| A CMA-ES with multiplicative covariance matrix updates O Krause, T Glasmachers Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 19 | 2015 |
| A loss function for generative neural networks based on watson’s perceptual model S Czolbe, O Krause, I Cox, C Igel Advances in Neural Information Processing Systems 33, 2051-2061, 2020 | 33 | 2020 |
| A more efficient rank-one covariance matrix update for evolution strategies O Krause, C Igel Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015 | 30 | 2015 |
| Algorithms for estimating the partition function of restricted Boltzmann machines O Krause, A Fischer, C Igel Artificial Intelligence 278, 103195, 2020 | 22 | 2020 |
| Approximation properties of DBNs with binary hidden units and real-valued visible units O Krause, A Fischer, T Glasmachers, C Igel International conference on machine learning, 419-426, 2013 | 20 | 2013 |
| Automatic, adaptive and sparse acquisition of Coulomb-blockade boundaries in quantum-dot arrays (Part 1) A Chatterjee, F Ansaloni, B Brovang, T Rasmussen, O Krause, ... APS March Meeting Abstracts 2021, F29. 012, 2021 | | 2021 |
| Automatic, adaptive and sparse acquisition of Coulomb-blockade boundaries in quantum-dot arrays (Part 2) B Brovang, T Rasmussen, A Chatterjee, O Krause, F Kuemmeth APS March Meeting Abstracts 2021, F29. 004, 2021 | | 2021 |
| Autonomous estimation of high-dimensional coulomb diamonds from sparse measurements A Chatterjee, F Ansaloni, T Rasmussen, B Brovang, F Fedele, ... Physical Review Applied 18 (6), 064040, 2022 | 13 | 2022 |
| Bayesian active learning for maximal information gain on model parameters K Arnavaz, A Feragen, O Krause, M Loog 2020 25th International Conference on Pattern Recognition (ICPR), 10524-10531, 2021 | 2 | 2021 |
| Clinical Validation TO Andersen, KD Nielsen, J Moll, JH Svendsen, S Shakibfar, O Krause, ... Journal of Medical Informatics 129, 381-387, 2019 | | 2019 |
| CMA-ES with optimal covariance update and storage complexity O Krause, DR Arbonès, C Igel Advances in neural information processing systems 29, 2016 | 47 | 2016 |
| Convergence analysis of the Hessian estimation evolution strategy T Glasmachers, O Krause Evolutionary computation 30 (1), 27-50, 2022 | 3 | 2022 |
| Convolutional neural networks for segmentation and object detection of human semen M Stær Nissen, O Krause, K Almstrup, S Kjærulff, T Trindkær Nielsen, ... arXiv e-prints, arXiv: 1704.00498, 2017 | | 2017 |
| Convolutional neural networks for segmentation and object detection of human semen MS Nissen, O Krause, K Almstrup, S Kjærulff, TT Nielsen, M Nielsen Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017 | 23 | 2017 |
| Deep Feature based Image Registration S Czolbe, O Krause, A Feragen | | |
| DeepSim: Semantic similarity metrics for learned image registration S Czolbe, O Krause, A Feragen arXiv preprint arXiv:2011.05735, 2020 | 9 | 2020 |
| Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ... Scientific reports 11 (1), 3246, 2021 | 84 | 2021 |
| Distribution Learning in Evolutionary Strategies and Restricted Boltzmann Machines O Krause University of Copenhagen, Faculty of Science [Department of Computer Science], 2015 | | 2015 |
| Estimation of convex polytopes for automatic discovery of charge state transitions in quantum dot arrays O Krause, B Brovang, T Rasmussen, A Chatterjee, F Kuemmeth Electronics 11 (15), 2327, 2022 | 5 | 2022 |
| Fast and Effective Multi-Objective Optimisation of Submerged Wave Energy Converters under Realistic Conditions DR Arbonès, NY Sergiienko, M Wagner, B Ding, O Krause, C Igel | | |
Christian IgelDepartment of Computer Science, University of CopenhagenVerified email at diku.dk