Werner Zellinger

According to our database, Werner Zellinger authored at least 33 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rethinking data augmentation for adversarial robustness.

Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer

Inf. Sci., January, 2024

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization.

Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger

CoRR, 2024

SymbolicAI: A framework for logic-based approaches combining generative models and solvers.

Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter

CoRR, 2024

2023

Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning.

Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli

ACM Comput. Surv., 2023

On regularized Radon-Nikodym differentiation.

Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev

CoRR, 2023

Adaptive learning of density ratios in RKHS.

Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev

CoRR, 2023

General regularization in covariate shift adaptation.

Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger

CoRR, 2023

A rational conjugate gradient method for linear ill-conditioned problems.

Stefan Kindermann, Werner Zellinger

CoRR, 2023

Domain Generalization by Functional Regression.

Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger

CoRR, 2023

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation.

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

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Tessellation-Filtering ReLU Neural Networks.

Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground.

Ozan Cakiroglu, Volkmar Wieser, Werner Zellinger, Adriano Souza Ribeiro, Werner Kloihofer, Florian Kromp

Proceedings of the Database and Expert Systems Applications - DEXA 2022 Workshops, 2022

Few-Shot Learning by Dimensionality Reduction in Gradient Space.

Martin Gauch, Maximilian Beck, Thomas Adler, Dmytro Kotsur, Stefan Fiel, Hamid Eghbal-zadeh, Johannes Brandstetter, Johannes Kofler, Markus Holzleitner, Werner Zellinger, Daniel Klotz, Sepp Hochreiter, Sebastian Lehner

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

AI System Engineering - Key Challenges and Lessons Learned.

Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser

Mach. Learn. Knowl. Extr., 2021

On the truncated Hausdorff moment problem under Sobolev regularity conditions.

Werner Zellinger, Bernhard Alois Moser

Appl. Math. Comput., 2021

On generalization in moment-based domain adaptation.

Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz

Ann. Math. Artif. Intell., 2021

The balancing principle for parameter choice in distance-regularized domain adaptation.

Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Domain adaptation for regression under Beer-Lambert's law.

Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser

Knowl. Based Syst., 2020

Multi-source transfer learning of time series in cyclical manufacturing.

Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger-Platz

J. Intell. Manuf., 2020

On Data Augmentation and Adversarial Risk: An Empirical Analysis.

Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer

CoRR, 2020

ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy.

Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser

CoRR, 2020

Moment-Based Domain Adaptation: Learning Bounds and Algorithms.

Werner Zellinger

CoRR, 2020

Learning Bounds for Moment-Based Domain Adaptation.

Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz

CoRR, 2020

Beyond federated learning: On confidentiality-critical machine learning applications in industry.

Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Applying AI in Practice: Key Challenges and Lessons Learned.

Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser

Proceedings of the Machine Learning and Knowledge Extraction, 2020

2019

Robust unsupervised domain adaptation for neural networks via moment alignment.

Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz

Inf. Sci., 2019

Domain-Invariant Regression Under Beer-Lambert's Law.

Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Mixture Density Generative Adversarial Networks.

Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.

Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

On the optimization of material usage in power transformer manufacturing.

Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner

Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast.

Werner Zellinger, Bernhard Moser

Proceedings of the Image Quality and System Performance XIII, Electronic Imaging 2016, 2016

Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos.

Werner Zellinger, Bernhard Moser, Ayadi Chouikhi, Florian H. Seitner, Matej Nezveda, Margrit Gelautz

Proceedings of the Stereoscopic Displays and Applications XXVII, 2016

2015

Trifocal system for high-quality inter-camera mapping and virtual view synthesis.

Florian H. Seitner, Matej Nezveda, Margrit Gelautz, Georg Braun, Christian Kapeller, Werner Zellinger, Bernhard Moser

Proceedings of the 2015 International Conference on 3D Imaging, 2015