Kai Krajsek's publications
Contribution to a conference proceedings
Equivariant Representation Learning for Augmentation-based Self-Supervised Learning via Image Reconstruction
The Thirty-Eighth Annual Conference on Neural Information Processing Systems Workshop: Self-Supervised Learning - Theory and Practice, VancouverVancouver, Canada, 10 Dec 2024 - 15 Dec 2024
12 pp. (2024) [10.34734/FZJ-2025-00547]
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Contribution to a conference proceedings/Contribution to a book
JUWELS Booster – A Supercomputer for Large-Scale AI Research
High Performance Computing / Jagode, Heike (Editor)
ISC High Performance 2021, ISC21, DigitalDigital, Germany, 24 Jun 2021 - 2 Jul 2021
Lecture Notes in Computer Science 12761, 453 - 468 (2021) [10.1007/978-3-030-90539-2_31]
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Contribution to a conference proceedings/Contribution to a book
HeAT – a Distributed and GPU-accelerated Tensor Framework for Data Analytics
2020 IEEE International Conference on Big Data (Big Data), AtlantaAtlanta, GA, 10 Dec 2020 - 13 Dec 2020
IEEE 276-287 (2020) [10.1109/BigData50022.2020.9378050]
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Contribution to a conference proceedings/Contribution to a book
Ensemble Kalman Filter Optimizing Deep Neural Networks: An Alternative Approach to Non-performing Gradient Descent
Machine Learning, Optimization, and Data Science
The Sixth International Conference on Machine Learning, Optimization, and Data Science, LOD2020, SienaSiena, Italy, 19 Jul 2020 - 22 Jul 2020
Cham : Springer, Lecture Notes in Computer Science 12566, : 5th ed., 78-92 (2020) [10.1007/978-3-030-64580-9_7]
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Journal Article
Das Helmholtz Analytics Toolkit (HeAT) - Eine High Performance Computing (HPC) Programmbibliothek für wissenschaftliche Big Data Analytik / The Helmholtz Analytics Toolkit (HeAT) - A High Performance Computing (HPC) Library for Scientific Big Data Analytics
Jülich : Bernstein Koordinationsstelle (BCOS) -, 32-33 (2019) special issue: "Bernstein Feature 2019"
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Contribution to a conference proceedings/Contribution to a book
The Helmholtz Analytics Toolkit (HeAT) - A Scientific Big Data Library for HPC -
Proceedings
Extreme Data Workshop 2018, JülichJülich, Germany, 18 Sep 2018 - 19 Sep 2018
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek, IAS Series 40, 57-60 (2019)
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Journal Article
Multi-model ensemble simulations of olive pollen distribution in Europe in 2014: current status and outlook
Atmospheric chemistry and physics 17(20), 12341 - 12360 (2017) [10.5194/acp-17-12341-2017]
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Multi-model ensemble simulations of olive pollen distribution in Europe in 2014
Atmospheric chemistry and physics / Discussions , 1 - 32 (2017) [10.5194/acp-2016-1189]
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Journal Article
A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images
International journal of computer vision 120(3), 272–299 (2016) [10.1007/s11263-016-0909-2]
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Journal Article
A regional air quality forecasting system over Europe: the MACC-II daily ensemble production
Geoscientific model development 8(9), 2777 - 2813 (2015) [10.5194/gmd-8-2777-2015]
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Contribution to a conference proceedings/Contribution to a book
Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance
Proceedings of the 9th International Conference on Computer Vision Theory and Applications - SCITEPRESS - Science and and Technology Publications, 2014. - ISBN 978-989-758-003-1978-989-758-004-8978-989-758-009-3 - doi:10.5220/0004667402700279
International Conference on Computer Vision Theory and Applications, LisbonLisbon, Portugal, 5 Jan 2014 - 8 Jan 2014
SCITEPRESS - Science and and Technology Publications 270-279 (2014) [10.5220/0004667402700279]
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Contribution to a conference proceedings/Contribution to a book
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion
Proceedings of the 9th International Conference on Computer Vision Theory and Applications - SCITEPRESS - Science and and Technology Publications, 2014. - ISBN 978-989-758-003-1978-989-758-004-8978-989-758-009-3 - doi:10.5220/0004667500480055
International Conference on Computer Vision Theory and Applications, LisbonLisbon, Portugal, 5 Jan 2014 - 8 Jan 2014
SCITEPRESS - Science and and Technology Publications 84-55 (2014) [10.5220/0004667500480055]
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A Riemannian approach for estimating orientation distribution function (odf) images from high-angular resolution diffusion imaging (hardi)
IEEE International Conference on Computer Vision and Pattern Recognition, Providence, Rhode Island, USA,(2012), 1 - 8
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An Estimation Theoretical View on Ambrosio-Tortorelli Image Segmentation
83rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Abstract Book, TU Darmstadt, 2012. - S21.1,359 - 360
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Contribution to a conference proceedings/Contribution to a book
A Short Introduction to Diffusion-Like Methods
Mathematical Methods for Signal and Image Analysis and Representation, Computational Imaging and Vision, L. Florack et al. (eds.), London, Springer Verlag, 2012, 41. - 978-1-4471-2352-1. - chapter 1, 1 - 30
[10.1007/978-1-4471-2353-8_1]
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Contribution to a conference proceedings/Contribution to a book
Bayesian inference in kernel feature space
Bayesian Inference and Maximum Entropy Methods in Science and Engineering, AIP Publishing, 2012, Waterloo, Ontario, Canada, 1443, 978-0-7354-1039-8, 174 - 181
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Contribution to a conference proceedings/Contribution to a book
An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation
Lecture Notes in Computer Science, DAGM 2011, / ed. R. Mester, M. Felsberg Berlin, Heidelberg, Springer, 2011. - 6835. S. 41 - 50
[10.1007/978-3-642-23123-0_5]
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Contribution to a conference proceedings
Diffusion filtering without parameter tuning: Models and inference tools
2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR, San FranciscoSan Francisco, CA, 13 Jun 2010 - 18 Jun 2010
Silver Spring, Md. : Computer Soc. Pr. (2010) [10.1109/CVPR.2010.5539959]
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Contribution to a conference proceedings/Contribution to a book
Riemannian Bayesian Estimation of Diffusion Tensor Images
IIEEE 12th IEEE International Conference on Computer Vision (ICCV), Kyoto, 2009. - 978-1-4244-4419-9. - S. 2327 - 2334
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Statistically optimal averaging for image restoration and optical flow estimation
Pattern Recognition : 30th DAGM Symposium Munich, Germany, June 10-13, 2008 ; proceedings / ed.: G. Rigoll. - Berlin, Springer, 2008. - (Lecture Notes in Computer Science ; 5096). - S. 466 - 475
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Journal Article
Building blocks for computer vision with stochastic partial differential equations
International journal of computer vision 80, 375 - 405 (2008) [10.1007/s11263-008-0145-5]
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Contribution to a conference proceedings/Contribution to a book
Riemannian anisotropic difussion for tensor valued images
European Conference On Computer Vision (ECCV 2008). - Berlin, Springer, 2008.. - (Lecture Notes in Computer Science ; 5302). - 978-3-540-88681-5. - S. 326 - 339
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