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
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
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
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, B Moser, A Chouikhi, F Seitner, M Nezveda, M Gelautz
Stereoscopic Displays and Applications XXVII, IS&T Electronic Imaging, 2016
Trifocal system for high-quality inter-camera mapping and virtual view synthesis
F Seitner, M Nezveda, M Gelautz, G Braun, C Kapeller, W Zellinger, ...
International Conference on 3D Imaging (IC3D), 1-8, 2015
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 the truncated Hausdorff moment problem under Sobolev regularity conditions
W Zellinger, BA Moser
Applied Mathematics and Computation 400, 126057, 2021
Moment-Based Domain Adaptation: Learning Bounds and Algorithms
W Zellinger
Doctoral Thesis (Johannes Kepler University Linz), 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
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
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
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
Few-Shot Learning by Dimensionality Reduction in Gradient Space
M Gauch, M Beck, T Adler, D Kotsur, S Fiel, H Eghbal-zadeh, ...
Conference on Lifelong Learning Agents (CoLLAs), 2022
Tessellation-Filtering ReLU Neural Networks
BA Moser, M Lewandowski, S Kargaran, W Zellinger, B Biggio, ...
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Ensemble Learning for Domain Adaptation by Importance Weighted Least Squares
MC Dinu, M Holzleitner, M Beck, DH Nguyen, A Huber, H Eghbal-zadeh, ...
RICAM-Report, 2022
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