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Publications

Displaying results 1751 to 1760 of 14769.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Subarnaduti Paul; Lars-Joel Frey; Roshni Ramanna Kamath; Kristian Kersting; Martin Mundt

    Masked Autoencoders are Efficient Continual Federated Learners

    In: Vincenzo Lomonaco; Stefano Melacci; Tinne Tuytelaars; Sarath Chandar; Razvan Pascanu (Hrsg.). Conference on Lifelong Learning Agents, 29-1 August 2024, University of Pisa, Pisa, Italy. Conference on Lifelong Learning Agents (CoLLAs), Pages 70-85, Proceedings of Machine Learning Research, Vol. 274, PMLR, 2024.

  8. Jonas Seng; Fabian Kalter; Zhongjie Yu; Fabrizio Ventola; Kristian Kersting

    Bi-Level One-Shot Architecture Search for Probabilistic Time Series Forecasting

    In: Katharina Eggensperger; Roman Garnett; Joaquin Vanschoren; Marius Lindauer; Jacob R. Gardner (Hrsg.). International Conference on Automated Machine Learning, 9-12 September 2024, Sorbonne Université, Paris, France. International Conference on Machine Learning (ICML), Pages 10/1-20, Proceedings of Machine Learning Research, Vol. 256, PMLR, 2024.

  9. Fei Chen; Sunita Saha; Manuela Schuler; Philipp Slusallek; Tim Dahmen

    im2im: Automatically Converting In-Memory Image Representations using a Knowledge Graph Approach

    In: Proceedings of the ACM on Programming Languages. International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA-2025), October 12-18, Singapore, Pages 248-273, Vol. 9, No. OOPSLA2, Association for Computing Machinery, New York, NY, USA, 10/2025.

  10. Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting

    DeiSAM: Segment Anything with Deictic Prompting

    In: Proceedings of the 38th Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), Advances in Neural Information Processing Systems, 2024.

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