Matthias Rottmann
Title
Cited by
Cited by
Year
Adaptive aggregation-based domain decomposition multigrid for the lattice Wilson--Dirac operator
A Frommer, K Kahl, S Krieg, B Leder, M Rottmann
SIAM journal on scientific computing 36 (4), A1581-A1608, 2014
942014
Adaptive aggregation-based domain decomposition multigrid for twisted mass fermions
C Alexandrou, S Bacchio, J Finkenrath, A Frommer, K Kahl, M Rottmann
Physical Review D 94 (11), 114509, 2016
342016
Multigrid preconditioning for the overlap operator in lattice QCD
J Brannick, A Frommer, K Kahl, B Leder, M Rottmann, A Strebel
Numerische Mathematik 132 (3), 463-490, 2016
242016
Adaptive algebraic multigrid on SIMD architectures
S Heybrock, M Rottmann, P Georg, T Wettig
arXiv preprint arXiv:1512.04506, 2015
152015
Classification uncertainty of deep neural networks based on gradient information
P Oberdiek, M Rottmann, H Gottschalk
IAPR Workshop on Artificial Neural Networks in Pattern Recognition, 113-125, 2018
122018
Application of decision rules for handling class imbalance in semantic segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
arXiv preprint arXiv:1901.08394, 2019
102019
An adaptive aggregation based domain decomposition multilevel method for the lattice Wilson Dirac operator: multilevel results
A Frommer, K Kahl, S Krieg, B Leder, M Rottmann
arXiv preprint arXiv:1307.6101, 2013
92013
Prediction error meta classification in semantic segmentation: Detection via aggregated dispersion measures of softmax probabilities
M Rottmann, P Colling, TP Hack, R Chan, F Hüger, P Schlicht, ...
arXiv preprint arXiv:1811.00648, 2018
82018
Aggregation-based Multilevel Methods for Lattice QCD
A Frommer, K Kahl, S Krieg, B Leder, M Rottmann
arXiv preprint arXiv:1202.2462, 2012
82012
Deep bayesian active semi-supervised learning
M Rottmann, K Kahl, H Gottschalk
arXiv preprint arXiv:1803.01216, 2018
7*2018
Uncertainty measures and prediction quality rating for the semantic segmentation of nested multi resolution street scene images
M Rottmann, M Schubert
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
52019
Adaptive domain decomposition multigrid for lattice QCD
M Rottmann
Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften …, 2018
52018
The ethical dilemma when (not) setting up cost-based decision rules in semantic segmentation
R Chan, M Rottmann, R Dardashti, F Huger, P Schlicht, H Gottschalk
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
42019
DDalphaAMG for twisted mass fermions
S Bacchio, C Alexandrou, J Finkenrath, A Frommer, K Kahl, M Rottmann
arXiv preprint arXiv:1611.01034, 2016
42016
Time-dynamic estimates of the reliability of deep semantic segmentation networks
K Maag, M Rottmann, H Gottschalk
arXiv preprint arXiv:1911.05075, 2019
32019
Least angle regression coarsening in bootstrap algebraic multigrid
K Kahl, M Rottmann
SIAM Journal on Scientific Computing 40 (6), A3928-A3954, 2018
32018
A multigrid accelerated eigensolver for the Hermitian Wilson-Dirac operator in lattice QCD
A Frommer, K Kahl, F Knechtli, M Rottmann, A Strebel, I Zwaan
2020
Detection of false positive and false negative samples in semantic segmentation
M Rottmann, K Maag, R Chan, F Hüger, P Schlicht, H Gottschalk
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
2020
Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
P Oberdiek, M Rottmann, GA Fink
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2020
MetaFusion: Controlled False-Negative Reduction of Minority Classes in Semantic Segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
arXiv preprint arXiv:1912.07420, 2019
2019
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