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Publikationen

Zeige Ergebnisse 1511 bis 1520 von 14517.

  1. 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.

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

    Exploring the Adversarial Capabilities of Large Language Models

    2024.

  3. 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.

  4. Jonas Seng; Florian Peter Busch; Kristian Kersting

    Causality in Flux: Continual Adaptation of Causal Knowledge via Evidence Matching

    In: Martin Mundt; Keiland W. Cooper; Devendra Singh Dhami; Tyler L. Hayes; Rebecca Herman; Adéle Ribeiro; James Seale Smith (Hrsg.). Proceedings of The Second AAAI Bridge Program on Continual Causality. AAAI Bridge Program on Continual Causality, February 20-21, Vancouver, Canada, Pages 11-20, Proceedings of Machine Learning Research (PMLR), Vol. 268, PMLR, 2024.

  5. Alexander Winter; Toralf Kirsten; Mattis Hartwig

    Improving Patient Trajectory Forecasts in Hospitals: Using Emergency Department Data for Length of Stay Prediction and Next Hospital Unit Classification

    In: Ana Moita; Katja Bühler; Hesham Ali; Ning Deng; Ioanna Chouvarda; Federico Cabitza; Ana Fred; Hugo Gamboa (Hrsg.). Biomedical Engineering Systems and Technologies. International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC-2023), 16th International Joint Conference, BIOSTEC 2023, Lisbon, Portugal, February 16–18, 2023, Revised Selected Papers, February 16-18, Lisbon, Portugal, Pages 84-106, ISBN 978-3-031-67088-6, Springer Nature Switzerland, 7/2024.

  6. Arseny Skryagin; Daniel Ochs; Phillip Deibert; Simon Kohaut; Devendra Singh Dhami; Kristian Kersting

    Answer Set Networks: Casting Answer Set Programming into Deep Learning

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.14814, Pages 1-16, arXiv, 2024.

  7. Sriraam Natarajan; Saurabh Mathur; Sahil Sidheekh; Wolfgang Stammer; Kristian Kersting

    Human-in-the-loop or AI-in-the-loop? Automate or Collaborate?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.14232, Pages 1-7, arXiv, 2024.

  8. David Steinmann; Felix Divo; Maurice Kraus; Antonia Wüst; Lukas Struppek; Felix Friedrich; Kristian Kersting

    Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.05152, Pages 1-31, arXiv, 2024.

  9. Arseny Skryagin; Felix Divo; Mohammad Amin Ali; Devendra Singh Dhami; Kristian Kersting

    Graph Neural Networks Need Cluster-Normalize-Activate Modules

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2412.04064, Pages 1-17, arXiv, 2024.

  10. Ruben Härle; Felix Friedrich; Manuel Brack; Björn Deiseroth; Patrick Schramowski; Kristian Kersting

    SCAR: Sparse Conditioned Autoencoders for Concept Detection and Steering in LLMs

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.07122, Pages 1-11, arXiv, 2024.

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