Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1391 bis 1400 von 14766.

  1. Dominik Hintersdorf; Lukas Struppek; Kristian Kersting; Adam Dziedzic; Franziska Boenisch

    Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. Neural Information Processing Systems (NeurIPS), arXiv, 2024.

  2. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

  3. Björn Deiseroth; Max Meuer; Nikolas Gritsch; Constantin Eichenberg; Patrick Schramowski; Matthias Aßenmacher; Kristian Kersting

    Divergent Token Metrics: Measuring degradation to prune away LLM components - and optimize quantization

    In: Kevin Duh; Helena Gómez-Adorno; Steven Bethard (Hrsg.). Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Annual Conference of the North American Chapter of the Association for Computational Linguistics (HLT-NAACL), Pages 6764-6783, Association for Computational Linguistics, 2024.

  4. Tahira Shehzadi; Khurram Azeem Hashmi; Didier Stricker; Muhammad Zeshan Afzal

    Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. International Conference on Computer Vision and Pattern Recognition (CVPR-2024), June 17-21, Seattle, WA, USA, IEEE/CVF, USA, 6/2024.

  5. Jonas Eisenmenger; Jonas Benz

    Development of a leveling and loosening mechanism for fine sediments on a test track for planetary robots

    In: 13th EASN International Conference on Innovation in Aviation & Space for opening New Horizons (13th EASN 2023). EASN International Conference on Innovation in Aviation and Space for opening New Horizons, September 5-8, Salerno, Italy, Journal of Physics: Conference Series (JPCS), Vol. 2716, IOP Publishing Ltd, 3/2024.

  6. Henning Wiedemann; Moritz Schilling; Priyanka Chowdhury; Wiebke Brinkmann; Isabelle Kien; Jieying Li; Malte Langosz; Erik Michelson

    Enhancing Development of Modular Application-Specific Configurable Space Robots

    In: Journal of Physics: Conference Series (JPCS), Vol. 2716 (2024) 012094, Pages 1-8, IOP Publishing, 3/2024.

  7. Malte Luttermann; Johann Machemer; Marcel Gehrke

    Efficient Detection of Exchangeable Factors in Factor Graphs

    In: Proceedings of the Thirty-Seventh International FLAIRS Conference. International FLAIRS Conference (FLAIRS-2024), May 19-21, Miramar Beach, FL, USA, Vol. 37, Florida Online Journals, 5/2024.

  8. Sophia Sylvester; Merle Sagehorn; Thomas Gruber; Martin Atzmueller; Benjamin Schöne

    SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods

    In: Behavior Research Methods, Pages 1-15, Springer, 2024.

  9. Mehmed Yüksel; Wiebke Brinkmann; Marko Jankovic; Hilmi Dogu Kücüker; Frank Kirchner

    Enhanced multifunctional interface for reconfigurability of robotic teams in planetary applications

    In: 2024 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation (ICRA-2024), May 13-17, Yokohama, Japan, o. A. 5/2024.

  10. Yaxu Xie; Alain Pagani; Didier Stricker

    SG-PGM: Partial Graph Matching Network with Semantic Geometric Fusion for 3D Scene Graph Alignment and Its Downstream Tasks

    In: Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2024), June 17-24, Seattle, WA, USA, IEEE, 2024.

Jahr

Mehr Optionen