Follow
Werner Zellinger
Werner Zellinger
Johann Radon Institute for Computational and Applied Mathematics, Austrian Academy of Sciences
Verified email at ricam.oeaw.ac.at
Title
Cited by
Cited by
Year
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
3652017
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
532019
Domain-Invariant Partial Least Squares Regression
R Nikzad-Langerodi, W Zellinger, E Lughofer, S Saminger-Platz
Analytical chemistry, 6693-6701, 2018
432018
Mixture Density Generative Adversarial Networks
H Eghbal-zadeh, W Zellinger, G Widmer
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5820-5829, 2019
272019
Domain adaptation for regression under Beer–Lambert’s law
R Nikzad-Langerodi, W Zellinger, S Saminger-Platz, BA Moser
Knowledge-Based Systems, 106447, 2020
262020
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
182020
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
14*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
11*2021
Domain-invariant regression under beer-lambert's law
R Nikzad-Langerodi, W Zellinger, S Saminger-Platz, B Moser
IEEE International Conference on Machine Learning and Applications, 581-586, 2019
102019
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
102016
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
102015
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
62020
On the optimization of material usage in power transformer manufacturing
G Chasparis, W Zellinger, V Haunschmid, M Riedenbauer, R Stumptner
IEEE International Conference on Intelligent Systems (IS), 680-685, 2016
52016
On the truncated Hausdorff moment problem under Sobolev regularity conditions
W Zellinger, BA Moser
Applied Mathematics and Computation 400, 126057, 2021
32021
Moment-Based Domain Adaptation: Learning Bounds and Algorithms
W Zellinger
Doctoral Thesis (Johannes Kepler University Linz), 2020
32020
Moment distances for comparing high-entropy distributions with application in domain adaptation
W Zellinger, H Eghbal-zadeh, BA Moser, M Zwick, E Lughofer, ...
Book of Abstracts of The 23rd International Conference on Computational …, 2018
22018
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
12022
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
12020
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
2022
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 34, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20