Wouter Boomsma

Wouter Boomsma

Professor


  1. Published

    Adaptive Cholesky Gaussian Processes

    Bartels, S., Stensbo-Smidt, K., Moreno-Muñoz, P., Boomsma, Wouter, Frellsen, J. & Hauberg, S., 2023, In: Proceedings of Machine Learning Research. 206, p. 408--452 44 p.

    Research output: Contribution to journalConference articleResearchpeer-review

  2. Published

    Kernel-Matrix Determinant Estimates from stopped Cholesky Decomposition

    Bartels, S., Boomsma, Wouter, Frellsen, J. & Garreau, D., 2023, In: Journal of Machine Learning Research. 24, p. 1-57 71.

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Bayesian inference of protein ensembles from SAXS data

    Antonov, L. D., Olsson, S., Boomsma, Wouter & Hamelryck, Thomas Wim, 2016, In: Physical Chemistry Chemical Physics. 18, 8, p. 5832-5838 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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