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Publications

Displaying results 1731 to 1740 of 15019.

  1. Quentin Delfosse; Sebastian Sztwiertnia; Mark Rothermel; Wolfgang Stammer; Kristian Kersting

    Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

    In: Amir Globersons; Lester Mackey; Danielle Belgrave; Angela Fan; Ulrich Paquet; Jakub M. Tomczak; Cheng Zhang (Hrsg.). Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024. International Conference on Neural Information Processing (ICONIP), arXiv, 2024.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. Nico Bohlinger; Jonathan Kinzel; Daniel Palenicek; Lukasz Antczak; Jan Peters

    Gait in Eight: Efficient On-Robot Learning for Omnidirectional Quadruped Locomotion

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2503.08375, Pages 1-8, arXiv, 2025.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

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