Oswin Krause
Oswin Krause
Department of Computer Science, University of Copenhagen
Verified email at di.ku.dk
Title
Cited by
Cited by
Year
CMA-ES with optimal covariance update and storage complexity
O Krause, DR Arbonès, C Igel
Advances in Neural Information Processing Systems, 370-378, 2016
262016
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
172015
Unbounded population MO-CMA-ES for the bi-objective BBOB test suite
O Krause, T Glasmachers, N Hansen, C Igel
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016
162016
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
122013
A CMA-ES with multiplicative covariance matrix updates
O Krause, T Glasmachers
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
112015
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning
S Shakibfar, O Krause, C Lund-Andersen, A Aranda, J Moll, TO Andersen, ...
Ep Europace 21 (2), 268-274, 2019
92019
Population-Contrastive-Divergence: Does consistency help with RBM training?
O Krause, A Fischer, C Igel
Pattern Recognition Letters 102, 1-7, 2018
72018
Sparse incomplete lu-decomposition for wave farm designs under realistic conditions
DR Arbonès, NY Sergiienko, B Ding, O Krause, C Igel, M Wagner
International Conference on Parallel Problem Solving from Nature, 512-524, 2018
52018
Qualitative and quantitative assessment of step size adaptation rules
O Krause, T Glasmachers, C Igel
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017
52017
Convolutional neural networks for segmentation and object detection of human semen
MS Nissen, O Krause, K Almstrup, S Kjærulff, TT Nielsen, M Nielsen
Scandinavian Conference on Image Analysis, 397-406, 2017
42017
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
S Shakibfar, O Krause, C Lund-Andersen, F Strycko, J Moll, ...
Plos one 14 (8), e0219533, 2019
22019
Multi-objective optimization with unbounded solution sets
O Krause, T Glasmachers, C Igel
Proceedings of neural information processing systems (NIPS) workshop on …, 2016
22016
The Hessian Estimation Evolution Strategy
T Glasmachers, O Krause
arXiv preprint arXiv:2003.13256, 2020
12020
Algorithms for estimating the partition function of restricted Boltzmann machines
O Krause, A Fischer, C Igel
Artificial Intelligence 278, 103195, 2020
12020
Convergence Analysis of the Hessian Estimation Evolution Strategy
T Glasmachers, O Krause
arXiv preprint arXiv:2009.02732, 2020
2020
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
S Czolbe, O Krause, I Cox, C Igel
arXiv preprint arXiv:2006.15057, 2020
2020
Unsupervised-Learning of time-varying features
H Høeg, M Brix, O Krause
2019
Large-scale noise-resilient evolution-strategies
O Krause
Proceedings of the Genetic and Evolutionary Computation Conference, 682-690, 2019
2019
Convolutional neural networks for segmentation and object detection of human semen
M Stær Nissen, O Krause, K Almstrup, S Kjærulff, T Trindkær Nielsen, ...
arXiv, arXiv: 1704.00498, 2017
2017
Population Monte Carlo Meets Contrastive Divergence Learning
O Krause, A Fischer, C Igel
Workshop New Challenges in Neural Computation 2015, 93, 2015
2015
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Articles 1–20