Zellinger, Werner

11 publications

ICLR 2025 Binary Losses for Density Ratio Estimation Werner Zellinger

ICLRW 2025 Improved Density Ratio Estimation for Evaluating Synthetic Data Quality Lukas Gruber, Markus Holzleitner, Sepp Hochreiter, Werner Zellinger

JMLR 2024 On Regularized Radon-Nikodym Differentiation Duc Hoan Nguyen, Werner Zellinger, Sergei Pereverzyev

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

CoLLAs 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

JMLR 2023 Adaptive Learning of Density Ratios in RKHS Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev

ICLR 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 A. Moser, Sergei Pereverzyev, Sepp Hochreiter, Werner Zellinger

CoLLAs 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

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

NeurIPS 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 Pereverzyev, Bernhard A. Moser

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