Werner Zellinger

50 papers A* 6C 3Journal 33Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AP-OOD: Attention Pooling for Out-of-Distribution Detection. CoRR Claus Hofmann, Christian Huber, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter, Werner Zellinger
2026	J	`jnl`	Stabilizing Test-Time Adaptation of High-Dimensional Simulation Surrogates via D-Optimal Statistics. CoRR Anna Zimmel, Paul Setinek, Gianluca Galletti, Johannes Brandstetter, Werner Zellinger
2026	J	`jnl`	The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization. CoRR Stephanie Holly, Alexandru-Ciprian Zavoianu, Siegfried Silber, Sepp Hochreiter, Werner Zellinger
2025	A*	`conf`	Binary Losses for Density Ratio Estimation. ICLR Werner Zellinger
2025	J	`jnl`	SIMSHIFT: A Benchmark for Adapting Neural Surrogates to Distribution Shifts. CoRR Paul Setinek, Gianluca Galletti, Thomas Gross, Dominik Schnürer, Johannes Brandstetter, Werner Zellinger
2025	J	`jnl`	Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned. CoRR Kajetan Schweighofer, Barbara Brune, Lukas Gruber, Simon Schmid, Alexander Aufreiter, Andreas Gruber, Thomas Doms, Sebastian Eder, Florian Mayer, Xaver-Paul Stadlbauer, Christoph Schwald, Werner Zellinger, Bernhard Nessler, Sepp Hochreiter
2024	J	`jnl`	Binary Losses for Density Ratio Estimation. CoRR Werner Zellinger
2024	J	`jnl`	On Regularized Radon-Nikodym Differentiation. J. Mach. Learn. Res. Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev
2024	A*	`conf`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. ICML Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	J	`jnl`	Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. CoRR Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger
2024	J	`jnl`	Rethinking data augmentation for adversarial robustness. Inf. Sci. Hamid Eghbal-zadeh, Werner Zellinger, Maura Pintor, Kathrin Grosse, Khaled Koutini, Bernhard Alois Moser, Battista Biggio, Gerhard Widmer
2024	—	`conf`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoLLAs Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2023	J	`jnl`	A rational conjugate gradient method for linear ill-conditioned problems. CoRR Stefan Kindermann, Werner Zellinger
2023	J	`jnl`	Adaptive Learning of Density Ratios in RKHS. J. Mach. Learn. Res. Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
2023	J	`jnl`	Adaptive learning of density ratios in RKHS. CoRR Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
2023	A*	`conf`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 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
2023	J	`jnl`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR 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
2023	J	`jnl`	Domain Generalization by Functional Regression. CoRR Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger
2023	J	`jnl`	General regularization in covariate shift adaptation. CoRR Hoan Duc Nguyen, Sergei V. Pereverzyev, Werner Zellinger
2023	J	`jnl`	On regularized Radon-Nikodym differentiation. CoRR Duc Hoan Nguyen, Werner Zellinger, Sergei V. Pereverzyev
2023	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. ACM Comput. Surv. Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2022	—	`conf`	Detection of the 3D Ground Plane from 2D Images for Distance Measurement to the Ground. DEXA Workshops Ozan Cakiroglu, Volkmar Wieser, Werner Zellinger, Adriano Souza Ribeiro, Werner Kloihofer, Florian Kromp
2022	—	`conf`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoLLAs 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
2022	J	`jnl`	Few-Shot Learning by Dimensionality Reduction in Gradient Space. CoRR 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
2022	A*	`conf`	Tessellation-Filtering ReLU Neural Networks. IJCAI Bernhard Alois Moser, Michal Lewandowski, Somayeh Kargaran, Werner Zellinger, Battista Biggio, Christoph Koutschan
2022	J	`jnl`	Wild Patterns Reloaded: A Survey of Machine Learning Security against Training Data Poisoning. CoRR Antonio Emanuele Cinà, Kathrin Grosse, Ambra Demontis, Sebastiano Vascon, Werner Zellinger, Bernhard Alois Moser, Alina Oprea, Battista Biggio, Marcello Pelillo, Fabio Roli
2021	J	`jnl`	AI System Engineering - Key Challenges and Lessons Learned. Mach. Learn. Knowl. Extr. Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, David Brunner, Mohit Kumar, Bernhard Moser
2021	J	`jnl`	On generalization in moment-based domain adaptation. Ann. Math. Artif. Intell. Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz
2021	J	`jnl`	On the truncated Hausdorff moment problem under Sobolev regularity conditions. Appl. Math. Comput. Werner Zellinger, Bernhard Alois Moser
2021	A*	`conf`	The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
2020	C	`conf`	Applying AI in Practice: Key Challenges and Lessons Learned. CD-MAKE Lukas Fischer, Lisa Ehrlinger, Verena Geist, Rudolf Ramler, Florian Sobieczky, Werner Zellinger, Bernhard Moser
2020	C	`conf`	Beyond federated learning: On confidentiality-critical machine learning applications in industry. ISM Werner Zellinger, Volkmar Wieser, Mohit Kumar, David Brunner, Natalia Shepeleva, Rafa Gálvez, Josef Langer, Lukas Fischer, Bernhard Moser
2020	J	`jnl`	Domain adaptation for regression under Beer-Lambert's law. Knowl. Based Syst. Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Alois Moser
2020	J	`jnl`	Learning Bounds for Moment-Based Domain Adaptation. CoRR Werner Zellinger, Bernhard Alois Moser, Susanne Saminger-Platz
2020	J	`jnl`	Moment-Based Domain Adaptation: Learning Bounds and Algorithms. CoRR Werner Zellinger
2020	J	`jnl`	Multi-source transfer learning of time series in cyclical manufacturing. J. Intell. Manuf. Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger-Platz
2020	J	`jnl`	On Data Augmentation and Adversarial Risk: An Empirical Analysis. CoRR Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard Alois Moser, Gerhard Widmer
2020	J	`jnl`	ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy. CoRR Natalia Shepeleva, Werner Zellinger, Michal Lewandowski, Bernhard Moser
2019	C	`conf`	Domain-Invariant Regression Under Beer-Lambert's Law. ICMLA Ramin Nikzad-Langerodi, Werner Zellinger, Susanne Saminger-Platz, Bernhard Moser
2019	A*	`conf`	Mixture Density Generative Adversarial Networks. CVPR Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
2019	J	`jnl`	Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2018	J	`jnl`	Mixture Density Generative Adversarial Networks. CoRR Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
2017	—	`conf`	Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. ICLR (Poster) Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2017	J	`jnl`	Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2017	J	`jnl`	Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz
2016	—	`conf`	Improving Visual Discomfort Prediction for Stereoscopic Images via Disparity-based Contrast. IQSP Werner Zellinger, Bernhard Moser
2016	—	`conf`	Linear Optimization Approach for Depth Range Adaption of Stereoscopic Videos. SD&A Werner Zellinger, Bernhard Moser, Ayadi Chouikhi, Florian H. Seitner, Matej Nezveda, Margrit Gelautz
2016	—	`conf`	On the optimization of material usage in power transformer manufacturing. IEEE Conf. on Intelligent Systems Georgios C. Chasparis, Werner Zellinger, Verena Haunschmid, Markus Riedenbauer, Reinhard Stumptner
2015	—	`conf`	Trifocal system for high-quality inter-camera mapping and virtual view synthesis. IC3D Florian H. Seitner, Matej Nezveda, Margrit Gelautz, Georg Braun, Christian Kapeller, Werner Zellinger, Bernhard Moser