Oswin Krause
Assistant Professor, Associate Professor
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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 proceeding › Report chapter › Research › peer-review
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Multi-objective optimization with unbounded solution sets
Krause, Oswin, Glasmachers, T. & Igel, Christian, 2016. 6 p.Research output: Contribution to conference › Paper › Research › peer-review
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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
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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
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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
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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
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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
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Population-Contrastive-Divergence: Does consistency help with RBM training?
Krause, Oswin, Fischer, A. & Igel, Christian, 2018, In: Pattern Recognition Letters. 102, p. 1-7Research output: Contribution to journal › Journal article › Research › peer-review
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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
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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
ID: 40813873
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237
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Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
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143
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Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
Research output: Contribution to journal › Journal article › Research › peer-review
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70
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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Research output: Working paper › Preprint › Research
Published