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Books and Theses
- 2008
[b1]Morten Mørup:
Decomposition methods for unsupervised learning. Technical University of Denmark, 2008
Journal Articles
- 2024
- [j28]Philip J. H. Jørgensen
, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer H. Madsen, Morten Mørup:
Probabilistic PARAFAC2. Entropy 26(8): 697 (2024) - [j27]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): 1399-1412 (2024) - 2023
- [j26]Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup:
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. Adv. Complex Syst. 26(3): 2340002:1-2340002:30 (2023) - 2022
- [j25]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: 119716 (2022) - 2021
- [j24]Kristoffer Jon Albers, Karen Sandø Ambrosen, Matthew G. Liptrot, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup:
Using connectomics for predictive assessment of brain parcellations. NeuroImage 238: 118170 (2021) - [j23]Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Mørup:
The Bayesian Cut. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4111-4124 (2021) - 2020
- [j22]Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup:
The probabilistic tensor decomposition toolbox. Mach. Learn. Sci. Technol. 1(2): 25011 (2020) - [j21]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:
Validation of structural brain connectivity networks: The impact of scanning parameters. NeuroImage 204 (2020) - 2019
- [j20]Ulf Aslak, Søren Føns Vind Nielsen, Morten Mørup, Sune Lehmann:
Temporally intermittent communities in brain fMRI correlation networks. Appl. Netw. Sci. 4(1): 65:1-65:12 (2019) - 2018
- [j19]Laura Frølich, Tobias Søren Andersen, Morten Mørup:
Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures. BMC Bioinform. 19(1): 197:1-197:15 (2018) - [j18]Søren Føns Vind Nielsen, Mikkel N. Schmidt, Kristoffer Henriksen, Morten Mørup:
Predictive assessment of models for dynamic functional connectivity. NeuroImage 171: 116-134 (2018) - 2017
- [j17]Rasmus Erbou Røge, 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) - [j16]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) - 2016
- [j15]Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Røge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup:
Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE J. Sel. Top. Signal Process. 10(7): 1160-1171 (2016) - [j14]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): 2250-2290 (2016) - 2014
- [j13]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) - [j12]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) - [j11]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) - 2013
- [j10]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: 279 (2013) - [j9]Mikkel N. Schmidt, Morten Mørup:
Nonparametric Bayesian Modeling of Complex Networks: An Introduction. IEEE Signal Process. Mag. 30(3): 110-128 (2013) - 2012
- [j8]Morten Mørup, Lars Kai Hansen:
Archetypal analysis for machine learning and data mining. Neurocomputing 80: 54-63 (2012) - [j7]Morten Mørup, Mikkel N. Schmidt:
Bayesian Community Detection. Neural Comput. 24(9): 2434-2456 (2012) - 2011
- [j6]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): 431-444 (2011) - [j5]Morten Mørup:
Applications of tensor (multiway array) factorizations and decompositions in data mining. WIREs Data Mining Knowl. Discov. 1(1): 24-40 (2011) - 2008
- [j4]Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek:
Advances in Nonnegative Matrix and Tensor Factorization. Comput. Intell. Neurosci. 2008 (2008) - [j3]Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred:
Algorithms for Sparse Nonnegative Tucker Decompositions. Neural Comput. 20(8): 2112-2131 (2008) - [j2]Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen:
Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage 42(4): 1439-1450 (2008) - 2006
- [j1]Morten Mørup, Lars Kai Hansen, Christoph S. Herrmann, Josef Parnas, Sidse Marie Arnfred:
Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. NeuroImage 29(3): 938-947 (2006)
Conference and Workshop Papers
- 2024
- [c64]Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Continuous-Time Graph Representation with Sequential Survival Process. AAAI 2024: 11177-11185 - [c63]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: 1882-1890 - [c62]Kenny Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup:
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators. AISTATS 2024: 4114-4122 - [c61]Anders S. Olsen, Jesper Duemose Nielsen, Morten Mørup:
Coupled Generator Decomposition for Fusion of Electro- and Magnetoencephalography Data. EUSIPCO 2024: 1357-1361 - 2023
- [c60]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: 11489-11505 - [c59]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: 1-5 - [c58]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 - 2022
- [c57]Tue Herlau, Mikkel N. Schmidt, Morten Mørup:
Bayesian dropout. ANT/EDI40 2022: 771-776 - [c56]Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup:
HM-LDM: A Hybrid-Membership Latent Distance Model. COMPLEX NETWORKS (1) 2022: 350-363 - [c55]Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. LoG 2022: 36 - 2021
- [c54]Ali Mohebbi, Anna-Katharina Böhm, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup:
Early Glycemic Control Assessment Based on Consensus CGM Metrics*. EMBC 2021: 1269-1275 - 2020
- [c53]Ali Mohebbi, Alexander Rosenberg 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: 5140-5145 - [c52]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: 293-298 - 2019
- [c51]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: 7185-7188 - [c50]Jesper Løve Hinrich, Morten Mørup:
Probabilistic Tensor Train Decomposition. EUSIPCO 2019: 1-5 - 2018
- [c49]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 - [c48]Jesper Løve Hinrich, Morten Mørup:
Probabilistic Sparse Non-negative Matrix Factorization. LVA/ICA 2018: 488-498 - [c47]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: 2566-2570 - [c46]Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup:
Variational Bayesian Partially observed non-Negative Tensor Factorization. MLSP 2018: 1-6 - [c45]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 - 2017
- [c44]Ali Mohebbi, Tinna B. Aradottir, Alexander Rosenberg Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup:
A deep learning approach to adherence detection for type 2 diabetics. EMBC 2017: 2896-2899 - [c43]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 - [c42]Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup:
Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. MLSP 2017: 1-6 - [c41]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
- [c40]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: 186-198 - [c39]Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt:
The influence of hyper-parameters in the infinite relational model. MLSP 2016: 1-6 - [c38]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 - [c37]Tue Herlau, Mikkel N. Schmidt, Morten Mørup:
Completely random measures for modelling block-structured sparse networks. NIPS 2016: 4260-4268 - [c36]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: 1-4 - [c35]Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup:
Variational group-PCA for intrinsic dimensionality determination in fMRI data. PRNI 2016: 1-4 - 2015
- [c34]Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup:
Unsupervised segmentation of task activated regions in fMRI. MLSP 2015: 1-6 - 2014
- [c33]Mikkel N. Schmidt, Tue Herlau, Morten Mørup:
Discovering hierarchical structure in normal relational data. CIP 2014: 1-6 - [c32]Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt:
Nonparametric statistical structuring of knowledge systems using binary feature matches. MLSP 2014: 1-6 - [c31]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: 1-6 - [c30]Karen Sandø 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
- [c29]Tue Herlau, Morten Mørup, Mikkel N. Schmidt:
Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) 2013: 960-968 - [c28]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 - [c27]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: 11-18 - [c26]Karen Sandø Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup:
Comparing Structural Brain Connectivity by the Infinite Relational Model. PRNI 2013: 50-53 - [c25]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 - [c24]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
- [c23]Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Detecting hierarchical structure in networks. CIP 2012: 1-6 - [c22]Kasper Winther Andersen, Morten Mørup, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Lars Kai Hansen:
Identifying modular relations in complex brain networks. MLSP 2012: 1-6 - [c21]Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Modelling dense relational data. MLSP 2012: 1-6 - [c20]David Kofoed Wind, Morten Mørup:
Link prediction in weighted networks. MLSP 2012: 1-6 - [c19]Ryota Tomioka, Morten Mørup:
A Bayesian Analysis of the Radioactive Releases of Fukushima. AISTATS 2012: 1243-1251 - 2011
- [c18]Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen:
Frequency constrained ShiftCP modeling of neuroimaging data. ACSCC 2011: 127-131 - [c17]Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen:
Modeling latency and shape changes in trial based neuroimaging data. ACSCC 2011: 439-443 - [c16]Nuri Firat Ince, Morten Mørup:
Session MP7a: Processing of physiological signals. ACSCC 2011: 459-460 - [c15]Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen:
Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. MLSP 2011: 1-6 - [c14]Morten Mørup, Mikkel N. Schmidt:
Transformation invariant sparse coding. MLSP 2011: 1-6 - [c13]Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Infinite multiple membership relational modeling for complex networks. MLSP 2011: 1-6 - [c12]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: 226-233 - 2010
- [c11]Michael Kai Petersen, Morten Mørup, Lars Kai Hansen:
Latent semantics as cognitive components. CIP 2010: 434-439 - [c10]Mikkel N. Schmidt, Morten Mørup:
Infinite non-negative matrix factorization. EUSIPCO 2010: 905-909 - [c9]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: 1750-1758 - [c8]Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup:
Scalable Tensor Factorizations with Missing Data. SDM 2010: 701-712 - 2009
- [c7]Morten Mørup, Lars Kai Hansen:
Tuning pruning in sparse non-negative matrix factorization. EUSIPCO 2009: 1923-1927 - [c6]Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen:
Sofomore: Combined EEG Source and Forward Model Reconstruction. ISBI 2009: 450-453 - [c5]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane:
Efficient Multiplicative Updates for Support Vector Machines. SDM 2009: 1220-1231 - 2008
- [c4]Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred:
Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. BIOSIGNALS (2) 2008: 3-10 - [c3]Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen:
Approximate L0 constrained non-negative matrix and tensor factorization. ISCAS 2008: 1328-1331 - 2007
- [c2]Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen:
Shifted Independent Component Analysis. ICA 2007: 89-96 - 2006
- [c1]Mikkel N. Schmidt, Morten Mørup:
Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation. ICA 2006: 700-707
Informal and Other Publications
- 2024
- [i20]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 abs/2403.00032 (2024) - [i19]Anders Stevnhoved Olsen, Jesper Duemose Nielsen, Morten Mørup:
Coupled generator decomposition for fusion of electro- and magnetoencephalography data. CoRR abs/2403.15409 (2024) - [i18]Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup:
Non-negative Tensor Mixture Learning for Discrete Density Estimation. CoRR abs/2405.18220 (2024) - [i17]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 abs/2406.16911 (2024) - [i16]Anna Emilie J. Wedenborg, Michael Alexander Harborg, Andreas Bigom, Oliver Elmgreen, Marcus Presutti, Andreas Råskov, Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup:
Modeling Human Responses by Ordinal Archetypal Analysis. CoRR abs/2409.07934 (2024) - 2023
- [i15]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 abs/2301.09507 (2023) - [i14]Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup:
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. CoRR abs/2308.15293 (2023) - [i13]Jesper Løve Hinrich, Morten Mørup:
Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. CoRR abs/2310.02694 (2023) - [i12]Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup:
CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. CoRR abs/2311.07788 (2023) - [i11]Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Continuous-time Graph Representation with Sequential Survival Process. CoRR abs/2312.13068 (2023) - 2022
- [i10]Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup:
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. CoRR abs/2204.05885 (2022) - [i9]Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup:
HM-LDM: A Hybrid-Membership Latent Distance Model. CoRR abs/2206.03463 (2022) - [i8]Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup:
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations. CoRR abs/2212.12345 (2022) - 2020
- [i7]Ali Mohebbi, Alexander Rosenberg 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 abs/2002.02805 (2020) - 2018
- [i6]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) - 2013
- [i5]Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen:
Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior. CoRR abs/1306.3133 (2013) - 2011
- [i4]Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen:
Infinite Multiple Membership Relational Modeling for Complex Networks. CoRR abs/1101.5097 (2011) - 2010
- [i3]Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup:
Scalable Tensor Factorizations for Incomplete Data. CoRR abs/1005.2197 (2010) - [i2]Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen:
Semi-Supervised Kernel PCA. CoRR abs/1008.1398 (2010) - 2009
- [i1]Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane:
Multiplicative updates For Non-Negative Kernel SVM. CoRR abs/0902.4228 (2009)
Coauthor Index
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