2024 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 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}, } 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}, } 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 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}, } 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 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} } 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}, }