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Manuel Haussmann

 https://orcid.org/0000-0002-8967-0849

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  • 9 Article in proceedings
  • 3 Journal article
  • 2 Conference article

  • Accurate surrogate amplitudes with calibrated uncertainties

    Bahl, H., Elmer, N., Favaro, L., Haußmann, M., Plehn, T. & Winterhalder, R., Oct 2025, In: SciPost Physics Core. 8, 4, 35 p., 073.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    26 Downloads (Pure)

  • Deep Exploration with PAC-Bayes

    Tasdighi, B., Haussmann, M., Werge, N., Wu, Y. S. & Kandemir, M., 21. Oct 2025, ECAI 2025 - 28th European Conference on Artificial Intelligence, including 14th Conference on Prestigious Applications of Intelligent Systems, PAIS 2025 - Proceedings. Lynce, I., Murano, N., Vallati, M., Villata, S., Chesani, F., Milano, M., Omicini, A. & Dastani, M. (eds.). IOS Press BV, p. 3138-3145 (Frontiers in Artificial Intelligence and Applications, Vol. 413).

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

    Open Access
    File
    4 Downloads (Pure)

  • High-Dimensional Bayesian Optimisation with Gaussian Process Prior Variational Autoencoders

    Ramchandran, S., Haussmann, M. & Lähdesmäki, H., 2025, 13th International Conference on Learning Representations, ICLR 2025. International Conference on Learning Representations, ICLR, p. 77982-78008 27 p.

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

  • Latent mixed-effect models for high-dimensional longitudinal data

    Ong, P., Haußmann, M., Lönnroth, O. & Lähdesmäki, H., Nov 2025, In: Transactions on Machine Learning Research. 05, 2025, 30 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    2 Downloads (Pure)

  • Overcoming Non-stationary Dynamics with Evidential Proximal Policy Optimization

    Akgül, A., Baykal, G., Haußmann, M. & Kandemir, M., 2025, In: Transactions on Machine Learning Research. 11, 2025, 35 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

    Open Access
    File
    4 Downloads (Pure)
View all 14 research outputs