On the Potential of Simple Framewise Approaches to Piano Transcription. - Rainer Kelz; Matthias Dorfer; Filip Korzeniowski; Sebastian Böck; Andreas Arzt; Gerhard Widmer (ISMIR, 2016)

Deep Linear Discriminant Analysis. - Matthias Dorfer; Rainer Kelz; Gerhard Widmer (ICLR (Poster), 2016)

An Experimental Analysis of the Entanglement Problem in Neural-Network-based Music Transcription Systems. - Rainer Kelz; Gerhard Widmer (Semantic Audio, 2017)

Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine Grained Audio Signal Labelling. - Rainer Kelz; Gerhard Widmer (ICASSP, 2018)

Learning to Transcribe by Ear. - Rainer Kelz; Gerhard Widmer (CoRR, 2018)

Deep Polyphonic ADSR Piano Note Transcription. - Rainer Kelz; Sebastian Böck; Gerhard Widmer (ICASSP, 2019)

Towards Interpretable Polyphonic Transcription with Invertible Neural Networks. - Rainer Kelz; Gerhard Widmer (ISMIR, 2019)

Multitask Learning for Polyphonic Piano Transcription, a Case Study. - Rainer Kelz; Sebastian Böck; Gerhard Widmer (CoRR, 2019)

Audio-Conditioned U-Net for Position Estimation in Full Sheet Images. - Florian Henkel; Rainer Kelz; Gerhard Widmer (CoRR, 2019)

Learning to Read and Follow Music in Complete Score Sheet Images. - Florian Henkel; Rainer Kelz; Gerhard Widmer (ISMIR, 2020)

Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries. - Lukás Samuel Marták; Rainer Kelz; Gerhard Widmer (EUSIPCO, 2021)

Nonlinear Denoising, Linear Demixing. - Rainer Kelz; Gerhard Widmer (ICBINB@NeurIPS, 2021)

Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation. - Lukás Samuel Marták; Rainer Kelz; Gerhard Widmer (CoRR, 2022)