Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation. - Mikkel N. Schmidt; Morten Mørup (ICA, 2006)

Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. - Morten Mørup; Lars Kai Hansen; Christoph S. Herrmann; Josef Parnas; Sidse Marie Arnfred (NeuroImage, 2006)

Shifted Independent Component Analysis. - Morten Mørup; Kristoffer Hougaard Madsen; Lars Kai Hansen (ICA, 2007)

Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. - Peter Mondrup Rasmussen; Morten Mørup; Lars Kai Hansen; Sidse Marie Arnfred (BIOSIGNALS (2), 2008)

Approximate L0 constrained non-negative matrix and tensor factorization. - Morten Mørup; Kristoffer Hougaard Madsen; Lars Kai Hansen (ISCAS, 2008)

Advances in Nonnegative Matrix and Tensor Factorization. - Andrzej Cichocki; Morten Mørup; Paris Smaragdis; Wenwu Wang 001; Rafal Zdunek (Comput. Intell. Neurosci., 2008)

Algorithms for Sparse Nonnegative Tucker Decompositions. - Morten Mørup; Lars Kai Hansen; Sidse Marie Arnfred (Neural Comput., 2008)

Shift-invariant multilinear decomposition of neuroimaging data. - Morten Mørup; Lars Kai Hansen; Sidse Marie Arnfred; Lek-Heng Lim; Kristoffer Hougaard Madsen (NeuroImage, 2008)

Decomposition methods for unsupervised learning. - Morten Mørup (2008)

Tuning pruning in sparse non-negative matrix factorization. - Morten Mørup; Lars Kai Hansen (EUSIPCO, 2009)

Sofomore: Combined EEG Source and Forward Model Reconstruction. - Carsten Stahlhut; Morten Mørup; Ole Winther; Lars Kai Hansen (ISBI, 2009)

Efficient Multiplicative Updates for Support Vector Machines. - Vamsi K. Potluru; Sergey M. Plis; Morten Mørup; Vincent D. Calhoun; Terran Lane (SDM, 2009)

Multiplicative updates For Non-Negative Kernel SVM - Vamsi K. Potluru; Sergey M. Plis; Morten Mørup; Vince D. Calhoun; Terran Lane (CoRR, 2009)

Latent semantics as cognitive components. - Michael Kai Petersen; Morten Mørup; Lars Kai Hansen (CIP, 2010)

Infinite non-negative matrix factorization. - Mikkel N. Schmidt; Morten Mørup (EUSIPCO, 2010)

Infinite Relational Modeling of Functional Connectivity in Resting State fMRI. - Morten Mørup; Kristoffer Hougaard Madsen; Anne-Marie Dogonowski; Hartwig R. Siebner; Lars Kai Hansen (NIPS, 2010)

Scalable Tensor Factorizations with Missing Data. - Evrim Acar; Daniel M. Dunlavy; Tamara G. Kolda; Morten Mørup (SDM, 2010)

Scalable Tensor Factorizations for Incomplete Data - Evrim Acar; Tamara G. Kolda; Daniel M. Dunlavy; Morten Mørup (CoRR, 2010)

Semi-Supervised Kernel PCA - Christian Walder; Ricardo Henao; Morten Mørup; Lars Kai Hansen (CoRR, 2010)

Session MP7a: Processing of physiological signals. - Nuri Firat Ince; Morten Mørup (ACSCC, 2011)

Frequency constrained ShiftCP modeling of neuroimaging data. - Morten Mørup; Lars Kai Hansen; Kristoffer Hougaard Madsen (ACSCC, 2011)

Modeling latency and shape changes in trial based neuroimaging data. - Morten Mørup; Lars Kai Hansen; Kristoffer Hougaard Madsen (ACSCC, 2011)

Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. - Toke Jansen Hansen; Morten Mørup; Lars Kai Hansen (MLSP, 2011)

Transformation invariant sparse coding. - Morten Mørup; Mikkel N. Schmidt (MLSP, 2011)

Infinite multiple membership relational modeling for complex networks. - Morten Mørup; Mikkel N. Schmidt; Lars Kai Hansen (MLSP, 2011)

Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling. - Kasper Winther Andersen; Kristoffer Hougaard Madsen; Hartwig R. Siebner; Lars Kai Hansen; Morten Mørup (MLINI, 2011)

Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach. - Carsten Stahlhut; Morten Mørup; Ole Winther; Lars Kai Hansen (J. Signal Process. Syst., 2011)

Applications of tensor (multiway array) factorizations and decompositions in data mining. - Morten Mørup (WIREs Data Mining Knowl. Discov., 2011)

Detecting hierarchical structure in networks. - Tue Herlau; Morten Mørup; Mikkel N. Schmidt; Lars Kai Hansen (CIP, 2012)

Identifying modular relations in complex brain networks. - Kasper Winther Andersen; Morten Mørup; Hartwig R. Siebner; Kristoffer Hougaard Madsen; Lars Kai Hansen (MLSP, 2012)

Modelling dense relational data. - Tue Herlau; Morten Mørup; Mikkel N. Schmidt; Lars Kai Hansen (MLSP, 2012)

Link prediction in weighted networks. - David Kofoed Wind; Morten Mørup (MLSP, 2012)

Archetypal analysis for machine learning and data mining. - Morten Mørup; Lars Kai Hansen (Neurocomputing, 2012)

A Bayesian Analysis of the Radioactive Releases of Fukushima. - Ryota Tomioka; Morten Mørup (AISTATS, 2012)

Bayesian Community Detection. - Morten Mørup; Mikkel N. Schmidt (Neural Comput., 2012)

Modeling Temporal Evolution and Multiscale Structure in Networks. - Tue Herlau; Morten Mørup; Mikkel N. Schmidt (ICML (3), 2013)

Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough. - Kristoffer Jon Albers; Andreas Leon Aagaard Moth; Morten Mørup; Mikkel N. Schmidt (MLSP, 2013)

Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior. - Jakob Eg Larsen; Piotr Sapiezynski; Arkadiusz Stopczynski; Morten Mørup; Rasmus Theodorsen (PDM@ACM Multimedia, 2013)

Comparing Structural Brain Connectivity by the Infinite Relational Model. - Karen Sandø Ambrosen; Tue Herlau; Tim B. Dyrby; Mikkel N. Schmidt; Morten Mørup (PRNI, 2013)

Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization. - Fumiko Kano Glückstad; Tue Herlau; Mikkel N. Schmidt; Morten Mørup (SITIS, 2013)

Analysis of Conceptualization Patterns across Groups of People. - Fumiko Kano Glückstad; Tue Herlau; Mikkel N. Schmidt; Morten Mørup; Rafal Rzepka; Kenji Araki (TAAI, 2013)

Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways. - Juliane Charlotte Thøgersen; Morten Mørup; Søren Damkiær; Søren Molin; Lars Jelsbak (BMC Bioinform., 2013)

Nonparametric Bayesian Modeling of Complex Networks: An Introduction. - Mikkel N. Schmidt; Morten Mørup (IEEE Signal Process. Mag., 2013)

Discovering hierarchical structure in normal relational data. - Mikkel N. Schmidt; Tue Herlau; Morten Mørup (CIP, 2014)

Nonparametric statistical structuring of knowledge systems using binary feature matches. - Morten Mørup; Fumiko Kano Glückstad; Tue Herlau; Mikkel N. Schmidt (MLSP, 2014)

Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain. - Søren Føns Vind Nielsen; Morten Mørup (MLSP, 2014)

Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution. - Karen Sandø Ambrosen; Kristoffer Jon Albers; Tim B. Dyrby; Mikkel N. Schmidt; Morten Mørup (PRNI, 2014)

Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links. - Fumiko Kano Glückstad; Tue Herlau; Mikkel N. Schmidt; Morten Mørup (Artif. Intell. Law, 2014)

Errata to "Bayesian Community Detection" (Neural Computation, Sept. 2012 , Vol. 24, No. 9: 2434-2456). - Morten Mørup; Mikkel N. Schmidt (Neural Comput., 2014)

Non-parametric Bayesian graph models reveal community structure in resting state fMRI. - Kasper Winther Andersen; Kristoffer Hougaard Madsen; Hartwig Roman Siebner; Mikkel N. Schmidt; Morten Mørup; Lars Kai Hansen (NeuroImage, 2014)

Unsupervised segmentation of task activated regions in fMRI. - Rasmus Erbou Røge; Kristoffer Hougaard Madsen; Mikkel N. Schmidt; Morten Mørup (MLSP, 2015)

Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. - Vincent Beliveau; Georgios Papoutsakis; Jesper Løve Hinrich; Morten Mørup (MCV/BAMBI@MICCAI, 2016)

The influence of hyper-parameters in the infinite relational model. - Kristoffer Jon Albers; Morten Mørup; Mikkel N. Schmidt (MLSP, 2016)

Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. - Philip H. Jørgensen; Morten Mørup; Mikkel N. Schmidt; Tue Herlau (MLSP, 2016)

Completely random measures for modelling block-structured sparse networks. - Tue Herlau; Mikkel N. Schmidt; Morten Mørup (NIPS, 2016)

Independent vector analysis for capturing common components in fMRI group analysis. - Astrid M. E. Engberg; Kasper Winther Andersen; Morten Mørup; Kristoffer Hougaard Madsen (PRNI, 2016)

Variational group-PCA for intrinsic dimensionality determination in fMRI data. - Jesper Løve Hinrich; Søren Føns Vind Nielsen; Kristoffer Hougaard Madsen; Morten Mørup (PRNI, 2016)

Archetypal Analysis for Modeling Multisubject fMRI Data. - Jesper Løve Hinrich; Sophia Elizabeth Bardenfleth; Rasmus Erbou Røge; Nathan William Churchill; Kristoffer Hougaard Madsen; Morten Mørup (IEEE J. Sel. Top. Signal Process., 2016)

The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI. - Nathan William Churchill; Kristoffer Hougaard Madsen; Morten Mørup (Neural Comput., 2016)

A deep learning approach to adherence detection for type 2 diabetics. - Ali Mohebbi 001; Tinna B. Aradottir; Alexander Rosenberg Johansen; Henrik Bengtsson; Marco Fraccaro; Morten Mørup (EMBC, 2017)

Scalable group level probabilistic sparse factor analysis. - 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 (ICASSP, 2017)

Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. - Rasmus Bonnevie; Mikkel N. Schmidt; Morten Mørup (MLSP, 2017)

Modeling dynamic functional connectivity using a wishart mixture model. - Søren Føns Vind Nielsen; Kristoffer Hougaard Madsen; Mikkel N. Schmidt; Morten Mørup (PRNI, 2017)

Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data. - Rasmus Erbou Røge; Kristoffer Hougaard Madsen; Mikkel N. Schmidt; Morten Mørup (Neural Comput., 2017)

The missing link: Predicting connectomes from noisy and partially observed tract tracing data. - Max Hinne; Annet Meijers; Rembrandt Bakker; Paul H. E. Tiesinga; Morten Mørup; Marcel A. J. van Gerven (PLoS Comput. Biol., 2017)

Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform. - Kristoffer Jon Albers; Mikkel N. Schmidt; Morten Mørup; Marisciel Litong-Palima; Rasmus Bonnevie; Fumiko Kano Glückstad (COMPSAC (2), 2018)

Probabilistic Sparse Non-negative Matrix Factorization. - Jesper Løve Hinrich; Morten Mørup (LVA/ICA, 2018)

Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. - Søren Føns Vind Nielsen; Yuri Levin-Schwartz; Diego Vidaurre; Tülay Adali; Vince D. Calhoun; Kristoffer Hougaard Madsen; Lars Kai Hansen; Morten Mørup (ICASSP, 2018)

Variational Bayesian Partially observed non-Negative Tensor Factorization. - Jesper Løve Hinrich; Søren Føns Vind Nielsen; Kristoffer Hougaard Madsen; Morten Mørup (MLSP, 2018)

Testing group differences in state transition structure of dynamic functional connectivity models. - Søren Føns Vind Nielsen; Diego Vidaurre; Kristoffer Hougaard Madsen; Mikkel N. Schmidt; Morten Mørup (PRNI, 2018)

Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures. - Laura Frølich; Tobias Søren Andersen; Morten Mørup (BMC Bioinform., 2018)

Predictive assessment of models for dynamic functional connectivity. - Søren Føns Vind Nielsen; Mikkel N. Schmidt; Kristoffer Henriksen; Morten Mørup (NeuroImage, 2018)

Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data. - Ali Mohebbi 001; Jens Magelund Tarp; Morten Lind Jensen; Sadasivan Puthusserypady; Elise Hachmann-Nielsen; Henrik Bengtsson; Morten Mørup (EMBC, 2019)

Probabilistic Tensor Train Decomposition. - Jesper Løve Hinrich; Morten Mørup (EUSIPCO, 2019)

Temporally intermittent communities in brain fMRI correlation networks. - Ulf Aslak; Søren Føns Vind Nielsen; Morten Mørup; Sune Lehmann (Appl. Netw. Sci., 2019)

Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. - Ali Mohebbi 001; Alexander Rosenberg Johansen; Nicklas Hansen 002; Peter Ebert Christensen; Jens Magelund Tarp; Morten Lind Jensen; Henrik Bengtsson; Morten Mørup (EMBC, 2020)

Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids. - Maciej Korzepa; Michael Kai Petersen; Jakob Eg Larsen; Morten Mørup (UMAP (Adjunct Publication), 2020)

The probabilistic tensor decomposition toolbox. - Jesper Løve Hinrich; Kristoffer H. Madsen; Morten Mørup (Mach. Learn. Sci. Technol., 2020)

Validation of structural brain connectivity networks: The impact of scanning parameters. - Karen Sandø Ambrosen; Simon F. Eskildsen; Max Hinne; Kristine Krug; Henrik Lundell; Mikkel N. Schmidt; Marcel A. J. van Gerven; Morten Mørup; Tim B. Dyrby (NeuroImage, 2020)

Early Glycemic Control Assessment Based on Consensus CGM Metrics*. - Ali Mohebbi 001; Anna-Katharina Böhm; Jens Magelund Tarp; Morten Lind Jensen; Henrik Bengtsson; Morten Mørup (EMBC, 2021)

Using connectomics for predictive assessment of brain parcellations. - Kristoffer Jon Albers; Karen Sandø Ambrosen; Matthew G. Liptrot; Tim B. Dyrby; Mikkel N. Schmidt; Morten Mørup (NeuroImage, 2021)

The Bayesian Cut. - Petr Taborsky; Laurent Vermue; Maciej Korzepa; Morten Mørup (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Bayesian dropout. - Tue Herlau; Mikkel N. Schmidt; Morten Mørup (ANT/EDI40, 2022)

HM-LDM: A Hybrid-Membership Latent Distance Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Morten Mørup (COMPLEX NETWORKS (1), 2022)

Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. - Abdulkadir Çelikkanat; Nikolaos Nakis; Morten Mørup (LoG, 2022)

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. - Nikolaos Nakis; Abdulkadir Çelikkanat; Sune Lehmann Jørgensen; Morten Mørup (CoRR, 2022)

Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects. - Anders S. Olsen; Anders Lykkebo-Valløe; Brice Ozenne; Martin K. Madsen; Dea S. Stenbæk; Sophia Armand; Morten Mørup; Melanie Ganz; Gitte Moos Knudsen; Patrick M. Fisher (NeuroImage, 2022)

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Louis Boucherie; Christian Djurhuus; Felix Burmester; Daniel Mathias Holmelund; Monika Frolcová; Morten Mørup (AISTATS, 2023)

Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task. - Anders S. Olsen; Emil Ortvald; Kristoffer H. Madsen; Mikkel N. Schmidt; Morten Mørup (ICASSP Workshops, 2023)

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. - Anders Vestergaard Nørskov; Alexander Neergaard Zahid; Morten Mørup (NeurIPS, 2023)

Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. - Jesper Løve Hinrich; Morten Mørup (CoRR, 2023)

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. - Nikolaos Nakis; Abdulkadir Çelikkanat; Morten Mørup (Adv. Complex Syst., 2023)

Continuous-Time Graph Representation with Sequential Survival Process. - Abdulkadir Çelikkanat; Nikolaos Nakis; Morten Mørup (AAAI, 2024)

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. - Nikolaos Nakis; Abdulkadir Çelikkanat; Louis Boucherie; Sune Lehmann; Morten Mørup (AISTATS, 2024)

Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators. - Kenny Falkær Olsen; Rasmus M. Hoeegh Lindrup; Morten Mørup (AISTATS, 2024)

Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models. - Javier García Ciudad; Morten Mørup; Birgitte Rahbek Kornum; Alexander Neergaard Zahid (EMBC, 2024)

Coupled Generator Decomposition for Fusion of Electro- and Magnetoencephalography Data. - Anders S. Olsen; Jesper Duemose Nielsen; Morten Mørup (EUSIPCO, 2024)

Modeling Human Responses by Ordinal Archetypal Analysis. - Anna Emilie J. Wedenborg; Michael Alexander Harborg; Andreas Bigom; Oliver Elmgreen; Marcus Presutti; Andreas Råskov; Fumiko Kano Glückstad; Mikkel N. Schmidt; Morten Mørup (MLSP, 2024)

Non-negative Tensor Mixture Learning for Discrete Density Estimation. - Kazu Ghalamkari; Jesper Løve Hinrich; Morten Mørup (CoRR, 2024)

Probabilistic Block Term Decomposition for the Modeling of Higher Order Arrays. - Jesper Løve Hinrich; Morten Mørup (Comput. Sci. Eng., 2024)

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. - Nikolaos Nakis; Abdulkadir Çelikkanat; Sune Lehmann; Morten Mørup (IEEE Trans. Knowl. Data Eng., 2024)

Probabilistic PARAFAC2. - Philip J. H. Jørgensen; Søren Føns Vind Nielsen; Jesper Løve Hinrich; Mikkel N. Schmidt; Kristoffer H. Madsen; Morten Mørup (Entropy, 2024)

SepMamba: State-Space Models for Speaker Separation Using Mamba. - Thor Højhus Avenstrup; Boldizsár Elek; István László Mádi; András Bence Schin; Morten Mørup; Bjørn Sand Jensen; Kenny Falkær Olsen (ICASSP, 2025)

Archetypal Analysis for Binary Data. - Anna Emilie J. Wedenborg; Morten Mørup (ICASSP, 2025)

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings. - Nikolaos Nakis; Niels Raunkjær Holm; Andreas Lyhne Fiehn; Morten Mørup (ICLR, 2025)

A Survey on Archetypal Analysis. - Aleix Alcacer; Irene Epifanio; Sebastian Mair 001; Morten Mørup (CoRR, 2025)

Knowing When to Quit: Probabilistic Early Exits for Speech Separation. - Kenny Falkær Olsen; Mads Østergaard; Karl Ulbæk; Søren Føns Vind Nielsen; Rasmus Malik Høegh Lindrup; Bjørn Sand Jensen; Morten Mørup (CoRR, 2025)

Modeling roles and trade-offs in multiplex networks. - Nikolaos Nakis; Sune Lehmann; Nicholas A. Christakis; Morten Mørup (CoRR, 2025)