Oswin Krause
Assistant Professor, Associate Professor
- 2013
- Published
Approximation properties of DBNs with binary hidden units and real-valued visible units
Krause, Oswin, Fischer, A., Glasmachers, T. & Igel, Christian, 2013, Proceedings of the 30th International Conference on Machine Learning. Dasgupta, S. & McAllester, D. (eds.). p. 419-426 8 p. (JMLR: Workshop and Conference Proceedings, Vol. 28).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2015
- Published
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
- Published
A more efficient rank-one covariance matrix update for evolution strategies
Krause, Oswin & Igel, Christian, 2015, Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII. Association for Computing Machinery, p. 129-136 8 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
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
- 2016
- Published
CMA-ES with optimal covariance update and storage complexity
Krause, Oswin, Rodríguez Arbonès, D. & Igel, Christian, 2016, Advances in Neural Information Processing Systems 29 (NIPS 2016). Lee, D. D., Sugiyama, M., Luxburg, U. V., Guyon, I. & Garnett, R. (eds.). Curran Associates, Inc., p. 370-378 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- Published
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
- 2017
- Published
Convolutional neural networks for segmentation and object detection of human semen
Nissen, M. S., Krause, Oswin, Almstrup, Kristian, Kjærulff, S., Nielsen, T. T. & Nielsen, Mads, 2017, Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12–14, 2017, Proceedings, Part I. Sharma, P. & Bianchi, F. M. (eds.). Springer, Vol. Part 1. p. 397-406 10 p. (Lecture notes in computer science, Vol. 10269).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- 2018
- Published
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
- Published
Sparse incomplete LU-decomposition for wave farm designs under realistic conditions
Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, p. 512-524 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11101 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2019
- Published
Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study
Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, Casper, Strycko, F., Moll, J., Andersen, Tariq Osman, Høgh Petersen, H., Svendsen, Jesper Hastrup & Igel, Christian, 2019, In: PLoS ONE. 14, 8, e0219533.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Large-scale noise-resilient evolution-strategies
Krause, Oswin, 2019, GECCO 2019 - Proceedings of the 2019 Genetic and Evolutionary Computation Conference. Association for Computing Machinery, p. 682-690 9 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning
Shakibfar, Saeed, Krause, Oswin, Lund-Andersen, C., Aranda, A., Moll, J., Andersen, Tariq Osman, Svendsen, Jesper Hastrup, Petersen, H. H. & Igel, Christian, 2019, In: Europace. 21, 2, p. 268–274Research output: Contribution to journal › Journal article › Research › peer-review
- 2020
- Published
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Czolbe, Steffen, Krause, Oswin, Cox, Ingemar Johansson & Igel, Christian, 2020, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtua. NeurIPS Proceedings, (Advances in Neural Information Processing Systems, Vol. 33).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Algorithms for estimating the partition function of restricted Boltzmann machines: (Extended Abstract)
Krause, Oswin, Fischer, A. & Igel, Christian, 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 5045-5049 5 p. (IJCAI International Joint Conference on Artificial Intelligence, Vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
- Published
Bayesian active learning for maximal information gain on model parameters
Arnavaz, Kasra, Feragen, A., Krause, Oswin & Loog, M., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. IEEE, p. 10524-10531 8 p. 9411962Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
The hessian estimation evolution strategy
Glasmachers, T. & Krause, Oswin, 2020, Parallel Problem Solving from Nature – PPSN XVI - 16th International Conference, PPSN 2020, Proceedings. Bäck, T., Preuss, M., Deutz, A., Emmerich, M., Wang, H., Doerr, C. & Trautmann, H. (eds.). Springer, p. 597-609 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12269 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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
- 2021
- Published
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Is Segmentation Uncertainty Useful?
Czolbe, Steffen, Arnavaz, Kasra, Krause, Oswin & Feragen, A., 2021, Information Processing in Medical Imaging - 27th International Conference, IPMI 2021, Proceedings. Feragen, A., Sommer, S., Schnabel, J. & Nielsen, M. (eds.). Springer, p. 715-726 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12729 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- 2022
- Published
Convergence Analysis of the Hessian Estimation Evolution Strategy
Glasmachers, T. & Krause, Oswin, 2022, In: Evolutionary Computation. 30, 1, p. 27-50 24 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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
- Published
Quantifying Topology In Pancreatic Tubular Networks From Live Imaging 3D Microscopy
Arnavaz, Kasra, Krause, Oswin, Zepf, K., Bærentzen, J. A., Miskovic Krivokapic, Jelena, Heilmann, Silja, Nyeng, P. & Feragen, A., 2022, In: The Journal of Machine Learning for Biomedical Imaging. 2022, p. 1-24 015.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 40813873
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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
Published -
145
downloads
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
Published -
71
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Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Research output: Working paper › Preprint › Research
Published