Skip to main content Skip to main navigation

Publikationen

Zeige Ergebnisse 1151 bis 1160 von 14744.

  1. Chen Li; Yu-Dong Yao; Jiangwei Yan; Marcin Grzegorzek

    Artificial intelligence in forensic microbiology, volume II

    Pages 1-2, Vol. 15, Frontiers Media SA, 2024.

  2. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  3. Jan Ehrhardt; Heinz Handels

    Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

  4. 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.

  5. 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.

  6. Benedict Flade; Simon Kohaut; Julian Eggert; Devendra Singh Dhami; Kristian Kersting

    StaR Maps: Unveiling Uncertainty in Geospatial Relations

    In: 27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024, Edmonton, AB, Canada, September 24-27, 2024. IEEE Intelligent Transportation Systems Conference (IEEE ITSC), Pages 497-504, IEEE, 2024.

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

    Exploiting Cultural Biases via Homoglyphs inText-to-Image Synthesis (Abstract Reprint)

    In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024. International Joint Conference on Artificial Intelligence (IJCAI), ijcai.org, 2024.

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

    Learning to Intervene on Concept Bottlenecks

    In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.

  9. Michael Poli; Armin W. Thomas; Eric Nguyen; Pragaash Ponnusamy; Björn Deiseroth; Kristian Kersting; Taiji Suzuki; Brian L. Hie; Stefano Ermon; Christopher Ré; Ce Zhang; Stefano Massaroli

    Mechanistic Design and Scaling of Hybrid Architectures

    In: Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024. International Conference on Machine Learning (ICML), OpenReview.net, 2024.

  10. Jonas Seng; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Learning Large DAGs is Harder than you Think: Many Losses are Minimal for the Wrong DAG

    In: The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024. International Conference on Learning Representations (ICLR), OpenReview.net, 2024.

Jahr

Mehr Optionen