNAI), Vol. 13652, Springer Nature Switzerland AG, Cham, 12/2022.

  5. Arseny Skryagin; Wolfgang Stammer; Daniel Ochs; Devendra Singh Dhami; Kristian Kersting

    Neural-Probabilistic Answer Set Programming

    In: Gabriele Kern-Isberner; Gerhard Lakemeyer; Thomas Meyer (Hrsg.). Proceedings of the 19th International Conference on Principles of Knowledge Representation and Reasoning. International Conference on Principles of Knowledge Representation and Reasoning (KR-2022), July 31 - August 5, Haifa, Israel, IJCAI Organization, 2022.

  6. Nandini Ramanan; Mayukh Das; Kristian Kersting; Sriraam Natarajan

    Discriminative Non-Parametric Learning of Arithmetic Circuits

    In: Manfred Jaeger; Thomas Dyhre Nielsen (Hrsg.). Proceedings of the 10th International Conference on Probabilistic Graphical Models. International Conference on Probabilistic Graphical Models (PGM-2020), September 23-25, Aalborg, Denmark, Pages 353-364, Proceedings of Machine Learning Research, Vol. 138, PMLR, 2020.

  7. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting

    CLIPping Privacy: Identity Inference Attacks on Multi-Modal Machine Learning Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2209.07341, Pages 0-10, arXiv, 2022.

  8. Frieder Uhlig; Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Transformer-Boosted Anomaly Detection with Fuzzy Hashes

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2208.11367, Pages 0-10, arXiv, 2022.

  9. Xiaoting Shao; Karl Stelzner; Kristian Kersting

    Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2202.00391, Pages 0-10, arXiv, 2022.

  10. Zihan Ye; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting

    Differentiable Meta logical Programming

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2211.11650, Pages 0-10, arXiv, 2022.

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