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Publikationen

Zeige Ergebnisse 951 bis 960 von 15161.

  1. Daniel Geißler; Lars Krupp; Vishal Banwari; David Kariem Habusch; Bo Zhou; Paul Lukowicz; Jakob Karolus

    Human in the Latent Loop (HILL): Interactively Guiding Model Training Through Human Intuition

    In: Frontiers in Artificial Intelligence and Applications. International Conference on Hybrid Human-Artificial Intelligence (HHAI-2025), IOS Press Ebooks, 2025.

  2. Thomas Mortier; Cas Decancq; Yusuf Sale; Alireza Javanmardi; Willem Waegeman; Eyke Hüllermeier; Diego G. Miralles

    Valid Prediction Intervals for Weather Forecasting with Conformal Prediction

    In: EGU General Assembly 2025. EGU General Assembly (EGU-2025), April 27 - May 2, Vienna, Austria, Pages 17783-17783, Copernicus GmbH, Göttingen, Germany, 4/2025.

  3. Tanja Bäumel; Daniil Gurgurov; Yusser Al Ghussin; Josef van Genabith; Simon Ostermann

    Modular Arithmetic: Language Models Solve Math Digit by Digit

    In: Kentaro Inui; Sakriani Sakti; Haofen Wang; Derek F. Wong; Pushpak Bhattacharyya; Biplab Banerjee; Asif Ekbal; Tanmoy Chakraborty; Dhirendra Pratap Singh (Hrsg.). Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-2025), Mumbai, India, Pages 1380-1409, ISBN 979-8-89176-303-6, The Asian Federation of Natural Language Processing and The Association for Computational Linguistics, 2025.

  4. Mansi Sharma; Enrico Sartor; Marc Cavazza; Helmut Prendinger

    Echo State Networks for Bitcoin Time Series Prediction

    In: International Conference on Neural Information Processing. International Conference on Neural Information Processing (ICONIP), Pages 365-380, Springer, 2025.

  5. Mansi Sharma; Alexandre Duchevet; Florian Daiber; Jean-Paul Imbert; Maurice Rekrut

    Distinguishing Startle from Surprise Events Based on Physiological Signals

    In: 2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE-2025), October 22-24, Ancona, Italy, Pages 675-680, IEEE, 2025.

  6. Sina Shafaei; Alex Palaios; Zied Ennaceur; Jiajing Zhang; Vedhas Pandit; Pramesh Gautam; Afsaneh Gharouni; Borislava Gajic; Bitan Banerjee; Sachinkumar B. Mallikarjun; Mohammad Asif Habibi; Phuong Bich Duong; Simone Mangiante; Muhammad Qurratulain Khan; Mohammad Parvini; Philipp Schulz; Faizan Rauf; Norman Franchi; Renato L. G. Cavalcante; Jochen Fink; Philipp Reitz; Maximilian Lübke; Torsten ReißLand; Ali El Husseini; Reem Karaki; Zahra Seifaei; Marco Danger; Carsten Bockelmann; Arne Bröring; Guenter Klas; Slawomir Stanczak; Hans Dieter Schotten; Gerhard P. Fettweis; Admela Jukan; Giang T. Nguyen; Rafael F. Schaefer; Ralf Irmer; Christian Wietfeld; Armin Dekorsy

    Toward AI in 6G: Concepts, Techniques, and Standards

    In: IEEE Access (IEEE), Vol. 13, Pages 143843-143874, IEEE, 2025.

  7. Jo~ao Carvalho; An T. Le; Piotr Kicki; Dorothea Koert; Jan Peters

    Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4881-4901, arXiv, 2025.

  8. Vignesh Prasad; Lea Heitlinger; Dorothea Koert; Ruth Stock-Homburg; Jan Peters; Georgia Chalvatzaki

    Learning Multimodal Latent Dynamics for Human-Robot Interaction

    In: IEEE Transactions on Robotics (T-RO), Vol. 41, Pages 4418-4438, arXiv, 2025.

  9. Joe Watson; Chen Song; Oliver Weeger; Theo Gruner; An Thai Le; Kay Hansel; Ahmed Hendawy; Oleg Arenz; Will Trojak; Miles D. Cranmer; Carlo D'Eramo; Fabian Bülow; Tanmay Goyal; Jan Peters; Martin W. Hoffmann

    Machine Learning with Physics Knowledge for Prediction: A Survey

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-61, arXiv, 2025.

  10. Théo Vincent; Daniel Palenicek; Boris Belousov; Jan Peters; Carlo D'Eramo

    Iterated emphQ-Network: Beyond One-Step Bellman Updates in Deep Reinforcement Learning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-26, arXiv, 2025.

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