Oswin Krause

Research output

Research output per year 2013 2015 2016 2017 2018 2019 2020

• 9 Article in proceedings
• 4 Journal article
• 1 Ph.D. thesis
• 1 Report chapter
• 1 More
  • 1 Paper

Research output per year

Research output per year

Search results

• 2020

  Algorithms for estimating the partition function of restricted Boltzmann machines

  Krause, O., Fischer, A. & Igel, C., Jan 2020, In: Artificial Intelligence. 278, 103195.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Ludwig Boltzmann 100%
  • Importance sampling 94%
  • Sampling 63%
  • Tempering 54%
  • Acceptance 28%
  1 Citation (Scopus)
• 2019

  Impact of device programming on the success of the first anti-tachycardia pacing therapy: An anonymized large-scale study

  Shakibfar, S., Krause, O., Lund-Andersen, C., Strycko, F., Moll, J., Osman Andersen, T., Høgh Petersen, H., Hastrup Svendsen, J. & Igel, C., 1 Aug 2019, In: PLoS ONE. 14, 8, e0219533.

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Implantable cardioverter defibrillators 100%
  • Ventricular Tachycardia 88%
  • tachycardia 75%
  • Accelerated Idioventricular Rhythm 66%
  • Therapy 66%
  2 Citations (Scopus)

  16 Downloads (Pure)

• Large-scale noise-resilient evolution-strategies

  Krause, O., 13 Jul 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

  • Reinforcement learning 100%
  • Probability distributions 47%

• Predicting electrical storms by remote monitoring of implantable cardioverter-defibrillator patients using machine learning

  Shakibfar, S., Krause, O., Lund-Andersen, C., Aranda, A., Moll, J., Andersen, T. O., Svendsen, J. H., Petersen, H. H. & Igel, C., 1 Feb 2019, In: Europace. 21, 2, p. 268–274

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Implantable Defibrillators 100%
  • Machine Learning 98%
  • Forests 77%
  • Area Under Curve 35%
  • Medical Errors 27%
  6 Citations (Scopus)
• 2018

  Population-Contrastive-Divergence: Does consistency help with RBM training?

  Krause, O., Fischer, A. & Igel, C., 15 Jan 2018, In: Pattern Recognition Letters. 102, p. 1-7

  Research output: Contribution to journal › Journal article › Research › peer-review

  • Markov chains 100%
  • Monte Carlo methods 55%
  • Neurons 47%
  • Sampling 35%
  1 Citation (Scopus)

• Sparse incomplete LU-decomposition for wave farm designs under realistic conditions

  Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, O., Igel, C. & 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

  • wave energy 100%
  • farm 80%
  • decomposition 68%
  • caching 46%
  • wave spectrum 37%
  3 Citations (Scopus)
• 2017

  Convolutional neural networks for segmentation and object detection of human semen

  Nissen, M. S., Krause, O., Almstrup, K., Kjærulff, S., Nielsen, T. T. & Nielsen, M., 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

  • Object detection 100%
  • Convolutional neural networks 88%
  • Image analysis 46%
  • Network architecture 45%
  • Pixels 36%
  5 Citations (Scopus)

• Qualitative and quantitative assessment of step size adaptation rules

  Krause, O., Glasmachers, T. & Igel, C., 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

  • Invariance 100%
  5 Citations (Scopus)
• 2016

  CMA-ES with optimal covariance update and storage complexity

  Krause, O., Rodríguez Arbonès, D. & Igel, C., 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

  • Covariance matrix 100%
  • Function evaluation 12%
  • Gaussian distribution 12%
  • Monte Carlo methods 11%
  • Derivatives 8%
  18 Citations (Scopus)

• Multi-objective optimization with unbounded solution sets

  Krause, O., Glasmachers, T. & Igel, C., 2016. 6 p.

  Research output: Contribution to conference › Paper › Research › peer-review

• Unbounded population MO-CMA-ES for the bi-objective BBOB test suite

  Krause, O., Glasmachers, T., Hansen, N. & Igel, C., 20 Jul 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

  • Covariance matrix 100%
  13 Citations (Scopus)
• 2015

  A CMA-ES with multiplicative covariance matrix updates

  Krause, O. & Glasmachers, T., 11 Jul 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

  • Covariance matrix 100%
  • Parameterization 14%
  • Sampling 9%
  9 Citations (Scopus)

• A more efficient rank-one covariance matrix update for evolution strategies

  Krause, O. & Igel, C., 17 Jan 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

  • Covariance matrix 100%
  • Linear transformations 31%
  • Convergence of numerical methods 30%
  • Data storage equipment 29%
  • Gaussian distribution 27%
  11 Citations (Scopus)

• Distribution Learning in Evolutionary Strategies and Restricted Boltzmann Machines

  Krause, O., 2015, Department of Computer Science, Faculty of Science, University of Copenhagen. 121 p.

  Research output: Book/Report › Ph.D. thesis

• Population Monte Carlo meets contrastive divergence learning

  Krause, O., Fischer, A. & Igel, C., 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

  Approximation properties of DBNs with binary hidden units and real-valued visible units

  Krause, O., Fischer, A., Glasmachers, T. & Igel, C., 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

  • Belief Networks 100%
  • Approximation Property 61%
  • Binary 44%
  • Unit 41%
  • Exponential Family 21%
  7 Citations (Scopus)