Daniel Haider

17 papers A* 1A 1C 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aliasing in Convnets: A Frame-Theoretic Perspective.
CoRR
Daniel Haider, Vincent Lostanlen, Martin Ehler, Nicki Holighaus, Peter Balazs
2025 J jnl
ISAC: An Invertible and Stable Auditory Filter Bank with Customizable Kernels for ML Integration.
CoRR
Daniel Haider, Felix Perfler, Peter Balazs, Clara Hollomey, Nicki Holighaus
2025 J jnl
Optimal lower Lipschitz bounds for ReLU layers, saturation, and phase retrieval.
CoRR
Daniel Freeman, Daniel Haider
2025 — conf
Residual Hybrid Filterbanks.
SSP
Vincent Lostanlen, Xiran Zhang, Daniel Haider, Mathieu Lagrange, Martin Ehler, Peter Balazs
2024 J jnl
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number.
CoRR
Rossen Nenov, Daniel Haider, Peter Balazs
2024 A conf
Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement.
INTERSPEECH
Daniel Haider, Felix Perfler, Vincent Lostanlen, Martin Ehler, Peter Balazs
2024 J jnl
Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement.
CoRR
Daniel Haider, Felix Perfler, Vincent Lostanlen, Martin Ehler, Péter Balázs
2024 J jnl
Injectivity of ReLU-layers: Perspectives from Frame Theory.
CoRR
Daniel Haider, Martin Ehler, Péter Balázs
2024 J jnl
Instabilities in Convnets for Raw Audio.
IEEE Signal Process. Lett.
Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs
2024 C conf
Invertibility of ReLU-Layers: A Practical Approach.
IJCCI
Hannah Eckert, Daniel Haider, Martin Ehler, Peter Balazs
2023 A* conf
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction.
ICML
Daniel Haider, Martin Ehler, Péter Balázs
2023 J jnl
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction.
CoRR
Daniel Haider, Martin Ehler, Péter Balázs
2023 J jnl
Energy Preservation and Stability of Random Filterbanks.
CoRR
Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs
2023 — conf
Fitting Auditory Filterbanks with Multiresolution Neural Networks.
WASPAA
Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2023 J jnl
Fitting Auditory Filterbanks with Multiresolution Neural Networks.
CoRR
Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler
2022 J jnl
Phase-Based Signal Representations for Scattering.
CoRR
Daniel Haider, Péter Balázs, Nicki Holighaus
2021 — conf
Phase-Based Signal Representations for Scattering.
EUSIPCO
Daniel Haider, Péter Balázs, Nicki Holighaus