Werner Zellinger
Cited by
Cited by
Central moment discrepancy (CMD) for domain-invariant representation learning
W Zellinger, T Grubinger, E Lughofer, T Natschläger, S Saminger-Platz
International Conference on Learning Representations (ICLR), 2017
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment
W Zellinger, BA Moser, T Grubinger, E Lughofer, T Natschläger, ...
Information Sciences 483, 174-191, 2019
Domain-Invariant Partial Least Squares Regression
R Nikzad-Langerodi, W Zellinger, E Lughofer, S Saminger-Platz
Analytical chemistry, 6693-6701, 2018
Domain adaptation for regression under Beer–Lambert’s law
R Nikzad-Langerodi, W Zellinger, S Saminger-Platz, BA Moser
Knowledge-Based Systems, 106447, 2020
Mixture Density Generative Adversarial Networks
H Eghbal-zadeh, W Zellinger, G Widmer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5820-5829, 2019
Ai system engineering—key challenges and lessons learned
L Fischer, L Ehrlinger, V Geist, R Ramler, F Sobiezky, W Zellinger, ...
Machine Learning and Knowledge Extraction 3 (1), 56-83, 2020
Multi-source transfer learning of time series in cyclical manufacturing
W Zellinger, T Grubinger, M Zwick, E Lughofer, H Schöner, T Natschläger, ...
Journal of Intelligent Manufacturing 31, 777-787, 2020
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning
AE Cinà, K Grosse, A Demontis, S Vascon, W Zellinger, BA Moser, ...
arXiv preprint arXiv:2205.01992, 2022
Beyond federated learning: On confidentiality-critical machine learning applications in industry
W Zellinger, V Wieser, M Kumar, D Brunner, N Shepeleva, R Gálvez, ...
Procedia Computer Science 180, 734-743, 2021
On generalization in moment-based domain adaptation
W Zellinger, BA Moser, S Saminger-Platz
Annals of Mathematics and Artificial Intelligence 89, 333-369, 2021
Linear optimization approach for depth range adaption of stereoscopic videos
W Zellinger, BA Moser, A Chouikhi, F Seitner, M Nezveda, M Gelautz
Stereoscopic Displays and Applications XXVII 2016 (5), 1-6, 2016
On Data Augmentation and Adversarial Risk: An Empirical Analysis
H Eghbal-zadeh, K Koutini, P Primus, V Haunschmid, M Lewandowski, ...
ICLR Workshop Towards Trustworthy Machine Learning, 2020
On a regularization of unsupervised domain adaptation in RKHS
ER Gizewski, L Mayer, BA Moser, DH Nguyen, S Pereverzyev Jr, ...
Applied and Computational Harmonic Analysis 57, 201-227, 2022
On the optimization of material usage in power transformer manufacturing
G Chasparis, W Zellinger, V Haunschmid, M Riedenbauer, R Stumptner
2016 IEEE 8th International Conference on Intelligent Systems (IS), 680-685, 2016
Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast.
W Zellinger, B Moser
Image Quality and System Performance VIII, 1-8, 2016
On the truncated Hausdorff moment problem under Sobolev regularity conditions
W Zellinger, BA Moser
Applied Mathematics and Computation 400, 126057, 2021
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy
N Shepeleva, W Zellinger, M Lewandowski, B Moser
ICLR Workshop on Neural Architecture Search, 2020
Moment-Based Domain Adaptation: Learning Bounds and Algorithms
W Zellinger
Doctoral Thesis (Johannes Kepler University Linz), 2020
The balancing principle for parameter choice in distance-regularized domain adaptation
W Zellinger, N Shepeleva, MC Dinu, H Eghbal-zadeh, H Nguyen, ...
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
Moment distances for comparing high-entropy distributions with application in domain adaptation
W Zellinger, H Eghbal-zadeh, BA Moser, M Zwick, E Lughofer, ...
23rd International Conference on Computational Statistics, 37, 2018
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