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Publikationen

Zeige Ergebnisse 1431 bis 1440 von 14908.

  1. Eduardo Souza dos Reis; Mohamed Abdelaal; Carsten Binnig

    Generalizable Data Cleaning of Tabular Data in Latent Space

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 17, No. 13, Pages 4786-4798, VLDP, 2024.

  2. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

  3. Daniel Ochs; Karsten Wiertz; Sebastian Bußmann; Kristian Kersting; Devendra Singh Dhami

    Effective Risk Detection for Natural Gas Pipelines Using Low-Resolution Satellite Images

    In: Remote Sensing, Vol. 16, No. 2, Pages 1-13, MDPI, 2024.

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

    Learning differentiable logic programs for abstract visual reasoning

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 11, Pages 8533-8584, arXiv, 2024.

  5. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Structural causal models reveal confounder bias in linear program modelling

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 3, Pages 1329-1349, Springer, 2024.

  6. Dominik Hintersdorf; Lukas Struppek; Manuel Brack; Felix Friedrich; Patrick Schramowski; Kristian Kersting

    Does CLIP Know My Face?

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 80, Pages 1033-1062, arXiv, 2024.

  7. 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.

  8. Christopher E. Mower; Yuhui Wan; Hongzhan Yu; Antoine Grosnit; Jonas Gonzalez-Billandon; Matthieu Zimmer; Jinlong Wang; Xinyu Zhang; Yao Zhao; Anbang Zhai; Puze Liu; Davide Tateo; Cesar Cadena; Marco Hutter; Jan Peters; Guangjian Tian; Yuzheng Zhuang; Kun Shao; Xingyue Quan; Jianye Hao; Jun Wang; Haitham Bou-Ammar

    ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19741, Pages 1-26, arXiv, 2024.

  9. 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.

  10. Duy Minh Ho Nguyen; An Thai Le; Trung Nguyen; Nghiem Tuong Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: Vu Nguyen; Hsuan-Tien Lin (Hrsg.). Asian Conference on Machine Learning, 5-8 December 2024, Hanoi, Vietnam. Asian Conference on Machine Learning (ACML), Pages 687-702, Proceedings of Machine Learning Research, Vol. 260, PMLR, 2024.

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