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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 2322.
  1. Aljoscha Burchardt; Jochen Büttner; Jürgen Renn

    Zukunftsszenarien für alle

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath. Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE. Pages 271-284, ISBN 978-3-658-44852-3, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

  2. Shashank Govindaraj; Wiebke Brinkmann; Francisco Javier Colmenero; Irene Sanz Nieto; Alexandru But; Matteo De Benedetti; Leon Cedric Danter; Mercedes Alonso; Enrique Heredia; Simon Lacroix; Dominik Kleszczynski; Joseph Purnell; Kevin Picton; Nabil Aouf; Luis Lopes

    Building a Lunar Infrastructure with the Help of a Heterogeneous (Semi)Autonomous Multi-robot-Team

    In: Xiu Tian Yan; Gianfranco Visentin. Space Robotics: The State of the Art and Future Trends. Pages 395-431, ISBN 978-3-031-39214-6, Springer Nature Switzerland, Cham, 2024.

  3. Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas

    I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, Association for Information Systems, 2024.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    T-FREE: Subword Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung Chen (Hrsg.). Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP), Pages 21829-21851, Association for Computational Linguistics, 2024.