Ansatte – Københavns Universitet

Oswin Krause

Oswin Krause

Adjunkt


Udgivelsesår:
  1. 2017
  2. Udgivet

    Qualitative and quantitative assessment of step size adaptation rules. / Krause, Oswin; Glasmachers, Tobias; Igel, Christian.

    Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms. Association for Computing Machinery, 2017. s. 139-148.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Convolutional neural networks for segmentation and object detection of human semen. / Nissen, Malte Stær; Krause, Oswin; Almstrup, Kristian; Kjærulff, Søren; Nielsen, Torben T.; Nielsen, Mads.

    Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. red. / Puneet Sharma; Filippo Maria Bianchi. Bind Part 1 Springer, 2017. s. 397-406.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. 2016
  5. Udgivet

    CMA-ES with optimal covariance update and storage complexity. / Krause, Oswin; Rodríguez Arbonès, Dídac; Igel, Christian.

    Advances in Neural Information Processing Systems 29 (NIPS 2016). red. / D. D. Lee; M. Sugiyama; U. V. Luxburg; I. Guyon; R. Garnett. Curran Associates, Inc., 2016. s. 370-378.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  6. Udgivet

    Multi-objective optimization with unbounded solution sets. / Krause, Oswin; Glasmachers, Tobias; Igel, Christian.

    2016. Paper præsenteret ved NIPS Workshop on Bayesian Optimization, Barcelona, Spanien.

    Publikation: KonferencebidragPaperForskningfagfællebedømt

  7. Udgivet

    Unbounded population MO-CMA-ES for the bi-objective BBOB test suite. / Krause, Oswin; Glasmachers, Tobias; Hansen, Nikolaus; Igel, Christian.

    Proceedings of the 2016 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, 2016. s. 1177-1184.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. 2015
  9. Udgivet

    A CMA-ES with multiplicative covariance matrix updates. / Krause, Oswin; Glasmachers, Tobias.

    Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. Association for Computing Machinery, 2015. s. 281-288.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    A more efficient rank-one covariance matrix update for evolution strategies. / Krause, Oswin; Igel, Christian.

    Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, 2015. s. 129-136.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  11. Udgivet

    Distribution Learning in Evolutionary Strategies and Restricted Boltzmann Machines. / Krause, Oswin.

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

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

  12. Udgivet

    Population Monte Carlo meets contrastive divergence learning. / Krause, Oswin; Fischer, Asja; Igel, Christian.

    Machine learning reports: Workshop New Challenges in Neural Computation 2015. red. / B. Hammer; M. Martinetz; T. Villmann. 2015. s. 93-94.

    Publikation: Bidrag til bog/antologi/rapportBidrag til rapportForskningfagfællebedømt

  13. 2013
  14. Udgivet

    Approximation properties of DBNs with binary hidden units and real-valued visible units. / Krause, Oswin; Fischer, Asja; Glasmachers, Tobias; Igel, Christian.

    Proceedings of the 30th International Conference on Machine Learning. red. / Sanjoy Dasgupta; David McAllester. 2013. s. 419-426.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

ID: 40813873