publications

2024

1. Hold me tight: Stable encoder/decoder design for speech enhancement

   Daniel Haider, Felix Perfler, Vincent Lostanlen, and 2 more authors

   In Proceedings of INTERSPEECH, Kos Island, Greece, 2024

   Bib PDF

   @inproceedings{haider2024holdmetight,
     author = {Haider, Daniel and Perfler, Felix and Lostanlen, Vincent and Ehler, Martin and Balazs, Peter},
     booktitle = {Proceedings of INTERSPEECH, Kos Island, Greece},
     year = {2024},
     title = {Hold me tight: Stable encoder/decoder design for speech enhancement},
   }

2. (Almost) smooth sailing: Towards numerical stability of neural networks through differentiable regularization of the condition number

   Rossen Nenov, Daniel Haider, and Peter Balazs

   In 2nd Differentiable Almost Everything Workshop at the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024

   Bib PDF

   @inproceedings{nenov2024smoothsailing,
     author = {Nenov, Rossen and Haider, Daniel and Balazs, Peter},
     booktitle = {2nd Differentiable Almost Everything Workshop at the 41st International Conference on Machine Learning (ICML), Vienna, Austria},
     year = {2024},
     title = {({A}lmost) smooth sailing: Towards numerical stability of neural networks through differentiable regularization of the condition number},
   }

3. Instabilities in convnets for raw audio

   Daniel Haider, Vincent Lostanlen, Martin Ehler, and 1 more author

   IEEE Signal Processing Letters, 2024

   Bib PDF

   @article{haider2023randomconvnet,
     author = {Haider, Daniel and Lostanlen, Vincent and Ehler, Martin and Balazs, Peter},
     journal = {IEEE Signal Processing Letters},
     year = {2024},
     volume = {31},
     pages = {1084--1088},
     title = {Instabilities in convnets for raw audio},
   }

2023

1. Fitting auditory filterbanks with multiresolution neural networks

   Vincent Lostanlen, Daniel Haider, Han Han, and 3 more authors

   In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York, 2023

   Bib PDF

   @inproceedings{lostanlen2023murenn,
     author = {Lostanlen, Vincent and Haider, Daniel and Han, Han and Lagrange, Mathieu and Balazs, Peter and Ehler, Martin},
     booktitle = {Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, New York},
     year = {2023},
     title = {Fitting auditory filterbanks with multiresolution neural networks},
   }

2. Convex Geometry of ReLU-layers, injectivity on the ball and local reconstruction

   Daniel Haider, Peter Balazs, and Martin Ehler

   In Proceedings of the International Conference on Machine Learning (ICML), Honolulu, Hawaii, 2023

   Bib PDF

   @inproceedings{haider2023convrelu,
     author = {Haider, Daniel and Balazs, Peter and Ehler, Martin},
     booktitle = {Proceedings of the International Conference on Machine Learning (ICML), Honolulu, Hawaii},
     year = {2023},
     title = {Convex Geometry of {R}e{LU}-layers, injectivity on the ball and local reconstruction},
   }

3. Double preconditioning for Gabor frame operators: Algebraic, functional analytic and numerical aspects

   Hans G. Feichtinger, Peter Balazs, and Daniel Haider

   Applied and Computational Harmonic Analysis, 2023

   Bib PDF

   @article{feichtinger2023double,
     title = {Double preconditioning for {G}abor frame operators: Algebraic, functional analytic and numerical aspects},
     author = {Feichtinger, Hans G. and Balazs, Peter and Haider, Daniel},
     journal = {Applied and Computational Harmonic Analysis},
     volume = {66},
     pages = {101--137},
     year = {2023},
   }

2021

1. Zeit-Frequenz Darstellungen und Deep Learning

   Daniel Haider, Peter Balazs, Nicki Holighaus, and 1 more author

   In Tagungsband der 47ten Jahrestagung fuer Akustik (DAGA), Vienna, Austria, 2021

   Bib PDF

   @inproceedings{haider2021daga,
     author = {Haider, Daniel and Balazs, Peter and Holighaus, Nicki and Gutscher, Lorenz},
     booktitle = {Tagungsband der 47ten Jahrestagung fuer Akustik (DAGA), Vienna, Austria},
     year = {2021},
     pages = {29--32},
     title = {Zeit-{F}requenz {D}arstellungen und {D}eep {L}earning},
   }

2. Phase-based signal representations for scattering

   Daniel Haider, Peter Balazs, and Nicki Holighaus

   In Proceedings of the 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, 2021

   Bib PDF

   @inproceedings{haider2021phasescat,
     author = {Haider, Daniel and Balazs, Peter and Holighaus, Nicki},
     booktitle = {Proceedings of the 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland},
     year = {2021},
     pages = {6--10},
     title = {Phase-based signal representations for scattering},
   }

2019

1. Master Thesis: Aspects of Time-Frequency Scattering and Towards Phase Scattering

   Daniel Haider

   2019

   Bib

   @mastersthesis{haider2019master,
     author = {Haider, Daniel},
     institution = {University of Vienna},
     title = {Master Thesis: Aspects of Time-Frequency Scattering and Towards Phase Scattering},
     year = {2019}
   }

2. Extraction of Rhythmical Features with the Gabor Scattering Transform

   Daniel Haider, and Peter Balazs

   In Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), Marseille, France, 2019

   Bib PDF

   @inproceedings{haider2019gabrhythm,
     author = {Haider, Daniel and Balazs, Peter},
     booktitle = {Proceedings of the 14th International Symposium on Computer Music Multidisciplinary Research (CMMR), Marseille, France},
     year = {2019},
     pages = {916--923},
     title = {Extraction of Rhythmical Features with the {G}abor Scattering Transform},
   }