Matthias Rottmann
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Zitiert von
Jahr
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
1042014
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
392016
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
262016
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
21*2019
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
192018
Adaptive algebraic multigrid on SIMD architectures
S Heybrock, M Rottmann, P Georg, T Wettig
arXiv preprint arXiv:1512.04506, 2015
192015
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, ...
2020 International Joint Conference on Neural Networks (IJCNN), 1-9, 2020
182020
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/CVF Conference on Computer Vision and Pattern …, 2019
162019
Time-dynamic estimates of the reliability of deep semantic segmentation networks
K Maag, M Rottmann, H Gottschalk
2020 IEEE 32nd International Conference on Tools with Artificial …, 2020
132020
Deep bayesian active semi-supervised learning
M Rottmann, K Kahl, H Gottschalk
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
132018
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
112013
Aggregation-based Multilevel Methods for Lattice QCD
M Rottmann, A Frommer, K Kahl, S Krieg, B Leder
Proceedings of the XXIX International Symposium on Lattice Field Theory …, 2011
9*2011
Controlled false negative reduction of minority classes in semantic segmentation
R Chan, M Rottmann, F Hüger, P Schlicht, H Gottschalk
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
6*2020
Adaptive domain decomposition multigrid for lattice QCD
M Rottmann
Universität Wuppertal, Fakultät für Mathematik und Naturwissenschaften …, 2018
62018
(Approximate) Low-Mode Averaging with a new Multigrid Eigensolver
G Bali, S Collins, A Frommer, K Kahl, I Kanamori, B Müller, M Rottmann, ...
arXiv preprint arXiv:1509.06865, 2015
62015
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/CVF Conference on Computer Vision and Pattern …, 2019
52019
Least angle regression coarsening in bootstrap algebraic multigrid
K Kahl, M Rottmann
SIAM Journal on Scientific Computing 40 (6), A3928-A3954, 2018
42018
DDalphaAMG for twisted mass fermions
S Bacchio, C Alexandrou, J Finkenrath, A Frommer, K Kahl, M Rottmann
arXiv preprint arXiv:1611.01034, 2016
42016
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
22020
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation
R Chan, M Rottmann, H Gottschalk
arXiv preprint arXiv:2012.06575, 2020
12020
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