| 2025 | ICASSP | Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions. | Nina Lampl, Joo Machado de Freitas, Alexander Fuchs, Benedikt Brezina, Michael Klitzsch, Franz Pernkopf |
| 2024 | ICASSP | Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. | Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf |
| 2023 | ICASSP | Self-Attention for Enhanced OAMP Detection in MIMO Systems. | Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf |
| 2022 | ACML | Example or Prototype? Learning Concept-Based Explanations in Time-Series. | Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann |
| 2019 | ICMLA | Recurrent Dilated DenseNets for a Time-Series Segmentation Task. | Alexander Fuchs, Robin Priewald, Franz Pernkopf |
| 2019 | ICMLA | Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks. | Truc Nguyen, Alexander Fuchs, Franz Pernkopf |
| 2009 | TACAS | Ground Interpolation for the Theory of Equality. | Alexander Fuchs, Amit Goel, Jim Grundy, Sava Krstic, Cesare Tinelli |
| 2008 | LPAR | (LIA) - Model Evolution with Linear Integer Arithmetic Constraints. | Peter Baumgartner, Alexander Fuchs, Cesare Tinelli |
| 2006 | LPAR | Lemma Learning in the Model Evolution Calculus. | Peter Baumgartner, Alexander Fuchs, Cesare Tinelli |