Alexander Fuchs

According to our database, Alexander Fuchs authored at least 10 papers between 2019 and 2025.

Collaborative distances:

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

2025

Multiantenna Radar Signal Interference Mitigation Using Complex-Valued Convolutional Neural Networks.

Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf

IEEE Trans. Syst. Man Cybern. Syst., March, 2025

Avoiding Domain Drift and Constant Predictions with Diffusion Enhanced Vector-Quantized Autoencoders for Temperature Predictions.

Nina Lampl, João Machado de Freitas, Alexander Fuchs, Benedikt Brezina, Michael Klitzsch, Franz Pernkopf

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Data-Scarce Condition Modeling Requires Model-Based Prior Regularization.

Nikolaus Mutsam, Alexander Fuchs, Fabio Ziegler, Franz Pernkopf

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Self-Attention for Enhanced OAMP Detection in MIMO Systems.

Alexander Fuchs, Christian Knoll, Nima N. Moghadam, Alexey Pak, Jinliang Huang, Erik Leitinger, Franz Pernkopf

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Example or Prototype? Learning Concept-Based Explanations in Time-Series.

Christoph Obermair, Alexander Fuchs, Franz Pernkopf, Lukas Felsberger, Andrea Apollonio, Daniel Wollmann

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks.

Alexander Fuchs, Christian Knoll, Franz Pernkopf

CoRR, 2021

Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation.

Alexander Fuchs, Johanna Rock, Máté Tóth, Paul Meissner, Franz Pernkopf

CoRR, 2021

2020

Wasserstein Routed Capsule Networks.

Alexander Fuchs, Franz Pernkopf

CoRR, 2020

2019

Acoustic Scene Classification Using Deep Mixtures of Pre-trained Convolutional Neural Networks.

Truc Nguyen, Alexander Fuchs, Franz Pernkopf

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

Recurrent Dilated DenseNets for a Time-Series Segmentation Task.

Alexander Fuchs, Robin Priewald, Franz Pernkopf

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