Mikkel N. Schmidt
Cited by
Cited by
Single-channel speech separation using sparse non-negative matrix factorization.
MN Schmidt, RK Olsson
Interspeech 2, 2-5, 2006
Bayesian non-negative matrix factorization
MN Schmidt, O Winther, L Hansen
Independent Component Analysis and Signal Separation, 540-547, 2009
Nonnegative matrix factor 2-D deconvolution for blind single channel source separation
MN Schmidt, M Mørup
Independent Component Analysis and Blind Signal Separation, 700-707, 2006
Wind noise reduction using non-negative sparse coding
MN Schmidt, J Larsen, FT Hsiao
2007 IEEE workshop on machine learning for signal processing, 431-436, 2007
Deep learning spectroscopy: Neural networks for molecular excitation spectra
K Ghosh, A Stuke, M Todorović, PB Jørgensen, MN Schmidt, A Vehtari, ...
Advanced science 6 (9), 1801367, 2019
Nonnegative matrix factorization with Gaussian process priors
MN Schmidt, H Laurberg
Computational intelligence and neuroscience 2008, 2008
Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission
D Zibar, O Winther, N Franceschi, R Borkowski, A Caballero, V Arlunno, ...
Optics express 20 (26), B181-B196, 2012
Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior
M Arngren, MN Schmidt, J Larsen
Journal of Signal Processing Systems, 1-18, 2010
Nonparametric Bayesian modeling of complex networks: An introduction
MN Schmidt, M Morup
IEEE Signal Processing Magazine 30 (3), 110-128, 2013
Infinite multiple membership relational modeling for complex networks
M Mørup, MN Schmidt, LK Hansen
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
Machine learning-based screening of complex molecules for polymer solar cells
PB Jørgensen, M Mesta, S Shil, JM García Lastra, KW Jacobsen, ...
The Journal of chemical physics 148 (24), 241735, 2018
Sparse non-negative matrix factor 2-d deconvolution
M Mørup, MN Schmidt
Technical Report, 2006
Shift invariant sparse coding of image and music data
M Mørup, MN Schmidt, LK Hansen
Technical Report, 2008
Bayesian community detection
M Mørup, MN Schmidt
Neural computation 24 (9), 2434-2456, 2012
Neural message passing with edge updates for predicting properties of molecules and materials
PB Jørgensen, KW Jacobsen, MN Schmidt
arXiv preprint arXiv:1806.03146, 2018
Deep generative models for molecular science
PB Jørgensen, MN Schmidt, O Winther
Molecular informatics 37 (1-2), 1700133, 2018
Function factorization using warped Gaussian processes
MN Schmidt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Completely random measures for modelling block-structured sparse networks.
T Herlau, MN Schmidt, M Mørup
NIPS, 4260-4268, 2016
Reduction of non-stationary noise using a non-negative latent variable decomposition
MN Schmidt, J Larsen
Machine Learning for Signal Processing, 2008. MLSP 2008. IEEE Workshop on …, 2008
Linear regression on sparse features for single-channel speech separation
MN Schmidt, RK Olsson
Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop …, 2007
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Articles 1–20