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Daniel Haider
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2020 – today
- 2024
- [j1]Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs:
Instabilities in Convnets for Raw Audio. IEEE Signal Process. Lett. 31: 1084-1088 (2024) - [i7]Daniel Haider, Martin Ehler, Péter Balázs:
Injectivity of ReLU-layers: Perspectives from Frame Theory. CoRR abs/2406.15856 (2024) - [i6]Daniel Haider, Felix Perfler, Vincent Lostanlen, Martin Ehler, Péter Balázs:
Hold Me Tight: Stable Encoder-Decoder Design for Speech Enhancement. CoRR abs/2408.17358 (2024) - [i5]Rossen Nenov, Daniel Haider, Peter Balazs:
(Almost) Smooth Sailing: Towards Numerical Stability of Neural Networks Through Differentiable Regularization of the Condition Number. CoRR abs/2410.00169 (2024) - 2023
- [c3]Daniel Haider, Martin Ehler, Péter Balázs:
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. ICML 2023: 12339-12350 - [c2]Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler:
Fitting Auditory Filterbanks with Multiresolution Neural Networks. WASPAA 2023: 1-5 - [i4]Daniel Haider, Martin Ehler, Péter Balázs:
Convex Geometry of ReLU-layers, Injectivity on the Ball and Local Reconstruction. CoRR abs/2307.09672 (2023) - [i3]Vincent Lostanlen, Daniel Haider, Han Han, Mathieu Lagrange, Péter Balázs, Martin Ehler:
Fitting Auditory Filterbanks with Multiresolution Neural Networks. CoRR abs/2307.13821 (2023) - [i2]Daniel Haider, Vincent Lostanlen, Martin Ehler, Péter Balázs:
Energy Preservation and Stability of Random Filterbanks. CoRR abs/2309.05855 (2023) - 2022
- [i1]Daniel Haider, Péter Balázs, Nicki Holighaus:
Phase-Based Signal Representations for Scattering. CoRR abs/2202.07484 (2022) - 2021
- [c1]Daniel Haider, Péter Balázs, Nicki Holighaus:
Phase-Based Signal Representations for Scattering. EUSIPCO 2021: 6-10
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