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ORCIDMikkel N. Schmidt
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2020 – today
- 2020
[j10]Karen Sando Ambrosen, Simon F. Eskildsen
, Max Hinne, Kristine Krug, Henrik Lundell, Mikkel N. Schmidt, Marcel A. J. van Gerven, Morten Mørup, Tim B. Dyrby:
Validation of structural brain connectivity networks: The impact of scanning parameters. NeuroImage 204 (2020)
2010 – 2019
- 2019
- [c34]Mikkel N. Schmidt, Tommy S. Alstrøm, Marcus Svendstorp, Jan Larsen:
Peak Detection and Baseline Correction Using a Convolutional Neural Network. ICASSP 2019: 2757-2761 - [c33]Maximillian Fornitz Vording, Peter O. Okeyo, Juan J. R. Guillamón, Peter E. Larsen, Mikkel N. Schmidt, Tommy S. Alstrøm:
A Bayesian Generative Model With Gaussian Process Priors For Thermomechanical Analysis Of Micro-Resonators. MLSP 2019: 1-6 - 2018
- [j9]Søren Føns Vind Nielsen, Mikkel N. Schmidt, Kristoffer Henriksen, Morten Mørup:
Predictive assessment of models for dynamic functional connectivity. NeuroImage 171: 116-134 (2018) - [c32]Kristoffer Jon Albers, Mikkel N. Schmidt, Morten Mørup, Marisciel Litong-Palima, Rasmus Bonnevie, Fumiko Kano Glückstad:
Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform. COMPSAC (2) 2018: 159-164 - [c31]Søren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Testing group differences in state transition structure of dynamic functional connectivity models. PRNI 2018: 1-4 - [i3]Peter Bjørn Jørgensen, Karsten Wedel Jacobsen, Mikkel N. Schmidt:
Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials. CoRR abs/1806.03146 (2018) - [i2]Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup:
Probabilistic PARAFAC2. CoRR abs/1806.08195 (2018) - 2017
- [j8]Rasmus Erbou Roge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data. Neural Comput. 29(10): 2712-2741 (2017) - [c30]Tommy S. Alstrøm, Mikkel N. Schmidt, Tomas Rindzevicius, Anja Boisen, Jan Larsen:
A pseudo-Voigt component model for high-resolution recovery of constituent spectra in Raman spectroscopy. ICASSP 2017: 2317-2321 - [c29]Jesper Løve Hinrich, Søren Føns Vind Nielsen, Nicolai André Brogaard Riis, Casper T. Eriksen, Jacob Frosig, Marco D. F. Kristensen, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup:
Scalable group level probabilistic sparse factor analysis. ICASSP 2017: 6314-6318 - [c28]Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup:
Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. MLSP 2017: 1-6 - [c27]Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Modeling dynamic functional connectivity using a wishart mixture model. PRNI 2017: 1-4 - 2016
- [c26]Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt:
The influence of hyper-parameters in the infinite relational model. MLSP 2016: 1-6 - [c25]Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau:
Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. MLSP 2016: 1-6 - [c24]Tue Herlau, Mikkel N. Schmidt, Morten Mørup:
Completely random measures for modelling block-structured sparse networks. NIPS 2016: 4260-4268 - 2015
- [c23]Mikkel N. Schmidt, Kristoffer Jon Albers:
Numerical approximations for speeding up MCMC inference in the infinite relational model. EUSIPCO 2015: 2781-2785 - [c22]Rasmus Erbou Roge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Unsupervised segmentation of task activated regions in fMRI. MLSP 2015: 1-6 - 2014
- [j7]Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup:
Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links. Artif. Intell. Law 22(1): 61-108 (2014) - [j6]Morten Mørup, Mikkel N. Schmidt:
Errata to "Bayesian Community Detection" (Neural Computation, Sept. 2012 , Vol. 24, No. 9: 2434-2456). Neural Comput. 26(6): 1236-1237 (2014) - [j5]Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen:
Non-parametric Bayesian graph models reveal community structure in resting state fMRI. NeuroImage 100: 301-315 (2014) - [c21]Mikkel N. Schmidt, Tue Herlau, Morten Mørup:
Discovering hierarchical structure in normal relational data. CIP 2014: 1-6 - [c20]Tommy S. Alstrøm, Kasper B. Frohling, Jan Larsen, Mikkel N. Schmidt, Michael Bache, Michael S. Schmidt, Mogens H. Jakobsen, Anja Boisen:
Improving the robustness of Surface Enhanced Raman Spectroscopy based sensors by Bayesian Non-negative Matrix Factorization. MLSP 2014: 1-6 - [c19]Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt:
Nonparametric statistical structuring of knowledge systems using binary feature matches. MLSP 2014: 1-6 - [c18]Karen Sando Ambrosen, Kristoffer Jon Albers, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup:
Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution. PRNI 2014: 1-4 - 2013
- [j4]Mikkel N. Schmidt, Morten Mørup:
Nonparametric Bayesian Modeling of Complex Networks: An Introduction. IEEE Signal Process. Mag. 30(3): 110-128 (2013) - [c17]Tue Herlau, Morten Mørup, Mikkel N. Schmidt:
Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) 2013: 960-968 - [c16]Kristoffer Jon Albers, Andreas Leon Aagaard Moth, Morten Mørup, Mikkel N. Schmidt:
Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough. MLSP 2013: 1-6 - [c15]Karen Sando Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup:
Comparing Structural Brain Connectivity by the Infinite Relational Model. PRNI 2013: 50-53 - [c14]Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup:
Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization. SITIS 2013: 233-240 - [c13]Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki:
Analysis of Conceptualization Patterns across Groups of People. TAAI 2013: 349-354 - 2012
- [j3]Morten Mørup, Mikkel N. Schmidt:
Bayesian Community Detection. Neural Comput. 24(9): 2434-2456 (2012) - [c12]Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Detecting hierarchical structure in networks. CIP 2012: 1-6 - [c11]Tommy S. Alstrøm, Bjørn Sand Jensen, Mikkel N. Schmidt, Natalie V. Kostesha, Jan Larsen:
Haussdorff and hellinger for colorimetric sensor array classification. MLSP 2012: 1-6 - [c10]Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Modelling dense relational data. MLSP 2012: 1-6 - 2011
- [j2]Morten Arngren, Mikkel N. Schmidt, Jan Larsen:
Unmixing of Hyperspectral Images using Bayesian Non-negative Matrix Factorization with Volume Prior. J. Signal Process. Syst. 65(3): 479-496 (2011) - [c9]Morten Mørup, Mikkel N. Schmidt:
Transformation invariant sparse coding. MLSP 2011: 1-6 - [c8]Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Infinite multiple membership relational modeling for complex networks. MLSP 2011: 1-6 - [i1]Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Infinite Multiple Membership Relational Modeling for Complex Networks. CoRR abs/1101.5097 (2011) - 2010
- [c7]Mikkel N. Schmidt, Morten Mørup:
Infinite non-negative matrix factorization. EUSIPCO 2010: 905-909
2000 – 2009
- 2009
- [c6]Mikkel N. Schmidt, Shakir Mohamed:
Probabilistic non-negative tensor factorization using Markov chain Monte Carlo. EUSIPCO 2009: 1918-1922 - [c5]Mikkel N. Schmidt:
Function factorization using warped Gaussian processes. ICML 2009: 921-928 - [c4]Mikkel N. Schmidt, Ole Winther, Lars Kai Hansen:
Bayesian Non-negative Matrix Factorization. ICA 2009: 540-547 - [c3]Mikkel N. Schmidt:
Linearly constrained Bayesian matrix factorization for blind source separation. NIPS 2009: 1624-1632 - 2008
- [j1]Mikkel N. Schmidt, Hans Laurberg:
Nonnegative Matrix Factorization with Gaussian Process Priors. Comput. Intell. Neurosci. 2008 (2008) - 2006
- [c2]Mikkel N. Schmidt, Morten Mørup:
Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation. ICA 2006: 700-707 - [c1]Mikkel N. Schmidt, Rasmus Kongsgaard Olsson:
Single-channel speech separation using sparse non-negative matrix factorization. INTERSPEECH 2006
Coauthor Index
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