Mikkel N. Schmidt
Zitiert von
Zitiert von
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
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 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
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
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), 2018
Nonnegative matrix factorization with Gaussian process priors
MN Schmidt, H Laurberg
Computational intelligence and neuroscience 2008 (1), 361705, 2008
Nonparametric Bayesian modeling of complex networks: An introduction
MN Schmidt, M Morup
IEEE Signal Processing Magazine 30 (3), 110-128, 2013
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
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
Deep generative models for molecular science
PB Jørgensen, MN Schmidt, O Winther
Molecular informatics 37 (1-2), 1700133, 2018
Infinite multiple membership relational modeling for complex networks
M Mørup, MN Schmidt, LK Hansen
Machine Learning for Signal Processing (MLSP), 2011 IEEE International …, 2011
Bayesian community detection
M Mørup, MN Schmidt
Neural computation 24 (9), 2434-2456, 2012
Shift invariant sparse coding of image and music data
M Mørup, MN Schmidt, LK Hansen
Technical Report, 2008
Completely random measures for modelling block-structured sparse networks
T Herlau, MN Schmidt, M Mørup
Advances in Neural Information Processing Systems 29, 2016
Function factorization using warped Gaussian processes
MN Schmidt
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
Sparse non-negative matrix factor 2-D deconvolution
M Mørup, MN Schmidt
Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks
J Busk, PB Jørgensen, A Bhowmik, MN Schmidt, O Winther, T Vegge
Machine Learning: Science and Technology 3 (1), 015012, 2021
Probabilistic non-negative tensor factorisation using Markov Chain Monte Carlo
M Schmidt, S Mohamed
European Signal Processing Conference (EUSIPCO), 2009
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