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Publications

Displaying results 1751 to 1760 of 15039.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Maximilian Tölle; Theo Gruner; Daniel Palenicek; Jonas Günster; Puze Liu; Joe Watson; Davide Tateo; Jan Peters

    Towards Safe Robot Foundation Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.07404, Pages 1-3, arXiv, 2025.

  7. Mathias Trampler; Marc Tabie; Julia Habenischt; Elsa Andrea Kirchner

    Exoskeleton based microgravity simulation for astronaut training

    In: MDPI Engineering Proceedings (E-ISSN 2673-4591). EASN International Conference on Innovation in Aviation & Space towards Sustainability Today & Tomorrow (EASN-2025), 15th, October 14-17, Madrid, Spain, MDPI, 2026.

  8. Khang Nguyen; An T. Le; Tien Pham; Manfred Huber; Jan Peters; Minh Nhat Vu

    FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.06135, Pages 1-7, arXiv, 2025.

  9. Théo Vincent; Tim Lukas Faust; Yogesh Tripathi; Jan Peters; Carlo D'Eramo

    Eau De emphQ-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.01437, Pages 1-26, arXiv, 2025.

  10. Nico Bohlinger; Jan Peters

    Massively Scaling Explicit Policy-conditioned Value Functions

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2502.11949, Pages 1-5, arXiv, 2025.

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