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Claus Hofmann

MSc

  • Institute for Machine Learning
  • Emailclaus.hofmannjkuat
  • Overview
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  • Research output (5)

Research output

  • 5 Conference proceedings

Research output per year

Research output per year

  • AP-OOD: Attention Pooling for Out-of-Distribution Detection

    Hofmann, C., Huber, C., Lehner, B., Klotz, D., Hochreiter, S. & Zellinger, W., 2025, EurIPS 2025 Workshop on Metacognition in Generative AI. 1 ed. 25 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Energy-based Hopfield Boosting for Out-of-Distribution Detection

    Hofmann, C., Schmid, S., Lehner, B., Klotz, D. & Hochreiter, S., 2024, International Conference on Machine Learning (ICML 2024). 44 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • On the Robustness of Out-of-Distribution Detection Methods for Camera-based Systems

    Huber, C., Lehner, B., Hofmann, C., Moser, B. A. & Feger, R., 2024, Proceedings of the Asilomar Conference on Signals, Systems, and Computers (ACSSC 2024). 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Revealing Inherent and Counterintuitive Sensitivities of Out-Of-Distribution Detection Methods

    Huber, C., Lehner, B., Hofmann, C., Lin, W., Feger, R., Hochreiter, S. & Moser, B. A., 2024, Out Of Distribution Generalization in Computer Vision Workshop. 5 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Hopfield Boosting for Out-of-Distribution Detection

    Hofmann, C., Schmid, S., Lehner, B., Klotz, D. & Hochreiter, S., 2023, Conference Neural Information Processing Systems Foundation (NeurIPS 2023), Associative Memory & Hopfield Networks. 15 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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