Morten Mørup

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 58

Top Venues

Publications

Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. CoRR (2024)
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. AISTATS (2024)
Anders Stevnhoved Olsen, Jesper Duemose Nielsen, Morten Mørup
Coupled generator decomposition for fusion of electro- and magnetoencephalography data. CoRR (2024)
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. IEEE Trans. Knowl. Data Eng. 36 (4) (2024)
Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators. AISTATS (2024)
Javier García Ciudad, Morten Mørup, Birgitte Rahbek Kornum, Alexander Neergaard Zahid
Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models. CoRR (2024)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Continuous-Time Graph Representation with Sequential Survival Process. AAAI (2024)
Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
Non-negative Tensor Mixture Learning for Discrete Density Estimation. CoRR (2024)
Anders S. Olsen, Emil Ortvald, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup
Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task. ICASSP Workshops (2023)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. CoRR (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. CoRR (2023)
Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. CoRR (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. AISTATS (2023)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Continuous-time Graph Representation with Sequential Survival Process. CoRR (2023)
Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. NeurIPS (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. CoRR (2023)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. Adv. Complex Syst. 26 (3) (2023)
Tue Herlau, Mikkel N. Schmidt, Morten Mørup
Bayesian dropout. ANT/EDI40 (2022)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. LoG (2022)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
HM-LDM: A Hybrid-Membership Latent Distance Model. CoRR (2022)
Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
HM-LDM: A Hybrid-Membership Latent Distance Model. COMPLEX NETWORKS (1) (2022)
Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. CoRR (2022)
Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations. CoRR (2022)
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
Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects. NeuroImage 264 (2022)
Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Mørup
The Bayesian Cut. IEEE Trans. Pattern Anal. Mach. Intell. 43 (11) (2021)
Kristoffer Jon Albers, Karen Sando Ambrosen, Matthew G. Liptrot, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
Using connectomics for predictive assessment of brain parcellations. NeuroImage 238 (2021)
Ali Mohebbi, Anna-Katharina Böhm, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
. EMBC (2021)
Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup
The probabilistic tensor decomposition toolbox. Mach. Learn. Sci. Technol. 1 (2) (2020)
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)
Ali Mohebbi, Alexander R. Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. EMBC (2020)
Maciej Korzepa, Michael Kai Petersen, Jakob Eg Larsen, Morten Mørup
Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids. UMAP (Adjunct Publication) (2020)
Ali Mohebbi, Alexander R. Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. CoRR (2020)
Ulf Aslak, Søren Føns Vind Nielsen, Morten Mørup, Sune Lehmann
Temporally intermittent communities in brain fMRI correlation networks. Appl. Netw. Sci. 4 (1) (2019)
Ali Mohebbi, Jens Magelund Tarp, Morten Lind Jensen, Sadasivan Puthusserypady, Elise Hachmann-Nielsen, Henrik Bengtsson, Morten Mørup
Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data. EMBC (2019)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Tensor Train Decomposition. EUSIPCO (2019)
Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup
Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP (2018)
Jesper Løve Hinrich, Morten Mørup
Probabilistic Sparse Non-negative Matrix Factorization. LVA/ICA (2018)
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)
Søren Føns Vind Nielsen, Mikkel N. Schmidt, Kristoffer Henriksen, Morten Mørup
Predictive assessment of models for dynamic functional connectivity. NeuroImage 171 (2018)
Laura Frølich, Tobias Søren Andersen, Morten Mørup
Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures. BMC Bioinform. 19 (1) (2018)
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)
Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup
Probabilistic PARAFAC2. CoRR (2018)
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
Variational Bayesian Partially observed non-Negative Tensor Factorization. MLSP (2018)
Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
Modeling dynamic functional connectivity using a wishart mixture model. PRNI (2017)
Ali Mohebbi, Tinna B. Aradottir, Alexander R. Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup
A deep learning approach to adherence detection for type 2 diabetics. EMBC (2017)
Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup
Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. MLSP (2017)
Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven
The missing link: Predicting connectomes from noisy and partially observed tract tracing data. PLoS Comput. Biol. 13 (1) (2017)
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) (2017)
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)
Astrid M. E. Engberg, Kasper Winther Andersen, Morten Mørup, Kristoffer Hougaard Madsen
Independent vector analysis for capturing common components in fMRI group analysis. PRNI (2016)
Tue Herlau, Mikkel N. Schmidt, Morten Mørup
Completely random measures for modelling block-structured sparse networks. NIPS (2016)
Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt
The influence of hyper-parameters in the infinite relational model. MLSP (2016)
Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Roge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI. Neural Comput. 28 (10) (2016)
Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
Variational group-PCA for intrinsic dimensionality determination in fMRI data. PRNI (2016)
Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau
Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. MLSP (2016)
Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. MCV/BAMBI@MICCAI (2016)
Rasmus Erbou Roge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
Unsupervised segmentation of task activated regions in fMRI. MLSP (2015)
Mikkel N. Schmidt, Tue Herlau, Morten Mørup
Discovering hierarchical structure in normal relational data. CIP (2014)
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)
Morten Mørup, Mikkel N. Schmidt
, Sept. 2012 , Vol. 24, No. 9: 2434-2456). Neural Comput. 26 (6) (2014)
Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt
Nonparametric statistical structuring of knowledge systems using binary feature matches. MLSP (2014)
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 (2014)
Søren Føns Vind Nielsen, Morten Mørup
Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain. MLSP (2014)
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) (2014)
Mikkel N. Schmidt, Morten Mørup
Nonparametric Bayesian Modeling of Complex Networks: An Introduction. IEEE Signal Process. Mag. 30 (3) (2013)
Tue Herlau, Morten Mørup, Mikkel N. Schmidt
Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) (2013)
Karen Sando Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
Comparing Structural Brain Connectivity by the Infinite Relational Model. PRNI (2013)
Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen
Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior. CoRR (2013)
Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup
Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization. SITIS (2013)
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)
Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki
Analysis of Conceptualization Patterns across Groups of People. TAAI (2013)
Juliane Charlotte Thøgersen, Morten Mørup, Søren Damkiær, Søren Molin, Lars Jelsbak
Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways. BMC Bioinform. 14 (2013)
Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen
Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior. PDM@ACM Multimedia (2013)
Morten Mørup, Lars Kai Hansen
Archetypal analysis for machine learning and data mining. Neurocomputing 80 (2012)
Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
Modelling dense relational data. MLSP (2012)
David Kofoed Wind, Morten Mørup
Link prediction in weighted networks. MLSP (2012)
Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
Detecting hierarchical structure in networks. CIP (2012)
Kasper Winther Andersen, Morten Mørup, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Lars Kai Hansen
Identifying modular relations in complex brain networks. MLSP (2012)
Morten Mørup, Mikkel N. Schmidt
Bayesian Community Detection. Neural Comput. 24 (9) (2012)
Ryota Tomioka, Morten Mørup
A Bayesian Analysis of the Radioactive Releases of Fukushima. AISTATS (2012)
Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach. J. Signal Process. Syst. 65 (3) (2011)
Morten Mørup, Mikkel N. Schmidt
Transformation invariant sparse coding. MLSP (2011)
Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
Infinite Multiple Membership Relational Modeling for Complex Networks CoRR (2011)
Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Lars Kai Hansen, Morten Mørup
Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling. MLINI (2011)
Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
Frequency constrained ShiftCP modeling of neuroimaging data. ACSCC (2011)
Morten Mørup
Applications of tensor (multiway array) factorizations and decompositions in data mining. WIREs Data Mining Knowl. Discov. 1 (1) (2011)
Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen
Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. MLSP (2011)
Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
Infinite multiple membership relational modeling for complex networks. MLSP (2011)
Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
Modeling latency and shape changes in trial based neuroimaging data. ACSCC (2011)
Nuri Firat Ince, Morten Mørup
Session MP7a: Processing of physiological signals. ACSCC (2011)
Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
Scalable Tensor Factorizations for Incomplete Data CoRR (2010)
Michael Kai Petersen, Morten Mørup, Lars Kai Hansen
Latent semantics as cognitive components. CIP (2010)
Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
Scalable Tensor Factorizations with Missing Data. SDM (2010)
Mikkel N. Schmidt, Morten Mørup
Infinite non-negative matrix factorization. EUSIPCO (2010)
Morten Mørup, Kristoffer Hougaard Madsen, Anne-Marie Dogonowski, Hartwig R. Siebner, Lars Kai Hansen
Infinite Relational Modeling of Functional Connectivity in Resting State fMRI. NIPS (2010)
Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen
Semi-Supervised Kernel PCA CoRR (2010)
Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane
Efficient Multiplicative Updates for Support Vector Machines. SDM (2009)
Morten Mørup, Lars Kai Hansen
Tuning pruning in sparse non-negative matrix factorization. EUSIPCO (2009)
Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
Sofomore: Combined EEG Source and Forward Model Reconstruction. ISBI (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Morten Mørup