Oswin Krause

Oswin Krause

Assistant Professor, Tenure Track Assistant Professor

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    ORCID: 0000-0002-0990-559X

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    1. Published

      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 others, 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, In: Scientific Reports. 11, 1, 12 p., 3246.

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

    2. Published

      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. (ed.). International Joint Conferences on Artificial Intelligence, p. 5045-5049 5 p. (IJCAI International Joint Conference on Artificial Intelligence, Vol. 2021-January).

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

    3. Published

      Distribution Learning in Evolutionary Strategies and Restricted Boltzmann Machines

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

      Research output: Book/Report › Ph.D. thesis › Research

    4. Published

      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, p. 1177-1184 8 p.

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

    5. Published

      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. (eds.). Springer, p. 295-308 14 p. (Lecture Notes in Computer Science, Vol. 13399 LNCS).

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

    6. Published

      Learning Coulomb diamonds in large quantum dot arrays

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

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

    7. Published

      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, p. 139-148 10 p.

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

    8. Published

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

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

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

    9. Published

      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, p. 281-288 8 p.

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

    10. Published

      Algorithms for estimating the partition function of restricted Boltzmann machines

      Krause, Oswin, Fischer, A. & Igel, Christian, Jan 2020, In: Artificial Intelligence. 278, 19 p., 103195.

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

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    ID: 40813873