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ORCIDOswin Krause
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- affiliation: University of Copenhagen, Denmark
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2020 – today
- 2023
[j4]Steffen Czolbe
, Paraskevas Pegios, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for image registration. Medical Image Anal. 87: 102830 (2023)- 2022
- [j3]Tobias Glasmachers, Oswin Krause:
Convergence Analysis of the Hessian Estimation Evolution Strategy. Evol. Comput. 30(1): 27-50 (2022) - [c18]Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis. iMIMIC@MICCAI 2022: 33-43 - [c17]Oswin Krause:
Recombination Weight Based Selection in the DTS-CMA-ES. PPSN (2) 2022: 295-308 - [i14]Oswin Krause, Anasua Chatterjee, Ferdinand Kuemmeth, Evert P. L. van Nieuwenburg:
Learning Coulomb Diamonds in Large Quantum Dot Arrays. CoRR abs/2205.01443 (2022) - [i13]Jiahao Lu, Chong Yin, Oswin Krause, Kenny Erleben, Michael Bachmann Nielsen, Sune Darkner:
Reducing Annotation Need in Self-Explanatory Models for Lung Nodule Diagnosis. CoRR abs/2206.13608 (2022) - 2021
- [c16]Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen:
Is Segmentation Uncertainty Useful? IPMI 2021: 715-726 - [c15]Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. MIDL 2021: 105-118 - [c14]Steffen Czolbe, Aasa Feragen, Oswin Krause:
Spot the Difference: Detection of Topological Changes via Geometric Alignment. NeurIPS 2021: 14383-14395 - [i12]Svetlana Kutuzova, Oswin Krause, Douglas McCloskey, Mads Nielsen, Christian Igel:
Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts. CoRR abs/2101.07240 (2021) - [i11]Steffen Czolbe, Kasra Arnavaz, Oswin Krause, Aasa Feragen:
Is segmentation uncertainty useful? CoRR abs/2103.16265 (2021) - [i10]Steffen Czolbe, Oswin Krause, Aasa Feragen:
Semantic similarity metrics for learned image registration. CoRR abs/2104.10051 (2021) - [i9]Kasra Arnavaz, Oswin Krause, Jelena M. Krivokapic, Silja Heilmann, Jakob Andreas Bærentzen, Pia Nyeng, Aasa Feragen:
Semi-supervised, Topology-Aware Segmentation of Tubular Structures from Live Imaging 3D Microscopy. CoRR abs/2105.09737 (2021) - [i8]Steffen Czolbe, Aasa Feragen, Oswin Krause:
Spot the Difference: Topological Anomaly Detection via Geometric Alignment. CoRR abs/2106.08233 (2021) - [i7]Oswin Krause, Torbjørn Rasmussen, Bertram Brovang, Anasua Chatterjee, Ferdinand Kuemmeth:
Estimation of Convex Polytopes for Automatic Discovery of Charge State Transitions in Quantum Dot Arrays. CoRR abs/2108.09133 (2021) - 2020
- [j2]Oswin Krause, Asja Fischer, Christian Igel:
Algorithms for estimating the partition function of restricted Boltzmann machines. Artif. Intell. 278 (2020) - [c13]Kasra Arnavaz, Aasa Feragen, Oswin Krause, Marco Loog:
Bayesian Active Learning for Maximal Information Gain on Model Parameters. ICPR 2020: 10524-10531 - [c12]Oswin Krause, Asja Fischer, Christian Igel:
Algorithms for Estimating the Partition Function of Restricted Boltzmann Machines (Extended Abstract). IJCAI 2020: 5045-5049 - [c11]Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel:
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. NeurIPS 2020 - [c10]Tobias Glasmachers, Oswin Krause:
The Hessian Estimation Evolution Strategy. PPSN (1) 2020: 597-609 - [i6]Tobias Glasmachers, Oswin Krause:
The Hessian Estimation Evolution Strategy. CoRR abs/2003.13256 (2020) - [i5]Steffen Czolbe, Oswin Krause, Ingemar J. Cox, Christian Igel:
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model. CoRR abs/2006.15057 (2020) - [i4]Tobias Glasmachers, Oswin Krause:
Convergence Analysis of the Hessian Estimation Evolution Strategy. CoRR abs/2009.02732 (2020) - [i3]Steffen Czolbe, Oswin Krause, Aasa Feragen:
DeepSim: Semantic similarity metrics for learned image registration. CoRR abs/2011.05735 (2020)
2010 – 2019
- 2019
- [c9]Oswin Krause:
Large-scale noise-resilient evolution-strategies. GECCO 2019: 682-690 - 2018
- [j1]Oswin Krause, Asja Fischer, Christian Igel:
Population-Contrastive-Divergence: Does consistency help with RBM training? Pattern Recognit. Lett. 102: 1-7 (2018) - [c8]Dídac Rodríguez Arbonès, Nataliia Y. Sergiienko, Boyin Ding, Oswin Krause, Christian Igel, Markus Wagner:
Sparse Incomplete LU-Decomposition for Wave Farm Designs Under Realistic Conditions. PPSN (1) 2018: 512-524 - 2017
- [c7]Oswin Krause, Tobias Glasmachers, Christian Igel:
Qualitative and Quantitative Assessment of Step Size Adaptation Rules. FOGA 2017: 139-148 - [c6]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional Neural Networks for Segmentation and Object Detection of Human Semen. SCIA (1) 2017: 397-406 - [i2]Malte Stær Nissen, Oswin Krause, Kristian Almstrup, Søren Kjærulff, Torben Trindkær Nielsen, Mads Nielsen:
Convolutional neural networks for segmentation and object detection of human semen. CoRR abs/1704.00498 (2017) - 2016
- [c5]Oswin Krause, Tobias Glasmachers, Nikolaus Hansen, Christian Igel:
Unbounded Population MO-CMA-ES for the Bi-Objective BBOB Test Suite. GECCO (Companion) 2016: 1177-1184 - [c4]Oswin Krause, Dídac Rodríguez Arbonès, Christian Igel:
CMA-ES with Optimal Covariance Update and Storage Complexity. NIPS 2016: 370-378 - 2015
- [c3]Oswin Krause, Christian Igel:
A More Efficient Rank-one Covariance Matrix Update for Evolution Strategies. FOGA 2015: 129-136 - [c2]Oswin Krause, Tobias Glasmachers:
A CMA-ES with Multiplicative Covariance Matrix Updates. GECCO 2015: 281-288 - [i1]Oswin Krause, Asja Fischer, Christian Igel:
Population-Contrastive-Divergence: Does Consistency help with RBM training? CoRR abs/1510.01624 (2015) - 2013
- [c1]Oswin Krause, Asja Fischer, Tobias Glasmachers, Christian Igel:
Approximation properties of DBNs with binary hidden units and real-valued visible units. ICML (1) 2013: 419-426
Coauthor Index
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