Signal Processing and Speech Communication Laboratory
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Alexander Fuchs

Room number
IDEG046
Telephone number
  • office: +43 316 873 - 4379
Position
Research Associate
Email
fuchs@tugraz.at

Alexander Fuchs received his M.Sc. in Physics in 2018 and his Ph.D. in 2022. His research primarily focuses on applying deep learning methods to scenarios with noisy and sparse data in industrial settings. These challenging scenarios require techniques that incorporate inductive biases, domain adaptation, and other methods to enhance model robustness and generalization. Additionally, he explores the integration of analytical algorithms with machine learning components, developing hybrid models that leverage the strengths of both approaches.


Student Projects
Publications
  • Conference paper Lampl N., Freitas J., Fuchs A. & Pernkopf F. (2025) Avoiding domain drift and constant predictions with diffusion enhanced vector-quantized autoencoders for temperature prediction. in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025. [more info]
  • Conference paper Hofmann-Wellenhof M., Fuchs A. & Pernkopf F. (2024) On Training Physics-Informed Neural Networks for Oscillating Problems. in ICLR 2024 Workshop on AI4DifferentialEquations In Science. [more info]
  • Journal article Fuchs A., Rock J., Toth M., Meissner P. & Pernkopf F. (2024) Multi Antenna Radar Signal Denoising and Interference Mitigation using Complex-valued Convolutional Neural Networks. in IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. [more info]
  • Conference paper Mutsam N., Fuchs A., Ziegler F. & Pernkopf F. (2024) Data-Scarce Condition Modeling Requires Model-Based Prior Regularization. in 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. [more info]
  • Conference paper Fuchs A., Knoll C., Leitinger E. & Pernkopf F. (2023) Self-attention for enhanced OAMP Detection in MIMO Systems. in 48th IEEE International Conference on Acoustics, Speech, and Signal Processing. [more info] [doi]
  • Conference paper Maier L., Fuchs A. & Pernkopf F. (2023) Distribution Mismatch Correction for Acoustic Scene Classification. in 15th ITG Conference on Speech Communication. [more info]
  • Conference paper Obermair C., Fuchs A., Felsberger L., Pernkopf F., Apollonio A. & Wollmann D. (2023) Example or Prototype? Learning Concept-Based Explanations in Time Series. in 14th Asian Conference on Machine Learning. [more info]
  • Conference paper Fuchs A., Knoll C. & Pernkopf F. (2021) Wasserstein Distribution Correction for Improved Robustness in Deep Neural Networks.. [more info]
  • Conference paper Fuchs A., Rock J., Toth M., Meissner P. & Pernkopf F. (2021) Complex-Valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation.. [more info]
  • Conference paper Fuchs A., Knoll C. & Pernkopf F. (2021) Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks. in Distribution Shifts. [more info]
  • Conference paper Fuchs A., Priewald R. & Pernkopf F. (2020) Laser-based Hair Crack Detection on Wafers. in 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference. [more info] [doi]
  • Conference paper Fuchs A., Priewald R. & Pernkopf F. (2019) Recurrent Dilated DenseNets for a Time-Series Segmentation Task.. [more info]
  • Conference paper Nguyen T., Pernkopf F. & Fuchs A. (2019) Acoustic Scene Classification Using Deep Mixture of Pre-trained Convolutional Neural Networks.. [more info]