Oswin Krause

Oswin Krause

Assistant Professor, Tenure Track Assistant Professor


  1. 2013
  2. Published

    Approximation properties of DBNs with binary hidden units and real-valued visible units

    Krause, Oswin, Fischer, A., Glasmachers, T. & Igel, Christian, 2013, Proceedings of the 30th International Conference on Machine Learning. Dasgupta, S. & McAllester, D. (eds.). p. 419-426 8 p. (JMLR: Workshop and Conference Proceedings, Vol. 28).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  3. 2015
  4. 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 proceedingArticle in proceedingsResearchpeer-review

  5. Published

    A more efficient rank-one covariance matrix update for evolution strategies

    Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, p. 129-136 8 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  6. 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/ReportPh.D. thesisResearch

  7. Published

    Population Monte Carlo meets contrastive divergence learning

    Krause, Oswin, Fischer, A. & Igel, Christian, 2015, Machine learning reports: Workshop New Challenges in Neural Computation 2015. Hammer, B., Martinetz, M. & Villmann, T. (eds.). p. 93-94 2 p.

    Research output: Chapter in Book/Report/Conference proceedingReport chapterResearchpeer-review

  8. 2016
  9. Published

    CMA-ES with optimal covariance update and storage complexity

    Krause, Oswin, Rodríguez Arbonès, D. & Igel, Christian, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Curran Associates, Inc., p. 370-378 9 p.

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  10. Published

    Multi-objective optimization with unbounded solution sets

    Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 p.

    Research output: Contribution to conferencePaperResearchpeer-review

  11. 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 proceedingArticle in proceedingsResearchpeer-review

  12. 2017
  13. Published

    Convolutional neural networks for segmentation and object detection of human semen

    Nissen, M. S., Krause, Oswin, Almstrup, Kristian, Kjærulff, S., Nielsen, T. T. & Nielsen, Mads, 2017, Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Sharma, P. & Bianchi, F. M. (eds.). Springer, Vol. Part 1. p. 397-406 10 p. (Lecture notes in computer science, Vol. 10269).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  14. 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 proceedingArticle in proceedingsResearchpeer-review

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