Oswin Krause

Oswin Krause

Adjunkt, Lektor


  1. Udgivet

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  2. Udgivet

    Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)

    Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (red.). International Joint Conferences on Artificial Intelligence, s. 5045-5049 5 s. (IJCAI International Joint Conference on Artificial Intelligence, Bind 2021-January).

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  3. Udgivet

    Distribution Learning in Evolutionary Strategies and Restricted Boltzmann Machines

    Krause, Oswin, 2015, Department of Computer Science, Faculty of Science, University of Copenhagen. 121 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

  4. Udgivet

    Unbounded population MO-CMA-ES for the bi-objective BBOB test suite

    Krause, Oswin, Glasmachers, T., Hansen, N. & Igel, Christian, 2016, Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, s. 1177-1184 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Udgivet

    Recombination Weight Based Selection in the DTS-CMA-ES

    Krause, Oswin, 2022, Parallel Problem Solving from Nature: PPSN XVII - 17th International Conference, PPSN 2022, Proceedings, Part II. Rudolph, G., Kononova, A. V., Aguirre, H., Kerschke, P., Ochoa, G. & Tušar, T. (red.). Springer, s. 295-308 14 s. (Lecture Notes in Computer Science, Bind 13399 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Learning Coulomb diamonds in large quantum dot arrays

    Krause, Oswin, Chatterjee, Anasua, Kuemmeth, Ferdinand & van Nieuwenburg, E., 2022, I: SciPost Physics. 13, 4, 24 s., 084.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    Qualitative and quantitative assessment of step size adaptation rules

    Krause, Oswin, Glasmachers, T. & Igel, Christian, 2017, Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, s. 139-148 10 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    Population-Contrastive-Divergence: Does consistency help with RBM training?

    Krause, Oswin, Fischer, A. & Igel, Christian, 2018, I: Pattern Recognition Letters. 102, s. 1-7

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  9. Udgivet

    A CMA-ES with multiplicative covariance matrix updates

    Krause, Oswin & Glasmachers, T., 2015, Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. Association for Computing Machinery, s. 281-288 8 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    Algorithms for estimating the partition function of restricted Boltzmann machines

    Krause, Oswin, Fischer, A. & Igel, Christian, jan. 2020, I: Artificial Intelligence. 278, 19 s., 103195.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

ID: 40813873