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Publications

Displaying results 1121 to 1130 of 14473.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Siphesihle Sithungu; Christoph Lipps

    Critical Infrastructure Security and the Role of AI: An Overview

    In: Proceedings of the 24th European Conference on Cyber Warfare and Security. European Conference on Cyber Warfare and Security (ECCWS-2025), Kaiserslautern, Rheinland-Pfalz, Germany, Academic Conferences International, 6/2025.

  7. Clemens Möllenhoff; Bharat Agarwal; Jan Herbst; Matthias Rüb; Thomas Petzold; Tobias Pabst; Ralf Irmer; Christoph Lipps; Hans Dieter Schotten; Thomas Neumuth; Max Rockstroh

    Towards 6G-connected Healthcare: Perspectives, Risks and Real-World Applications for Smart Hospitals

    In: Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC-2025), July 14-17, Copenhagen, Denmark, IEEE, 7/2025.

  8. Christoph Lipps; Andreas Weinand; Ihab Alzalam; Hans Dieter Schotten

    Context as a Factor: The Aspect of Physical Layer Security in Multi-Factor Authentication Schemes

    In: Proceedings of the 20th International Conference on Cyber Warfare and Security. International Conference on Cyber Warfare and Security (ICCWS-2025), March 27-29, Williamsburg, VA, VA, USA, Academic Conferences International, 3/2025.

  9. Julie Gandrup; David Antony Selby; William Dixon

    Classifying self-reported rheumatoid arthritis flares using daily patient-generated data from a smartphone app: exploratory analysis applying machine learning approaches

    In: JMIR Formative Research (JMIR Form Res), Vol. 8, Page e50679, JMIR Publications, 5/2024.

  10. Muhammad Hassan; Mohamed Nadeem; Khushboo Qayyum; Chandan Jha; Rolf Drechsler

    Prompt. Verify. Repeat. LLMs in the Hardware Verification Cycle

    In: 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS). IEEE International Conference on Omni-layer Intelligent Systems (IEEE COINS-2025), August 4-6, Wisconsin, USA, IEEE, 2025.

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