Phase-Based Signal Representations for Scattering. - Daniel Haider; Péter Balázs; Nicki Holighaus (EUSIPCO, 2021)

Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. - Daniel Haider; Martin Ehler; Péter Balázs (ICML, 2023)

Fitting Auditory Filterbanks with Multiresolution Neural Networks. - Vincent Lostanlen; Daniel Haider; Han Han; Mathieu Lagrange; Péter Balázs; Martin Ehler (WASPAA, 2023)

Energy Preservation and Stability of Random Filterbanks. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Péter Balázs (CoRR, 2023)

Invertibility of ReLU-Layers: A Practical Approach. - Hannah Eckert; Daniel Haider; Martin Ehler; Peter Balazs (IJCCI, 2024)

Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. - Daniel Haider; Felix Perfler; Vincent Lostanlen; Martin Ehler; Peter Balazs (INTERSPEECH, 2024)

Injectivity of ReLU-layers: Perspectives from Frame Theory. - Daniel Haider; Martin Ehler; Péter Balázs (CoRR, 2024)

(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number. - Rossen Nenov; Daniel Haider; Peter Balazs (CoRR, 2024)

Instabilities in Convnets for Raw Audio. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Péter Balázs (IEEE Signal Process. Lett., 2024)

Residual Hybrid Filterbanks. - Vincent Lostanlen; Xiran Zhang; Daniel Haider; Mathieu Lagrange; Martin Ehler; Peter Balazs (SSP, 2025)

Optimal lower Lipschitz bounds for ReLU layers, saturation, and phase retrieval. - Daniel Freeman; Daniel Haider (CoRR, 2025)

ISAC: An Invertible and Stable Auditory Filter Bank with Customizable Kernels for ML Integration. - Daniel Haider; Felix Perfler; Peter Balazs; Clara Hollomey; Nicki Holighaus (CoRR, 2025)

Aliasing in Convnets: A Frame-Theoretic Perspective. - Daniel Haider; Vincent Lostanlen; Martin Ehler; Nicki Holighaus; Peter Balazs (CoRR, 2025)