%------------------------------------------------------------------------ %Journal articles %------------------------------------------------------------------------ @Article{Li2024tmlr, pdf = "papers/li2024tmlr.pdf", author = {Bo Li and Yasin Esfandiari and Mikkel N. Schmidt and Tommy S. Alstr{\o}m and Sebastian U. Stich}, title = {Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity}, journal = {Transactions on Machine Learning Research (TMLR)}, year = 2024, entrysubtype = "journal" } @Article{Busk2023pccp, pdf = "papers/busk2023pccp.pdf", author = {Jonas Busk and Mikkel N. Schmidt and Ole Winther and Tejs Vegge and Peter Bj{\o}rn J{\o}rgensen}, title = {Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces}, journal = {Physical Chemistry Chemical Physics}, year = 2023, doi = {10.1039/D3CP02143B}, entrysubtype = "journal" } @Article{Hansen2023cils, pdf = "papers/hansen2023cils.pdf", author = {David Frich Hansen and Tommy Sonne Alstr{\o}m and Mikkel N. Schmidt }, title = {Probabilistic signal estimation for vibrational spectroscopy with a flexible non-stationary Gaussian process baseline model}, journal = {Chemometrics and Intelligent Laboratory Systems}, year = 2023, doi = {10.1016/j.chemolab.2023.104974}, entrysubtype = "journal" } @Article{Li2023analyst, pdf = "papers/li2023analyst.pdf", author = {Bo li and Giulia Zappal\'a and Elodie Dumont and Anja Boisen and Tomas Rindzevicius and Mikkel N. Schmidt and Tommy S. Alstr{\o}m}, title = {Nitroaromatic explosives detection and quantification using attention-based transformer on surface-enhanced Raman spectroscopy maps}, journal = {Analyst}, year = 2023, doi = {10.1039/D3AN00446E}, entrysubtype = "journal", new = "new" } @Article{Srinivasan2022jlt, pdf = "papers/srinivasan2022jlt.pdf", author = {Muralikrishnan Srinivasan and Jinxiang Song and Alexander Grabowski and Krzysztof Szczerba and Holger K. Iversen and Mikkel N. Schmidt and Darko Zibar and Jochen Schr{\o}der and Anders Larsson and Christian H{\"a}ger and Henk Wymeersch}, title = {End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities}, journal = {Journal of Lightwave Technology}, year = 2023, doi = {10.1109/JLT.2023.3251660}, volume = 41, issue = 11, url = {http://arxiv.org/abs/2211.14481}, entrysubtype = "journal" } @Article{Li2022analyst, pdf = "papers/li2022analyst.pdf", author = {Bo li and Mikkel N. Schmidt and Tommy S. Alstr{\o}m}, title = {Raman Spectrum Matching with Contrastive Representation Learning}, journal = {Analyst}, year = 2022, doi = {10.1039/D2AN00403H}, entrysubtype = "journal", new = "new" } @Article{Albers2022fron, author = {Kristoffer Jon Albers and Matthew G. Liptrot and Karen Sand{\o} Ambrosen and Rasmus R{\o}ge and Tue Herlau and Kasper Winther Andersen and Hartwig R. Siebner and Lars Kai Hansen and Tim B. Dyrby and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Uncovering Cortical Units of Processing from Multi-Layered Connectomes }, journal = {Frontiers in Neuroscience}, year = 2022, doi = {10.3389/fnins.2022.836259}, entrysubtype = "journal" } @Article{Busk2021mlst, pdf = "papers/busk2021mlst.pdf", author = {Jonas Busk and Peter Bj{\o}rn J{\o}rgensen and Arghya Bhowmik and Mikkel N. Schmidt and Ole Winther and Tejs Vegge}, title = {Calibrated uncertainty for molecular property prediction using ensembles of message passing neural networks}, journal = {Machine Learning: Science and Technology}, year = 2021, volume = 3, number = 1, doi = {10.1088/2632-2153/ac3eb3}, entrysubtype = "journal" } @Article{Bonnevie2021jmlr, pdf = "papers/bonnevie2021jmlr.pdf", author = {Rasmus Bonnevie and Mikkel N. Schmidt}, title = {Matrix product states for inference in discrete probabilistic models}, journal = {Journal of machine learning research}, volume = 22, year = 2021, url = {http://jmlr.org/papers/v22/18-431.html}, entrysubtype = "journal", new = "new" } @Article{Schmidt2021meth, pdf = "papers/schmidt2021meth.pdf", author = {Mikkel N. Schmidt and Daniel Seddig and Eldad Davidov and Morten M{\o}rup and Jan Michael Bauer and Fumiko Kano Gl{\"u}ckstad}, title = {Latent Profile Analysis of Human Values: What is the Optimal Number of Clusters?}, journal = {Methodology}, volume = 17, issue = 2, year = 2021, doi = {10.5964/meth.5479}, entrysubtype = "journal" } @Article{Albers2021ni, pdf = "papers/albers2021ni.pdf", author = {Kristoffer Jon Albers and Karen S. Ambrosen and Matthew G. Liptrot and Tim B. Dyrby and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Using connectomics for predictive assessment of brain parcellations}, journal = {NeuroImage}, year = 2021, volume = 238, month = {September}, doi = {10.1016/j.neuroimage.2021.118170}, entrysubtype = "journal" } @Article{albers2020jms, pdf = "papers/albers2020jms.pdf", author = {Kristoffer Jon Albers and Morten M{\o}rup and Mikkel N. Schmidt and Fumiko K. Gl{\"u}ckstad}, title = {Predictive evaluation of human value segmentations}, journal = {Journal of Mathematical Sociology}, year = 2020, doi = {10.1080/0022250X.2020.1811277}, entrysubtype = "journal" } @Article{gluckstad2019jbr, pdf = "papers/gluckstad2019jbr.pdf", author = {Fumiko K. Gl{\"u}ckstad and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Testing a model of destination image formation: Application of Bayesian relational modeling and fsQCA}, journal = {Journal of Business Research}, volume = 120, pages = {351--363}, month = {November}, year = 2020, doi = {10.1016/j.jbusres.2019.10.014}, entrysubtype = "journal" } @Article{jorgensen2019prb, pdf = "papers/jorgensen2019prb.pdf", author = {Peter Bj{\o}rn J{\o}rgensen and Estefan\'{\i}a Garijo del R\'{\i}o and Mikkel N. Schmidt and Karsten Wedel Jacobsen}, title = {Materials property prediction using symmetry-labeled graphs as atomic-position independent descriptors}, journal = {Physical Review B}, year = 2019, doi = {10.1103/PhysRevB.100.104114}, volume = 100, number = 104114, issue = 10, entrysubtype = "journal" } @Article{ambrosen2019ni, pdf = "papers/ambrosen2019ni.pdf", author = {Karen S. Ambrosen and Simon F. Eskildsen and Max Hinne and Kristine Krug and Henrik Lundell and Mikkel N. Schmidt and Marcel A. J. van Gerven and Morten M{\o}rup and Tim B. Dyrby}, title = {Validation of structural brain connectivity networks: The impact of scanning parameters}, journal = {Neuroimage}, year = 2019, volume = 204, doi = {10.1016/j.neuroimage.2019.116207}, entrysubtype = "journal", new = "new" } @Article{ghosh2019as, pdf = "papers/ghosh2019as.pdf", author = {Kunal Ghosh and Annika Stuke and Milica Todorovi{\'c} and Peter Bj{\o}rn J{\o}rgensen and Mikkel N. Schmidt and Aki Vehtari and Patrick Rinke}, title = {Deep Learning Spectroscopy: Neural Networks for Molecular Excitation Spectra}, journal = {Advanced Science}, year = 2019, volume = 6, issue = 9, month = {May}, doi = {10.1002/advs.201801367}, entrysubtype = "journal", new = "new" } @Article{schmidt2018spl, pdf = "papers/schmidt2018spl.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Efficient computation for Bayesian comparison of two proportions}, journal = {Statistics \& probability letters}, year = 2019, month = {February}, pages = {57--62}, volume = 145, doi = {10.1016/j.spl.2018.08.011}, entrysubtype = "journal" } @Article{jorgensen2018jcp, pdf = "papers/jorgensen2018jcp.pdf", author = {Peter Bj{\o}rn J{\o}rgensen and Murat Mesta and Suranjan Shil and Juan Maria Garc{\'i}a Lastra and Karsten Wedel Jacobsen and Kristian Sommer Thygesen and Mikkel N. Schmidt}, title = {Machine learning-based screening of complex molecules for polymer solar cells }, journal = {The Journal of Chemical Physics}, year = 2018, volume = 148, number = 241735, doi = {10.1063/1.5023563}, entrysubtype = "journal" } @Article{jorgensen2017mi, pdf = "papers/jorgensen2017mi.pdf", author = {Peter B. J{\o}rgensen and Mikkel N. Schmidt and Ole Winther}, title = {Deep Generative Models for Molecular Science}, journal = {Molecular Informatics}, year = 2017, volume = 37, number = {1--2}, month = {February}, doi = {10.1002/minf.201700133}, entrysubtype = "journal" } @Article{nielsen2017ni, pdf = "papers/nielsen2017ni.pdf", author = {S{\o}ren F{\o}ns Vind Nielsen and Mikkel N. Schmidt and Kristoffer Hougaard Madsen and Morten M{\o}rup}, title = {Predictive assessment of models for dynamic functional connectivity}, journal = {NeuroImage}, year = 2017, doi = {10.1016/j.neuroimage.2017.12.084}, entrysubtype = "journal" } @Article{roge2017neco, pdf = "papers/roge2017neco.pdf", author = {Rasmus E. R{\o}ge and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Infinite von {M}ises-{F}isher mixture modeling of whole-brain {fMRI} data}, journal = "Neural Computation", year = 2017, volume = 29, number = 10, pages = {2712--2741}, month = {October}, doi = {10.1162/neco_a_01000}, entrysubtype = "journal" } @Article{gluckstad2016jccp, pdf = "papers/gluckstad2016jccp.pdf", author = {Fumiko K. Gl{\"u}ckstad and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Examination of Heterogeneous Societies: Identifying subpopulations by contrasting cultures}, journal = {Journal of Cross-Cultural Psychology}, publisher = "Sage", year = {2017}, volume = {48}, number = {1}, doi = {doi:10.1177/0022022116672346}, entrysubtype = "journal" } @Article{frohling2015vs, pdf = "papers/frohling2015vs.pdf", author = {Kasper B. Fr{\o}hling and Tommy S. Alstr{\o}m and Michael Bache and Michael S. Schmidt and Mikkel N. Schmidt and Jan larsen and Mogens H. Jakobsen and Anja Boisen}, title = {Surface-enhanced Raman spectroscopic study of DNA and 6-mercapto-1-hexanol interactions using large area mapping}, journal = "Vibrational Spectroscopy", publisher = "Elsevier", doi = {doi:10.1016/j.vibspec.2016.08.005}, year = "2016", volume = "86", month = "September", pages = {331--336}, entrysubtype = "journal" } @Article{andersen2014ni, pdf = "papers/andersen2014ni.pdf", author = {Kasper Winther Andersen and Kristoffer H. Madsen and Hartwig Roman Siebner and Mikkel N. Schmidt and Morten M{\o}rup and Lars Kai Hansen}, title = {Non-parametric Bayesian graph models reveal community structure in resting state fMRI}, journal = {NeuroImage}, publisher = "Elsevier", doi = {10.1016/j.neuroimage.2014.05.083}, year = 2014, pages = {301--15}, entrysubtype = "journal" } @Article{herlau2014pre, pdf = "papers/herlau2014pre.pdf", author = {Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Infinite-degree-corrected stochastic block model}, journal = {Physical Review E}, year = 2014, volume = 90, number = 032819, doi = {10.1103/PhysRevE.90.032819}, entrysubtype = "journal" } @article{gluckstad2013ailaw, pdf = "papers/gluckstad2013ailaw.pdf", author = {Fumiko K. Gl{\"u}ckstad and Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Cross-categorization of legal concepts across boundaries of legal systems}, journal = {Artificial Intelligence and Law}, publisher = "Springer", year = 2014, doi = "10.1007/s10506-013-9150-2", entrysubtype = "journal" } @article{schmidt2013spm, pdf = "papers/schmidt2013spm.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Non-parametric Bayesian modeling of complex networks. An introduction}, journal = {IEEE Signal Processing Magazine}, year = 2013, volume = 30, number = 3, pages = {110--128}, month = {May}, doi = {10.1109/MSP.2012.2235191}, entrysubtype = "journal" } @article{zibar2012oe, author = {Darko Zibar and Ole Winther and Niccolo Franceschi and Robert Borkowski and Antonio Caballero and Valeria Arlunno and Mikkel N. Schmidt and Neil Guerrero Gonzales and Bangning Mao and Yabin Ye and Knud J.~Larsen and Idelfonso Tafur Monroy}, title = {Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission}, journal = {Optics Express}, year = 2013, volume = 20, number = 26, pages = {B181--B196}, doi = "10.1364/OE.20.00B181", entrysubtype = "journal" } @article{morup2012neco, pdf = "papers/morup2012neco.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt}, title = {Bayesian community detection}, journal = {Neural Computation}, publisher = "MIT Press", year = 2012, volume = 24, number = 9, pages = {2434--56}, doi = "10.1162/NECO_a_00314", entrysubtype = "journal" } @article{arngren2010jsps, pdf = "papers/arngren2010jsps.pdf", author = {Morten Arngren and Mikkel N. Schmidt and Jan Larsen}, title = {Unmixing of hyperspectral images using Bayesian nonnegative matrix factorization with volume prior}, journal = {Journal of Signal Processing Systems}, year = 2010, volume = 65, number = 3, pages = "479--496", doi = {10.1007/s11265-010-0533-2}, entrysubtype = "journal" } @article{schmidt2008cin, pdf = "papers/schmidt2008cin.pdf", author = {Mikkel N. Schmidt and Hans Laurberg}, title = {Non-negative matrix factorization with Gaussian process priors}, journal = {Computational Intelligence and Neuroscience}, year = 2008, doi = {10.1155/\/2008/361705}, entrysubtype = "journal" } %------------------------------------------------------------------------ %Conference articles %------------------------------------------------------------------------ @InProceedings{jorgensen2023ml4molecules, pdf = "papers/jorgensen2023ml4molecules.pdf", author = {Peter Bj{\o}rn J{\o}rgensen and Jonas Busk and Ole Winther and Mikkel N. Schmidt}, title = {Coherent Energy and Force Uncertainty in Deep Learning Force Fields}, booktitle = {ELLIS Advancing Molecular Machine Learning Workshop (ML4Molecules)}, year = 2023, entrysubtype = "conference", } @InProceedings{cornet2023ai4mat, pdf = "papers/cornet2023ai4mat.pdf", author = {Fran\c{c}ois R. J. Cornet and Bardi Benediktsson and Bjarke Hastrup and Arghya Bhowmik and Mikkel N. Schmidt}, title = {Inverse-design of organometallic catalysts with guided equivariant diffusion}, booktitle = {ELLIS Advancing Molecular Machine Learning Workshop (ML4Molecules) and AI for Accelerated Materials Design, NeurIPS Workshop (AI4MAT)}, year = 2023, entrysubtype = "conference", } @InProceedings{brusch2023mlsp, pdf = "papers/brusch2023mlsp.pdf", author = {Thea Br{\"u}sch and Mikkel N. Schmidt and Tommy S. Alstr{\o}m}, title = {Multi-view self-supervised learning for multivariate variable-channel time series}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2023, doi = {10.1109/MLSP55844.2023.10285993}, entrysubtype = "conference", } @InProceedings{hansen2023mlsp, pdf = "papers/hansen2023mlsp.pdf", author = {David Frich Hansen and Tommy S. Alstr{\o}m and Mikkel N. Schmidt}, title = {Amortized variational peak fitting for spectroscopic data}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2023, doi = {10.1109/MLSP55844.2023.10285981}, entrysubtype = "conference", } @InProceedings{Olsen2023dslwutb, pdf = "papers/olsen2023dslwutb.pdf", author = {Anders S. Olsen and Emil Ortvald and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Angular central Gaussian and Watson mixture models for assessing dynamic functional brain connectivity during a motor task}, booktitle = {Unraveling the Brain, Data Science and Learning Workshop (DSLW), ICASSP Satellite}, year = 2023, doi = {10.1109/ICASSPW59220.2023.10193021}, entrysubtype = "conference", } @InProceedings{Li2022cvpr, pdf = "papers/li2022cvpr.pdf", author = {Bo Li and Mikkel N. Schmidt and Tommy S. Alstr{\o}m and Sebastian U. Stich}, title = {On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data}, booktitle = {Computer Vision and Pattern Recognition Conference, The IEEE/CVF (CVPR)}, year = 2023, pages = {3964-3973}, entrysubtype = "conference", url = {https://openaccess.thecvf.com/content/CVPR2023/html/Li_On_the_Effectiveness_of_Partial_Variance_Reduction_in_Federated_Learning_CVPR_2023_paper.html}, } @InProceedings{herlau2022iwsmai, pdf = "papers/herlau2022iwsmai.pdf", author = {Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Bayesian dropout}, booktitle = {Workshop on Statistical Methods and Artificial Intelligence, International Workshop on (IWSMAI), Procedia Computer Science, vol 201.}, year = 2022, pages = {771--776}, doi = {10.1016/j.procs.2022.03.105}, entrysubtype = "conference", } @InProceedings{larsen2021aaip, pdf = "papers/larsen2021aaip.pdf", author = {Rasmus Larsen and Mikkel N. Schmidt}, title = {Programmatic policy extraction by iterative local search}, booktitle = {Approaches and Applications of Inductive Programming, International Workshop on (AAIP), Lecture Notes in Computer Science, vol 13191.}, year = 2021, doi = {10.1007/978-3-030-97454-1_11}, entrysubtype = "conference", } @InProceedings{vording2019mlsp, pdf = "papers/vording2019mlsp.pdf", author = {Maximillian F. Vording and Peter O. Okeyo and Juan J. R. Guillamon and Peter E. Larsen and Mikkel N. Schmidt and Tommy S. Alstr{\o}m}, title = {A Bayesian generative model with Gaussian process priors for termomechanical analysis of micro-resonators}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2019, doi = {10.1109/MLSP.2019.8918876}, entrysubtype = "conference", } @InProceedings{schmidt2019icassp, pdf = "papers/schmidt2019icassp.pdf", author = {Mikkel N. Schmidt and Tommy S. Alstr{\o}m and Marcus Svendstorp and Jan Larsen}, title = {Peak detection and baseline correction using a convolutional neural network}, booktitle = {Acoustics, speech and signal processing, IEEE international conference on (ICASSP)}, year = 2019, doi = {10.1109/ICASSP.2019.8682311}, entrysubtype = "conference", } @InProceedings{jorgensen2018mlmm, pdf = "papers/jorgensen2018mlmm.pdf", author = {Peter Bj{\o}rn J{\o}rgensen and Karsten Wedel Jacobsen and Mikkel N. Schmidt}, title = {Neural Message Passing with Edge Updates for Predicting Properties of Molecules and Materials}, booktitle = {Machine Learning for Molecules and Materials, NIPS workshop on}, year = 2018, entrysubtype = "conference", } @InProceedings{albers2018compsac, pdf = "papers/albers2018compsac.pdf", author = {Kristoffer Jon Albers and Mikkel N. Schmidt and Morten M{\o}rup and Marisciel Litong-Palima and Rasmus Bonnevie and Fumiko Kano Gl{\"u}ckstad}, title = {Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform}, booktitle = {Computer Software and Applications Conference (COMPSAC)}, year = 2018, pages = {159--164}, month = {July}, doi = {10.1109/COMPSAC.2018.10221}, entrysubtype = "conference", } @InProceedings{nielsen2018prni, pdf = "papers/nielsen2018prni.pdf", author = {S{\o}ren F. V. Nielsen and Diego Vidaurre and Mikkel N. Schmidt and Kristoffer H. Madsen and Morten M{\o}rup}, title = {Testing group differences in state transition structure of dynamic functional connectivity models}, booktitle = {Pattern Recognition in NeuroImaging (PRNI)}, year = 2018, doi = {10.1109/PRNI.2018.8423966}, entrysubtype = "conference", } @InProceedings{nielsen2017prni, pdf = "papers/nielsen2017prni.pdf", author = {S{\o}ren F. V. Nielsen and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Modeling dynamic functional connectivity using a wishart mixture model}, booktitle = {Pattern Recognition in NeuroImaging (PRNI)}, year = 2017, doi = {10.1109/PRNI.2017.7981505}, entrysubtype = "conference", } @InProceedings{hinrich2017icassp, pdf = {papers/hinrich2017icassp.pdf}, author = {Jesper L. Hinrich and S{\o}ren F. V. Nielsen and Nicolai A. B. Riis and Casper T. Eriksen and Jacob Fr{\o}sig and Marco D. F. Kristensen and Mikkel N. Schmidt and Kristoffer H. Madsen and Morten M{\o}rup}, title = {Scalable group level probabilistic sparse factor analysis}, booktitle = {Acoustics, speech and signal processing, IEEE international conference on (ICASSP)}, year = 2017, doi = {10.1109/ICASSP.2017.7952570}, entrysubtype = "conference", } @InProceedings{bonnevie2017mlsp, pdf = "papers/bonnevie2017mlsp.pdf", author = {Rasmus Bonnevie and Morten M{\o}rup and Mikkel N. Schmidt}, title = {Difference-Of-Convex Optimization For Variational KL-Corrected Inference In Dirichlet Process Mixtures}, year = 2017, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, doi = {10.1109/MLSP.2017.8168159}, entrysubtype = "conference" } @InProceedings{røge2017prni, pdf = "papers/roge2017prni.pdf", author = {Rasmus R{\o}ge and Karen Sand{\o} Ambrosen and Kristoffer Jon Albers and Casper Tabassum Eriksen and Matthew George Liptrot and Mikkel N. Schmidt and Kristoffer Hougaard Madsen and Morten M{\o}rup }, title = {Whole brain functional connectivity predicted by indirect structural connections}, booktitle = {Pattern Recognition in NeuroImaging (PRNI)}, year = 2017, doi = {10.1109/PRNI.2017.7981496}, entrysubtype = "conference", } @InProceedings{alstrom2017icassp, pdf = "papers/alstrom2017icassp.pdf", author = {Tommy S. Alstr{\o}m and Mikkel N. Schmidt and Tomas Rindzevicius and Anja Boisen and Jan Larsen}, title = {A pseudo-Voigt component model for high-resolution recovery of constituent spectra in raman spectroscopy}, booktitle = {Acoustics, speech and signal processing, IEEE international conference on (ICASSP)}, year = 2017, doi = {10.1109/ICASSP.2017.7952570}, entrysubtype = "conference", } @inproceedings{herlau2016nips, pdf = "papers/herlau2016nips.pdf", author = {Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Completely random measures for modelling block-structured sparse networks}, booktitle = {Advances in neural information processing (NIPS)}, year = 2016, entrysubtype = "conference", } @InProceedings{albers2016mlsp, pdf = "papers/albers2016mlsp.pdf", author = {Kristoffer J. Albers and Morten M{\o}rup and Mikkel N. Schmidt}, title = {The influence of hyper-parameters in the infinite relational model}, year = 2016, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, doi = {10.1109/MLSP.2016.7738908}, entrysubtype = "conference" } @InProceedings{jorgensen2016mlsp, pdf = "papers/jorgensen2016mlsp.pdf", author = {Philip H. J{\o}rgensen and Morten M{\o}rup and Mikkel N. Schmidt and Tue Herlau}, title = {Bayesian latent feature modeling for modeling bipartite networks with overlapping groups}, year = 2016, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, doi = {10.1109/MLSP.2016.7738845}, entrysubtype = "conference" } @InProceedings{roge2015mlsp, pdf = "papers/roge2015mlsp.pdf", author = {Rasmus E. R{\o}ge and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Unsupervised segmentation of task activated regions in FMRI}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2015, doi = {10.1109/MLSP.2015.7324384}, entrysubtype = "conference" } @InProceedings{schmidt2015eusipco, pdf = "papers/schmidt2015eusipco.pdf", author = {Mikkel N. Schmidt and Kristoffer Jon Albers}, title = {Numerical approximations for speeding up MCMC inference in the infinite relational model}, booktitle = {European Signal Processing Conference (EUSIPCO)}, year = 2015, doi = {10.1109/EUSIPCO.2015.7362891}, entrysubtype = "conference" } @InProceedings{ambrosen2014prni, pdf = "papers/ambrosen2014prni.pdf", author = {Karen Sand{\o} Ambrosen and Kristoffer Jon Albers and Tim Dyrby and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Nonparametric Bayesian Clustering of Structural Whole Brain Connectivity in Full Resolution}, booktitle = {Pattern Recognition in NeuroImaging (PRNI)}, year = 2014, doi = {10.1109/PRNI.2014.6858507}, entrysubtype = "conference", } @InProceedings{morup2014mlsp, pdf = "papers/morup2014mlsp.pdf", author = {Morten M{\o}rup and Fumiko K. Gl{\"u}ckstad and Tue Herlau and Mikkel N. Schmidt}, title = {Nonparametric Statistical Structuring of Knowledge Systems using Binary Feature Matches}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2014, doi = {10.1109/MLSP.2014.6958905}, entrysubtype = "conference" } @InProceedings{alstrom2014mlsp, pdf = "papers/alstrom2014mlsp.pdf", author = {Tommy S. Alstr{\o}m and Kasper B. Fr{\o}hling and Jan Larsen and Mikkel N. Schmidt and Michael Bache and Michael S. Schmidt and Mogens H. Jakobsen and Anja Boisen}, title = {Improving the Robustness of Surface Enhanced Raman Spectroscopy based Sensors by Bayesian Non-negative Matrix Factorization}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2014, doi = {10.1109/MLSP.2014.6958925}, entrysubtype = "conference" } @inproceedings{schmidt2014cip, pdf = "papers/schmidt2014cip.pdf", author = {Mikkel N. Schmidt and Tue Herlau and Morten M{\o}rup }, title = {Discovering hierarchical structure in normal relational data}, booktitle = {Cognitive Information Processing (CIP)}, year = 2014, doi = {10.1109/CIP.2014.6844498}, entrysubtype = "conference" } @inproceedings{gluckstad2013sitis, pdf = "papers/gluckstad2013sitis.pdf", author = {Fumiko K. Gl{\"u}ckstad and Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization}, booktitle = {Signal Image Technology and Internet based Systems, International Conference on (SITIS)}, year = 2013, pages = "233--40", doi = {10.1109/SITIS.2013.48}, entrysubtype = "conference" } @inproceedings{gluckstad2013taai, pdf = "papers/gluckstad2013taai.pdf", author = {Fumiko K. Gl{\"u}ckstad and Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Analysis of Conceptualization Patterns across Groups of People}, booktitle = {Technologies and Applications of Artificial Intelligence, Conference on (TAAI)}, year = 2013, doi = {10.1109/TAAI.2013.75}, entrysubtype = "conference" } @inproceedings{albers2013mlsp, pdf = "papers/albers2013mlsp.pdf", author = {Kristoffer Jon Albers and Andreas Leon Aagaard Moth and Morten M{\o}rup and Mikkel N. Schmidt}, title = {Large scale inference in the infinite relational model: Gibbs sampling is not enough}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on (MLSP)}, year = 2013, doi = {10.1109/MLSP.2013.6661904}, entrysubtype = "conference" } @inproceedings{gluckstad2013jsai, pdf = "papers/gluckstad2013jsai.pdf", author = {Fumiko K. Gl{\"u}ckstad and Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Analysis of Subjective Conceptualizations Towards Collective Conceptual Modelling}, booktitle = {Japanese Society for Artificial Intelligence, Conference of the (JSAI)}, year = 2013, entrysubtype = "conference" } @inproceedings{ambrosen2013prni, pdf = "papers/ambrosen2013prni.pdf", author = {Karen Sand{\o} Ambrosen and Tue Herlau and Tim Dyrby and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Comparing Structural Brain Connectivity by the Infinite Relational Model}, booktitle = {Pattern Recognition in NeuroImaging (PRNI)}, year = 2013, pages = "50--53", doi = {10.1109/PRNI.2013.22}, entrysubtype = "conference" } @inproceedings{herlau2013icml, pdf = "papers/herlau2013icml.pdf", author = {Tue Herlau and Morten M{\o}rup and Mikkel N. Schmidt}, title = {Modeling Temporal Evolution and Multiscale Structure in Networks'', Machine Learning, International Conference on (ICML)}, year = 2013, pages = {960--968}, editor = {Sanjoy Dasgupta and David McAllester}, volume = {28}, number = {3}, series = {Proceedings of Machine Learning Research}, address = {Atlanta, Georgia, USA}, month = {June}, publisher = {PMLR}, entrysubtype = "conference" } @inproceedings{schmidt2012aes, pdf = "papers/schmidt2012aes.pdf", author = {Mikkel N. Schmidt and Stephen Schwartz and Jan Larsen}, title = {Interactive 3D audio: Enhancing awareness of details in immersive soundscapes?}, booktitle = {133rd Convention of the Audio Engineering Society}, year = 2012, url = {http://www.aes.org/e-lib/browse.cfm?elib=16522}, entrysubtype = "conference" } @inproceedings{alstrom2012mlsp, pdf = "papers/alstrom2012mlsp.pdf", author = {Tommy S. Alstr{\o}m and Bj{\o}rn S. Jensen and Mikkel N. Schmidt and Natalie V. Kostesha and Jan Larsen}, title = {Haussdorff and Hellinger for colorimetric sensor array classification}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on (MLSP)}, year = 2012, doi = {10.1109/MLSP.2012.6349724}, entrysubtype = "conference" } @inproceedings{herlau2013mlsp, pdf = "papers/herlau2012mlsp.pdf", author = {Tue Herlau and Morten M{\o}rup and Mikkel N. Schmidt and Lars Kai Hansen}, title = {Modeling dense relational data}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on (MLSP)}, year = 2012, doi = {10.1109/MLSP.2012.6349747}, entrysubtype = "conference" } @inproceedings{zibar2012ecoc, author = {Darko Zibar and Ole Winther and Niccolo Franceschi and Robert Borkowski and tonio Caballero and Valeria Arlunno, Mikkel N. Schmidt and Neil Guerrero Gonzales and Bangning Mao and Knud J. Larsen and Idelfonso Tafur Monroy}, title = {Nonlinear Impairment Compensation Using Expectation Maximization for PDM 16-QAM Systems}, booktitle = {European Conference on Optical Communications (ECOC)}, year = 2012, doi = "10.1364/OE.20.00B18", entrysubtype = "conference" } @inproceedings{herlau2012cip, pdf = "papers/herlau2012cip.pdf", author = {Tue Herlau and Morten M{\o}rup and Mikkel N. Schmidt and Lars Kai Hansen}, title = {Detecting hierarchical structure in networks}, booktitle = {Cognitive Information Processing (CIP)}, year = 2012, doi = {10.1109/CIP.2012.6232913}, entrysubtype = "conference" } @inproceedings{morup2011mlspa, pdf = "papers/morup2011mlspa.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt}, title = {Transformation invariant sparse coding}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on (MLSP)}, year = 2011, doi = {10.1109/MLSP.2011.6064547}, entrysubtype = "conference" } @inproceedings{morup2011mlspb, pdf = "papers/morup2011mlspb.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt and Lars Kai Hansen}, title = {Infinite multiple membership relational modeling for complex networks}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on (MLSP)}, year = 2011, doi = {10.1109/MLSP.2011.6064546}, entrysubtype = "conference" } @inproceedings{schmidt2010eusipco, pdf = "papers/schmidt2010eusipco.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Infinite non-negative matrix factorization}, booktitle = {European Signal Processing Conference (EUSIPCO)}, year = 2010, entrysubtype = "conference" } @inproceedings{schmidt2009nips, pdf = "papers/schmidt2009nips.pdf", author = {Mikkel N. Schmidt}, title = {Linearly constrained matrix factorization for blind source separation}, booktitle = {Advances in neural information processing (NIPS)}, year = 2009, entrysubtype = "conference" } @inproceedings{schmidt2009eusipco, pdf = "papers/schmidt2009eusipco.pdf", author = {Mikkel N. Schmidt and Shakir Mohamed}, title = {Probabilistic non-negative tensor factorization using Markov chain Monte Carlo}, booktitle = {European Signal Processing Conference (EUSIPCO)}, year = 2009, entrysubtype = "conference" } @inproceedings{schmidt2009icml, pdf = "papers/schmidt2009icml.pdf", author = {Mikkel N. Schmidt}, title = {Function factorization using warped Gaussian processes}, booktitle = {Machine Learning, International Conference on (ICML)}, year = 2009, entrysubtype = "conference" } @inproceedings{schmidt2009ica, pdf = "papers/schmidt2009ica.pdf", author = {Mikkel N. Schmidt and Ole Winther and Lars Kai Hansen}, title = {Bayesian non-negative matrix factorization}, booktitle = {Independent Component Analysis and Signal Separation, International Conference on (ICA), Springer Lecture Notes in Computer Science, Vol. 5441}, year = 2009, pages = "540-547", doi = {10.1007/978-3-642-00599-2_68}, entrysubtype = "conference" } @inproceedings{arngren2009mlsp, pdf = "papers/arngren2009mlsp.pdf", author = {Morten Arngren and Mikkel N. Schmidt and Jan Larsen}, title = {Bayesian nonnegative matrix factorization with volume prior for unmixing of hyperspectral images}, booktitle = {Machine Learning for Signal Processing, IEEE Workshop on (MLSP)}, year = 2009, doi = {10.1109/MLSP.2009.5306262}, entrysubtype = "conference" } @inproceedings{laurberg2008asilomar, pdf = "papers/laurberg2008asilomar.pdf", author = {Hans Laurberg and Mikkel N. Schmidt and Mads G. Christensen and S{\o}ren H. Jensen}, title = {Structured non-negative matrix factorization with sparsity patterns}, booktitle = {Signals, Systems and Computers, Asilomar Conference on}, year = 2008, doi = {10.1109/ACSSC.2008.5074714}, entrysubtype = "conference" } @inproceedings{schmidt2008mlsp, pdf = "papers/schmidt2008mlsp.pdf", author = {Mikkel N. Schmidt and Jan Larsen}, title = {Reduction of Non-stationary Noise using a Non-negative Latent Variable Decomposition}, booktitle = { Machine Learning for Signal Processing, IEEE Workshop on (MLSP)}, year = 2008, pages = "486-491", doi = "10.1109/MLSP.2008.4685528", entrysubtype = "conference" } @inproceedings{schmidt2007waspaa, pdf = "papers/schmidt2007waspaa.pdf", author = {Mikkel N. Schmidt and Rasmus K. Olsson}, title = {Linear Regression on Sparse Features for Single-Channel Speech Separation}, booktitle = {Applications of Signal Processing to Audio and Acoustics, IEEE Workshop on (WASPAA)}, year = 2007, pages = "26--29", doi = {10.1109/ASPAA.2007.4393010}, entrysubtype = "conference" } @inproceedings{schmidt2007mlsp, pdf = "papers/schmidt2007mlsp.pdf", author = {Mikkel N. Schmidt and Jan Larsen and Fu-Tien Hsiao}, title = {Wind Noise Reduction using Non-negative Sparse Coding}, booktitle = {Machine Learning for Signal Processing, IEEE International Workshop on, (MLSP)}, year = 2007, pages = "431-436", doi = "10.1109/MLSP.2007.4414345", entrysubtype = "conference" } @inproceedings{schmidt2006interspeech, pdf = "papers/schmidt2006interspeech.pdf", author = {Mikkel N. Schmidt and Rasmus K. Olsson}, title = {Single-Channel Speech Separation using Sparse Non-Negative Matrix Factorization}, booktitle = {International Conference on Spoken Language Processing, (Interspeech)}, year = 2006, pages = "1652--55", entrysubtype = "conference" } @inproceedings{schmidt2006ica, pdf = "papers/schmidt2006ica.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Non-negative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation}, booktitle = {Independent Component Analysis, International Conference on (ICA), Springer Lecture Notes in Computer Science, Vol.3889}, year = 2006, pages = "700-707", doi = {10.1007/11679363_87}, entrysubtype = "conference" } %------------------------------------------------------------------------ %Abstracts %------------------------------------------------------------------------ @InProceedings{jorgensen2019mlps, pdf = "papers/jorgensen2019mlps.pdf", author = {Philip H. J{\o}rgensen and S{\o}ren F. V. Nielsen and Jesper L. Hinrich and Mikkel N. Schmidt and Kristoffer H. Madsen and Morten M{\o}rup}, title = {Analysis of Chromatographic Data using the Probabilistic PARAFAC2}, booktitle = {Machine Learning and the Physical Sciences, NeurIPS Workshop on}, year = 2019, entrysubtype = "abstract", } @InProceedings{gluckstad2018gmc, pdf = "papers/gluckstad2018gmc.pdf", author = {Fumiko K. Gl{\"u}ckstad and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Testing a model of destination image formation: Application of nonparametric Bayesian relational modeling to destination image analysis}, booktitle = {Global Marketing Conference at Tokyo}, year = 2018, pages = {63--64}, month = {July}, doi = {10.15444/GMC2018.01.07.02}, entrysubtype = "abstract", } @inproceedings{nielsen2015mlini, pdf = "papers/nielsen2015mlini.pdf", author = {S{\o}ren F{\o}ns Vind Nielsen and Kristoffer Hougaard Madsen and Rasmus R{\o}ge and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Nonparametric modeling of dynamic functional connectivity in fMRI data}, booktitle = {Machine Learning and Interpretation in Neuroimaging, NIPS Workshop on (MLINI)}, year = 2015, entrysubtype = "abstract" } @inproceedings{frohling2015icavs, pdf = "papers/frohling2015icavs.pdf", author = {Kasper B. Fr{\o}hling and Tommy S. Alstr{\o}m and Michael Bache and Michael S. Schmidt and Mikkel N. Schmidt and Jan larsen and Mogens H. Jakobsen and Anja Boisen}, title = {Statistical analysis of large areas of Raman mapped DNA functionalized gold coated silicon nanopillar SERS substrates}, booktitle = {Advanced Vibrational Spectroscopym, International Conference on (ICAVS)}, year = 2015, entrysubtype = "abstract" } @inproceedings{andersen2014hbm, pdf = "papers/andersen2014hbm.pdf", author = {Kasper Winther Andersen and Kristoffer H. Madsen and Hartwig Roman Siebner and Mikkel N. Schmidt and Morten M{\o}rup and Lars Kai Hansen}, title = {Community structure in resting state complex networks}, booktitle = {Human Brain Mapping}, year = 2014, entrysubtype = "abstract" } @inproceedings{herlau2013netsci, pdf = "papers/herlau2013netsci.pdf", author = {Tue Herlau and Morten M{\o}rup and Mikkel N. Schmidt}, title = {Temporally Evolving Hierarchies in Networks}, booktitle = {NetSci}, year = 2013, entrysubtype = "abstract" } @inproceedings{andersen2012in, pdf = "papers/andersen2012in.pdf", author = {Kasper Winther Andersen and Tue Herlau and Morten M{\o}rup and Mikkel N. Schmidt and Kristoffer H. Madsen, Mark Lyksborg and Tim Dyrby and Hartwig Siebner and Lars Kai Hansen}, title = {Joint Modelling of Structural and Functional Brain Networks}, booktitle = {NIPS workshop on Machine Learning and Interpretation in Neuroimaging}, year = 2012, entrysubtype = "abstract" } @inproceedings{lehmann2012netsci, pdf = "papers/lehmann2012netsci.pdf", author = {Sune Lehmann and Morten M{\o}rup and Mikkel N. Schmidt}, title = {A Bayesian Generative Model for Pervasive Overlap}, booktitle = {NetSci}, year = 2012, entrysubtype = "abstract" } @inproceedings{morup2011bnhh, pdf = "papers/morup2011bnhh.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt}, title = {Efficient inference in the infinite multiple membership relational model}, booktitle = {NIPS workshop on Bayesian nonparametric: Hope or hype}, year = 2011, entrysubtype = "abstract" } @inproceedings{schmidt2011bnhh, pdf = "papers/schmidt2011bnhh.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup and Tue Herlau}, title = {Hierarchical models of complex networks}, booktitle = {NIPS workshop on Bayesian nonparametric: Hope or hype}, year = 2011, entrysubtype = "abstract" } @inproceedings{morup2010nad, pdf = "papers/morup2010nad.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt and Lars Kai Hansen}, title = {Infinite multiple membership relational modeling for complex networks}, booktitle = {NIPS workshop on Networks across diciplines in theory and applications}, year = 2010, entrysubtype = "abstract" } @inproceedings{schmidt2010mcbi, pdf = "papers/schmidt2010mcbi.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Reversible jump MCMC for Bayesian NMF}, booktitle = {NIPS workshop on Monte Carlo methods for Bayesian inference in modern day applications}, year = 2010, entrysubtype = "abstract" } %------------------------------------------------------------------------ %Theses %------------------------------------------------------------------------ @PhdThesis{schmidt2008phd, pdf = "papers/schmidt2008phd.pdf", author = {Mikkel N. Schmidt}, title = {Single-channel source separation using non-negative matrix factorization}, school = {Technical University of Denmark}, year = 2008, entrysubtype = "thesis" } @MastersThesis{schmidt2003masters, pdf = "papers/schmidt2003masters.pdf", author = {Mikkel N. Schmidt and Jens Seiersen}, title = {Perceptual unitary ESPRIT algorithm}, school = {Aalborg University}, year = 2003, entrysubtype = "thesis" } %------------------------------------------------------------------------ %Technical reports %------------------------------------------------------------------------ @unpublished{schmidt2007a, pdf = "papers/schmidt2007a.pdf", author = {Mikkel N. Schmidt}, title = {Speech Separation using Non-negative Features and Sparse Non-negative Matrix Factorization 2007}, entrysubtype = "techreport", } @Unpublished{schmidt2007b, pdf = "papers/schmidt2007b.pdf", author = {Mikkel N. Schmidt and Rasmus K. Olsson}, title = {Feature Space Reconstruction for Single-Channel Speech Separation}, entrysubtype = "techreport" } @Unpublished{morup2006a, pdf = "papers/morup2006a.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt}, title = {Sparse Non-negative Tensor 2D Deconvolution (SNTF2D) for multi channel time-frequency analysis}, entrysubtype = "techreport" } @Unpublished{morup2006b, pdf = "papers/morup2006b.pdf", author = {Morten M{\o}rup and Mikkel N. Schmidt}, title = {Sparse Non-negative Matrix Factor 2-D Deconvolution}, entrysubtype = "techreport" } @Unpublished{schmidt2006a, pdf = "papers/schmidt2006a.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup}, title = {Sparse Non-negative Matrix Factor 2-D Deconvolution for Automatic Transcription of Polyphonic Music}, entrysubtype = "techreport" } %------------------------------------------------------------------------ %In submission / unpublished %------------------------------------------------------------------------ @unpublished{albers2017b, author = {Kristoffer J. Albers and Morten M{\o}rup and Mikkel N. Schmidt}, title = {Local modes in the posterior distribution of {D}irichlet process mixture models}, year = 2017, entrysubtype = "insubmission" } @unpublished{albers2017a, author = {Kristoffer Jon Albers and Karen Sand{\o} Ambrossen and Rasmus R{\o}ge and Matthew G. Liptrot and Tue Herlau and Kasper Winther Andersen and Hartwig R. Siebner and Lars Kai Hansen and Tim B. Dyrby and Kristoffer H. Madsen and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Functional Whole-Brain Parcellation Improved by the Inclusion of Structural Connectivity}, year = 2017, entrysubtype = "insubmission" } @unpublished{albers2017sage, author = {Kristoffer Jon Albers and Morten M{\o}rup and Mikkel N. Schmidt and Fumiko K. Gl{\"u}ckstad}, title = {Predictive evaluation of human value segmentations}, year = 2017, entrysubtype = "insubmission" } @unpublished{herlau2014, author = {Tue Herlau and Morten M{\o}rup and Yee Whye Teh and Mikkel N. Schmidt}, title = {Adaptive Reconfiguration Moves for Efficient {M}arkov Chain Sampling}, year = 2014, url = {http://arxiv.org/abs/1406.0071}, entrysubtype = "insubmission" } @unpublished{herlau2013nips, pdf = "papers/herlau2013nips.pdf", author = {Tue Herlau and Mikkel N. Schmidt and Morten M{\o}rup}, title = {Bayesian Dropout}, year = 2013, url = {http://arxiv.org/abs/1508.02905}, entrysubtype = "insubmission" } @unpublished{schmidt2012tpami, pdf = "papers/schmidt2012tpami.pdf", author = {Mikkel N. Schmidt and Morten M{\o}rup and Tue Herlau}, title = {Nonparametric Bayesian models of hierarchical structure in complex networks}, year = 2012, url = {http://arxiv.org/abs/1311.1033}, entrysubtype = "insubmission" } unpublished{schmidt2011pre, author = {Mikkel N. Schmidt and Morten M{\o}rup and Tue Herlau}, title = {A unifying view on information theoretic and Bayesian models for community structure in complex networks}, year = 2011, entrysubtype = "insubmission" } unpublished{toft2011jcm, author = {Mette Helene Toft and Rasmus Gr{\o}nbek Haahr and Sune Dunn and Nanna Gulstad and Mikkel N. Schmidt and Erik Vilain Thomsen and Jan Larsen and Bo Belhage}, title = {Monitoring respiratory rate using reflectance photoplethysmography at the sternum}, booktitle = {(submitted to) to Journal of Clinical Monitoring}, year = 2011, entrysubtype = "insubmission" }