Datalogisk Institut, DIKU > Ansatte
Oswin Krause
Adjunkt
Image-Gruppen
Sigurdsgade 41, 2.02B, 2200 København N, Bygning: 2.02B
- 2017
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2016
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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: Konferencebidrag › Paper › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 2015
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Ph.d.-afhandling › Forskning
- 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/rapport › Bidrag til rapport › Forskning › fagfællebedømt
- 2013
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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