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 001 (IC3D, 2015)

Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. - Werner Zellinger; Bernhard Moser 001; Ayadi Chouikhi; Florian H. Seitner; Matej Nezveda; Margrit Gelautz (SD&A, 2016)

Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. - Werner Zellinger; Bernhard Moser 001 (IQSP, 2016)

On the optimization of material usage in power transformer manufacturing. - Georgios C. Chasparis; Werner Zellinger; Verena Haunschmid; Markus Riedenbauer; Reinhard Stumptner (IEEE Conf. on Intelligent Systems, 2016)

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. - Werner Zellinger; Thomas Grubinger; Edwin Lughofer; Thomas Natschläger; Susanne Saminger-Platz (ICLR (Poster), 2017)

Mixture Density Generative Adversarial Networks. - Hamid Eghbal-zadeh; Werner Zellinger; Gerhard Widmer (CVPR, 2019)

Domain-Invariant Regression Under Beer-Lambert's Law. - Ramin Nikzad-Langerodi; Werner Zellinger; Susanne Saminger-Platz; Bernhard Moser 001 (ICMLA, 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)

Applying AI in Practice: Key Challenges and Lessons Learned. - Lukas Fischer 001; Lisa Ehrlinger; Verena Geist; Rudolf Ramler; Florian Sobieczky; Werner Zellinger; Bernhard Moser 001 (CD-MAKE, 2020)

Beyond federated learning: On confidentiality-critical machine learning applications in industry. - Werner Zellinger; Volkmar Wieser; Mohit Kumar 001; David Brunner; Natalia Shepeleva; Rafa Gálvez; Josef Langer; Lukas Fischer 001; Bernhard Moser 001 (ISM, 2020)

Learning Bounds for Moment-Based Domain Adaptation. - Werner Zellinger; Bernhard Alois Moser; Susanne Saminger-Platz (CoRR, 2020)

Moment-Based Domain Adaptation: Learning Bounds and Algorithms. - Werner Zellinger (CoRR, 2020)

ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy. - Natalia Shepeleva; Werner Zellinger; Michal Lewandowski; Bernhard Moser 001 (CoRR, 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)

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)

Domain adaptation for regression under Beer-Lambert's law. - Ramin Nikzad-Langerodi; Werner Zellinger; Susanne Saminger-Platz; Bernhard Alois Moser (Knowl. Based Syst., 2020)

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 (NeurIPS, 2021)

On generalization in moment-based domain adaptation. - Werner Zellinger; Bernhard Alois Moser; Susanne Saminger-Platz (Ann. Math. Artif. Intell., 2021)

On the truncated Hausdorff moment problem under Sobolev regularity conditions. - Werner Zellinger; Bernhard Alois Moser (Appl. Math. Comput., 2021)

AI System Engineering - Key Challenges and Lessons Learned. - Lukas Fischer 001; Lisa Ehrlinger; Verena Geist; Rudolf Ramler; Florian Sobieczky; Werner Zellinger; David Brunner; Mohit Kumar 001; Bernhard Moser 001 (Mach. Learn. Knowl. Extr., 2021)

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; et al. (CoLLAs, 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 (DEXA Workshops, 2022)

Tessellation-Filtering ReLU Neural Networks. - Bernhard Alois Moser; Michal Lewandowski; Somayeh Kargaran; Werner Zellinger; Battista Biggio; Christoph Koutschan (IJCAI, 2022)

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 (ICLR, 2023)

Domain Generalization by Functional Regression. - Markus Holzleitner; Sergei V. Pereverzyev; Werner Zellinger (CoRR, 2023)

A rational conjugate gradient method for linear ill-conditioned problems. - Stefan Kindermann 001; Werner Zellinger (CoRR, 2023)

General regularization in covariate shift adaptation. - Hoan Duc Nguyen; Sergei V. Pereverzyev; Werner Zellinger (CoRR, 2023)

On regularized Radon-Nikodym differentiation. - Duc Hoan Nguyen; Werner Zellinger; Sergei V. Pereverzyev (CoRR, 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)

Adaptive Learning of Density Ratios in RKHS. - Werner Zellinger; Stefan Kindermann 001; Sergei V. Pereverzyev (J. Mach. Learn. Res., 2023)

SymbolicAI: A framework for logic-based approaches combining generative models and solvers. - Marius-Constantin Dinu; Claudiu Leoveanu-Condrei; Markus Holzleitner; Werner Zellinger; Sepp Hochreiter (CoLLAs, 2024)

Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. - Lukas Gruber; Markus Holzleitner; Johannes Lehner; Sepp Hochreiter; Werner Zellinger (ICML, 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., 2024)

Binary Losses for Density Ratio Estimation. - Werner Zellinger (ICLR, 2025)

SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts. - Paul Setinek; Gianluca Galletti; Thomas Gross; Dominik Schnürer; Johannes Brandstetter; Werner Zellinger (CoRR, 2025)