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Publications

Displaying results 1801 to 1810 of 15138.

  1. 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.

  2. 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.

  3. 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.

  4. Johannes Czech; Jannis Blüml; Kristian Kersting; Hedinn Steingrimsson

    Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers

    In: Ulle Endriss; Francisco S. Melo; Kerstin Bach; Alberto José Bugarín Diz; Jose Maria Alonso-Moral; Senén Barro; Fredrik Heintz (Hrsg.). ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). AAAI Conference on Artificial Intelligence (AAAI), Pages 2378-2385, Frontiers in Artificial Intelligence and Applications, Vol. 392, IOS Press, 2024.

  5. Moritz Willig; Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Do Not Marginalize Mechanisms, Rather Consolidate!

    In: Alice Oh; Tristan Naumann; Amir Globerson; Kate Saenko; Moritz Hardt; Sergey Levine (Hrsg.). Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. Neural Information Processing Systems (NeurIPS), Pages 1-19, arXiv, 2023.

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

    Mission Design for Unmanned Aerial Vehicles using Hybrid Probabilistic Logic Programs

    In: 26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023, Bilbao, Spain, September 24-28, 2023. IEEE Intelligent Transportation Systems Conference (IEEE ITSC), Pages 1506-1513, IEEE, 2023.

  7. Martin Feick; Kora Persephone Regitz; André Zenner

    Delusionized? Potential Harms of Proprioceptive Manipulations through Hand Redirection in Virtual Reality

    In: Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology (UIST-2025), Busan, Korea, Republic of, UIST '25, ISBN 9798400720376, Association for Computing Machinery, 2025.

  8. Ajay Dholakia; David Ellison; Miro Hodak; Debojyoti Dutta; Carsten Binnig

    Benchmarking Generative AI Performance Requires a Holistic Approach

    In: Raghunath Nambiar; Meikel Poess (Hrsg.). Performance Evaluation and Benchmarking: 15th TPC Technology Conference, TPCTC 2023, Vancouver, BC, Canada, August 28 - September 1, 2023, Revised Selected Papers. Technology Conference on Performance Evaluation and Benchmarking (TPCTC), Pages 34-43, Lecture Notes in Computer Science, Vol. 14247, Springer, 2023.

  9. Sven Langenecker; Christoph Sturm; Christian Schalles; Carsten Binnig

    Pythagoras: Semantic Type Detection of Numerical Data Using Graph Neural Networks

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. GI-Workshop-Tage "Lernen, Wissen, Daten, Analysen" (LWDA), Pages 146-152, CEUR Workshop Proceedings, Vol. 3630, CEUR-WS.org, 2023.

  10. Meghdad Mirabi; René Klaus Nikiel; Carsten Binnig

    SafeML: A Privacy-Preserving Byzantine-Robust Framework for Distributed Machine Learning Training

    In: Jihe Wang; Yi He; Thang N. Dinh; Christan Grant; Meikang Qiu; Witold Pedrycz (Hrsg.). 23rd IEEE International Conference on Data Mining Workshops - ICDMW 2023. International Workshop on Trustworthy Knowledge Discovery and Data Mining (TrustKDD-2023), December 1, Shanghai, China, Pages 207-216, IEEE, 2023.

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