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Mikkel N. Schmidt
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Cited by
Cited by
Year
Single-channel speech separation using sparse non-negative matrix factorization.
MN Schmidt, RK Olsson
Interspeech 2, 2-5, 2006
4702006
Bayesian non-negative matrix factorization
MN Schmidt, O Winther, L Hansen
Independent Component Analysis and Signal Separation, 540-547, 2009
2622009
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
2102006
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
2042007
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
1692019
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
1082012
Nonnegative matrix factorization with Gaussian process priors
MN Schmidt, H Laurberg
Computational intelligence and neuroscience 2008, 2008
1082008
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
972010
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
952018
Nonparametric Bayesian modeling of complex networks: An introduction
MN Schmidt, M Morup
IEEE Signal Processing Magazine 30 (3), 110-128, 2013
892013
Infinite multiple membership relational modeling for complex networks
M Mørup, MN Schmidt, LK Hansen
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
762011
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
752018
Bayesian community detection
M Mørup, MN Schmidt
Neural computation 24 (9), 2434-2456, 2012
632012
Deep generative models for molecular science
PB Jørgensen, MN Schmidt, O Winther
Molecular informatics 37 (1-2), 1700133, 2018
592018
Shift invariant sparse coding of image and music data
M Mørup, MN Schmidt, LK Hansen
Technical Report, 2008
572008
Completely random measures for modelling block-structured sparse networks
T Herlau, MN Schmidt, M Mørup
Advances in Neural Information Processing Systems 29, 2016
512016
Sparse non-negative matrix factor 2-D deconvolution
M Mørup, MN Schmidt
462006
Function factorization using warped Gaussian processes
MN Schmidt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
432009
Probabilistic non-negative tensor factorisation using Markov Chain Monte Carlo
M Schmidt, S Mohamed
European Signal Processing Conference (EUSIPCO), 2009
412009
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
342007
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Articles 1–20