Skip to main content Skip to main navigation

Publications

Displaying results 521 to 530 of 14767.

  1. Quentin Delfosse; Patrick Schramowski; Martin Mundt; Alejandro Molina; Kristian Kersting

    Adaptive Rational Activations to Boost Deep Reinforcement Learning

    In: Proceedings of the International Conference on Representation Learning (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview.net, 2024.

  2. Lukas Struppek; Dominik Hintersdorf; Kristian Kersting

    Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

    In: International Conference on Learning Representations (ICLR). International Conference on Learning Representations (ICLR-2024), OpenReview, 2024.

  3. Lukas Struppek; Minh Hieu Le; Dominik Hintersdorf; Kristian Kersting

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  4. Saurabh Mathur; Veerendra P. Gadekar; Rashika Ramola; Peixin Wang; Ramachandran Thiruvengadam; David M. Haas; Shinjini Bhatnagar; Nitya Wadhwa; Garbhini Study Group; Predrag Radivojac; Himanshu Sinha; Kristian Kersting; Sriraam Natarajan

    Modeling Multiple Adverse Pregnancy Outcomes: Learning from Diverse Data Sources

    In: Joseph Finkelstein; Robert Moskovitch; Enea Parimbelli (Hrsg.). Artificial Intelligence in Medicine - 22nd International Conference, AIME 2024, Salt Lake City, UT, USA, July 9-12, 2024, Proceedings, Part I. Conference on Artificial Intelligence in Medicine (AIME), Pages 293-302, Lecture Notes in Computer Science, Vol. 14844, Springer, 2024.

  5. Brian Moser; Arundhati Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel

    A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

    In: ArXiv e-prints (arxiv), Vol. arxiv, Pages 0-0, arxiv, 2025.

  6. Pixi Kang; Julian Moosmann; Mengxi Liu; Bo Zhou; Michele Magno; Paul Lukowicz; Sizhen Bian

    Bridging Generalization and Personalization in Human Activity Recognition via On-Device Few-Shot Learning

    In: MobileHCI '25: Proceedings of the 27th International Conference on Mobile Human-Computer Interaction. ACM International Conference on Mobile Human-Computer Interaction (MobileHCI-2025), ACM, 9/2025.

  7. Luis Octavio Arriaga Camargo; Rebecca Adam; Melvin Laux; Lisa Gutzeit; Marco Ragni; Jan Peters; Frank Kirchner

    Bayesian Inverse Physics for Neuro-Symbolic Robot Learning

    In: Leilani Gilpin; Eleonora Giunchiglia; Pascal Hitzler; Emile van Krieken (Hrsg.). Neurosymbolic Artificial Intelligence, Pages 1-19, IOS Press, 2025.

  8. Philipp Richard; Alexis T. Bernhard; Andreas Luxenburger; Henning Gösling; Achim Wagner

    Agent-based Initialization of Autonomous Mobile Robots: Leveraging the Asset Administration Shell for automated Commissioning

    In: 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2025), September 9-12, Porto, Portugal, IEEE, 2025.

  9. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    Personalised and Contextualised Image Captioning: Human-in-the-Loop Design and Evaluation

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 2025.

  10. Aliki Anagnostopoulou; Sara-Jane Bittner; Lavanya Govindaraju; Hasan Md Tusfiqur Alam; Daniel Sonntag

    CUTIE: A human-in-the-loop interface for the generation of personalised and contextualised image captions

    In: Mensch und Computer 2025 - Workshopband. Mensch und Computer (MuC-2025), MCI-WS04: ABIS 2025 - International Workshop on Personalization and Recommendation, August 31 - September 3, Chemnitz, Germany, Gesellschaft für Informatik e.V. 9/2025.

Year

More options