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Publications

Displaying results 1431 to 1440 of 14861.

  1. Alexander Schultheis; Yannis Bertrand; Joscha Grüger; Lukas Malburg; Ralph Bergmann; Estefanía Serral Asensio

    Case-based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues

    In: Amiya Nayak (Hrsg.). IoT, Vol. 6, No. 4, MDPI, 10/2025.

  2. 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.

  3. 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.

  4. 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.

  5. Felix Divo; Eric Endress; Kevin Endler; Kristian Kersting; Devendra Singh Dhami

    Forecasting Company Fundamentals

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2411.05791, Pages 1-26, arXiv, 2024.

  6. Antonia Wüst; Tim Woydt; Lukas Helff; Devendra Singh Dhami; Constantin A. Rothkopf; Kristian Kersting

    Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.19546, Pages 1-25, arXiv, 2024.

  7. Maurice Kraus; Felix Divo; Devendra Singh Dhami; Kristian Kersting

    xLSTM-Mixer: Multivariate Time Series Forecasting by Mixing via Scalar Memories

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2410.16928, Pages 1-16, arXiv, 2024.

  8. 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.

  9. 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.

  10. Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting

    Learning by Self-Explaining

    In: Transactions on Machine Learning Research (TMLR), Vol. 2024, Pages 1-35, arXiv, 2024.

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