Oswin Krause
Assistant Professor, Associate Professor
- 2024
- Published
Machine learning applied in patient-reported outcome research—exploring symptoms in adjuvant treatment of breast cancer
Pappot, Helle, Björnsson, B. P., Krause, Oswin, Bæksted, C., Bidstrup, Pernille Envold Hansen, Dalton, Susanne Oksbjerg, Johansen, Christoffer, Knoop, A., Vogelius, Ivan R. & Holländer-Mieritz, C., 2024, In: Breast Cancer. 31, p. 148–153 6 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 2023
- Published
Semantic similarity metrics for image registration
Czolbe, Steffen, Pegios, P., Krause, Oswin & Feragen, A., 2023, In: Medical Image Analysis. 87, 16 p., 102830.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
Autonomous Estimation of High-Dimensional Coulomb Diamonds from Sparse Measurements
Chatterjee, Anasua, Ansaloni, F., Rasmussen, Torbjørn Raasø, Brovang, Bertram Seck, Fedele, F., Bohuslavskyi, H., Krause, Oswin & Kuemmeth, Ferdinand, 14 Dec 2022, In: Physical Review Applied. 18, 6, 10 p., 064040.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Inferring properties of dust in supernovae with neural networks
Ansari, Z., Gall, Christa, Wesson, R. & Krause, Oswin, 25 Oct 2022, In: Astronomy & Astrophysics. 666, 24 p., A176.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays
Krause, Oswin, Brovang, Bertram Seck, Rasmussen, Torbjørn Raasø, Chatterjee, Anasua & Kuemmeth, Ferdinand, 27 Jul 2022, In: Electronics. 11, 15, 16 p., 2327.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, Jan 2022, arXiv.org, 29 p.Research output: Working paper › Preprint › Research
- 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
- Published
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
- Published
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
Lu, J., Yin, C., Krause, Oswin, Erleben, Kenny, Nielsen, Michael Bachmann & Darkner, Sune, 2022, Interpretability of Machine Intelligence in Medical Image Computing. Reyes, M., Abreu, PH. & Cardoso, J. (eds.). Springer, p. 33-43 (Lecture Notes in Computer Science, Vol. 13611).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › 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
- 2020
- 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
- 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
- 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
- 2018
- 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
- 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
- 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
- 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
- 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
- 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
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240
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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
downloads
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts
Research output: Working paper › Preprint › Research
Published