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Werner Zellinger
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2020 – today
- 2024
- [j9]Hamid Eghbal-zadeh
, Werner Zellinger
Rethinking data augmentation for adversarial robustness. Inf. Sci. 654: 119838 (2024) - [c15]Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger:
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. ICML 2024 - [i18]Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter:
SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR abs/2402.00854 (2024) - [i17]Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger:
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. CoRR abs/2402.13891 (2024) - [i16]Werner Zellinger:
Binary Losses for Density Ratio Estimation. CoRR abs/2407.01371 (2024) - 2023
- [j8]Antonio Emanuele Cinà
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. 55(13s): 294:1-294:39 (2023) - [j7]Werner Zellinger
Adaptive Learning of Density Ratios in RKHS. J. Mach. Learn. Res. 24: 395:1-395:28 (2023) - [c14]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger:
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 2023 - [i15]Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger:
Domain Generalization by Functional Regression. CoRR abs/2302.04724 (2023) - [i14]Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR abs/2305.01281 (2023) - [i13]Stefan Kindermann, Werner Zellinger:
A rational conjugate gradient method for linear ill-conditioned problems. CoRR abs/2306.03670 (2023) - [i12]Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger:
General regularization in covariate shift adaptation. CoRR abs/2307.11503 (2023) - [i11]Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
Adaptive learning of density ratios in RKHS. CoRR abs/2307.16164 (2023) - [i10]Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev
On regularized Radon-Nikodym differentiation. CoRR abs/2308.07887 (2023) - 2022
- [c13]Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 2022: 1043-1064 - [c12]Ozan Cakiroglu, Volkmar Wieser, Werner Zellinger
Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground. DEXA Workshops 2022: 44-54 - [c11]Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan
Tessellation-Filtering ReLU Neural Networks. IJCAI 2022: 3335-3341 - [i9]Antonio Emanuele Cinà
Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR abs/2205.01992 (2022) - [i8]Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger
Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR abs/2206.03483 (2022) - 2021
- [j6]Werner Zellinger
On generalization in moment-based domain adaptation. Ann. Math. Artif. Intell. 89(3-4): 333-369 (2021) - [j5]Werner Zellinger
On the truncated Hausdorff moment problem under Sobolev regularity conditions. Appl. Math. Comput. 400: 126057 (2021) - [j4]Lukas Fischer
AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. 3(1): 56-83 (2021) - [c10]Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser:
The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS 2021: 20798-20811 - 2020
- [j3]Werner Zellinger
Multi-source transfer learning of time series in cyclical manufacturing. J. Intell. Manuf. 31(3): 777-787 (2020) - [j2]Ramin Nikzad-Langerodi
Domain adaptation for regression under Beer-Lambert's law. Knowl. Based Syst. 210: 106447 (2020) - [c9]Lukas Fischer
Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE 2020: 451-471 - [c8]Werner Zellinger
Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM 2020: 734-743 - [i7]Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz:
Learning Bounds for Moment-Based Domain Adaptation. CoRR abs/2002.08260 (2020) - [i6]Werner Zellinger:
Moment-Based Domain Adaptation: Learning Bounds and Algorithms. CoRR abs/2004.10618 (2020) - [i5]Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser:
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy. CoRR abs/2005.09903 (2020) - [i4]Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer:
On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR abs/2007.02650 (2020)
2010 – 2019
- 2019
- [j1]Werner Zellinger
Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. 483: 174-191 (2019) - [c7]Hamid Eghbal-zadeh, Werner Zellinger
Mixture Density Generative Adversarial Networks. CVPR 2019: 5820-5829 - [c6]Ramin Nikzad-Langerodi
Domain-Invariant Regression Under Beer-Lambert's Law. ICMLA 2019: 581-586 - 2018
- [i3]Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer:
Mixture Density Generative Adversarial Networks. CoRR abs/1811.00152 (2018) - 2017
- [c5]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. ICLR (Poster) 2017 - [i2]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR abs/1702.08811 (2017) - [i1]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR abs/1711.06114 (2017) - 2016
- [c4]Werner Zellinger
Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. SD&A 2016: 1-6 - [c3]Werner Zellinger, Bernhard Moser
Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. IQSP 2016: 1-8 - [c2]Georgios C. Chasparis
On the optimization of material usage in power transformer manufacturing. IEEE Conf. on Intelligent Systems 2016: 680-685 - 2015
- [c1]Florian H. Seitner, Matej Nezveda, Margrit Gelautz
Trifocal system for high-quality inter-camera mapping and virtual view synthesis. IC3D 2015: 1-8
Coauthor Index
aka: Bernhard Alois Moser
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