Morten Mørup - RankMe

130 papers A* 3A 6C 1Misc 4Journal 59Unranked 56

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	E$^2$M: Double Bounded $\alpha$-Divergence Optimization for Tensor-based Discrete Density Estimation. Trans. Mach. Learn. Res. Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
2025	J	`jnl`	A Survey on Archetypal Analysis. CoRR Aleix Alcacer, Irene Epifanio, Sebastian Mair, Morten Mørup
2025	Misc	`conf`	Archetypal Analysis for Binary Data. ICASSP Anna Emilie J. Wedenborg, Morten Mørup
2025	J	`jnl`	Archetypal Analysis for Binary Data. CoRR Anna Emilie J. Wedenborg, Morten Mørup
2025	J	`jnl`	Estimating the Event-Related Potential from Few EEG Trials. CoRR Anders Vestergaard Nørskov, Kasper Jørgensen, Alexander Neergaard Zahid, Morten Mørup
2025	J	`jnl`	Estimating the Event-Related Potential from Few EEG Trials. Trans. Mach. Learn. Res. Anders Vestergaard Nørskov, Kasper Jørgensen, Alexander Neergaard Zahid, Morten Mørup
2025	A*	`conf`	How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings. ICLR Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn, Morten Mørup
2025	J	`jnl`	How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings. CoRR Nikolaos Nakis, Niels Raunkjær Holm, Andreas Lyhne Fiehn, Morten Mørup
2025	J	`jnl`	Knowing When to Quit: Probabilistic Early Exits for Speech Separation. CoRR Kenny Falkær Olsen, Mads Østergaard, Karl Ulbæk, Søren Føns Vind Nielsen, Rasmus Malik Høegh Lindrup, Bjørn Sand Jensen, Morten Mørup
2025	J	`jnl`	Modeling roles and trade-offs in multiplex networks. CoRR Nikolaos Nakis, Sune Lehmann, Nicholas A. Christakis, Morten Mørup
2025	Misc	`conf`	SepMamba: State-Space Models for Speaker Separation Using Mamba. ICASSP Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen
2025	—	`conf`	TNSPC: Learning from Partially Observed Data Using Tensor Network Structured Probabilistic Circuits. MLSP Niccolo' Ciolli, Morten Mørup, Mikkel N. Schmidt
2025	J	`jnl`	Tensor and Coupled Decompositions: Interpretable pattern discovery in multiset and multimodal functional neuroimaging data. IEEE Signal Process. Mag. Morten Mørup, Evrim Acar, Tülay Adali
2024	J	`jnl`	A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. IEEE Trans. Knowl. Data Eng. Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann, Morten Mørup
2024	A*	`conf`	Continuous-Time Graph Representation with Sequential Survival Process. AAAI Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2024	—	`conf`	Coupled Generator Decomposition for Fusion of Electro- and Magnetoencephalography Data. EUSIPCO Anders S. Olsen, Jesper Duemose Nielsen, Morten Mørup
2024	J	`jnl`	Coupled generator decomposition for fusion of electro- and magnetoencephalography data. CoRR Anders Stevnhoved Olsen, Jesper Duemose Nielsen, Morten Mørup
2024	—	`conf`	Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models. EMBC Javier García Ciudad, Morten Mørup, Birgitte Rahbek Kornum, Alexander Neergaard Zahid
2024	J	`jnl`	Evaluating the Influence of Temporal Context on Automatic Mouse Sleep Staging through the Application of Human Models. CoRR Javier García Ciudad, Morten Mørup, Birgitte Rahbek Kornum, Alexander Neergaard Zahid
2024	—	`conf`	Modeling Human Responses by Ordinal Archetypal Analysis. MLSP Anna Emilie J. Wedenborg, Michael Alexander Harborg, Andreas Bigom, Oliver Elmgreen, Marcus Presutti, Andreas Råskov, Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup
2024	J	`jnl`	Modeling Human Responses by Ordinal Archetypal Analysis. CoRR Anna Emilie J. Wedenborg, Michael Alexander Harborg, Andreas Bigom, Oliver Elmgreen, Marcus Presutti, Andreas Råskov, Fumiko Kano Glückstad, Mikkel N. Schmidt, Morten Mørup
2024	J	`jnl`	Non-negative Tensor Mixture Learning for Discrete Density Estimation. CoRR Kazu Ghalamkari, Jesper Løve Hinrich, Morten Mørup
2024	J	`jnl`	Probabilistic Block Term Decomposition for the Modeling of Higher Order Arrays. Comput. Sci. Eng. Jesper Løve Hinrich, Morten Mørup
2024	J	`jnl`	Probabilistic PARAFAC2. Entropy Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer H. Madsen, Morten Mørup
2024	J	`jnl`	SepMamba: State-space models for speaker separation using Mamba. CoRR Thor Højhus Avenstrup, Boldizsár Elek, István László Mádi, András Bence Schin, Morten Mørup, Bjørn Sand Jensen, Kenny Falkær Olsen
2024	A	`conf`	Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators. AISTATS Kenny Falkær Olsen, Rasmus M. Hoeegh Lindrup, Morten Mørup
2024	A	`conf`	Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. AISTATS Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
2024	J	`jnl`	Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model. CoRR Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Sune Lehmann, Morten Mørup
2023	J	`jnl`	A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. Adv. Complex Syst. Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2023	J	`jnl`	A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks. CoRR Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2023	—	`conf`	Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task. ICASSP Workshops Anders S. Olsen, Emil Ortvald, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten Mørup
2023	A*	`conf`	CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. NeurIPS Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup
2023	J	`jnl`	CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion. CoRR Anders Vestergaard Nørskov, Alexander Neergaard Zahid, Morten Mørup
2023	A	`conf`	Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. AISTATS Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
2023	J	`jnl`	Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model. CoRR Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie, Christian Djurhuus, Felix Burmester, Daniel Mathias Holmelund, Monika Frolcová, Morten Mørup
2023	J	`jnl`	Continuous-time Graph Representation with Sequential Survival Process. CoRR Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2023	J	`jnl`	Probabilistic Block Term Decomposition for the Modelling of Higher-Order Arrays. CoRR Jesper Løve Hinrich, Morten Mørup
2022	J	`jnl`	A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations. CoRR Nikolaos Nakis, Abdulkadir Çelikkanat, Sune Lehmann Jørgensen, Morten Mørup
2022	—	`conf`	Bayesian dropout. ANT/EDI40 Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2022	—	`conf`	HM-LDM: A Hybrid-Membership Latent Distance Model. COMPLEX NETWORKS (1) Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2022	J	`jnl`	HM-LDM: A Hybrid-Membership Latent Distance Model. CoRR Nikolaos Nakis, Abdulkadir Çelikkanat, Morten Mørup
2022	—	`conf`	Piecewise-Velocity Model for Learning Continuous-Time Dynamic Node Representations. LoG Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2022	J	`jnl`	Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations. CoRR Abdulkadir Çelikkanat, Nikolaos Nakis, Morten Mørup
2022	J	`jnl`	Psilocybin modulation of time-varying functional connectivity is associated with plasma psilocin and subjective effects. NeuroImage 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
2021	—	`conf`	Early Glycemic Control Assessment Based on Consensus CGM Metrics EMBC Ali Mohebbi, Anna-Katharina Böhm, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
2021	J	`jnl`	The Bayesian Cut. IEEE Trans. Pattern Anal. Mach. Intell. Petr Taborsky, Laurent Vermue, Maciej Korzepa, Morten Mørup
2021	J	`jnl`	Using connectomics for predictive assessment of brain parcellations. NeuroImage Kristoffer Jon Albers, Karen Sandø Ambrosen, Matthew G. Liptrot, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
2020	—	`conf`	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. EMBC Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
2020	J	`jnl`	Short Term Blood Glucose Prediction based on Continuous Glucose Monitoring Data. CoRR Ali Mohebbi, Alexander Rosenberg Johansen, Nicklas Hansen, Peter Ebert Christensen, Jens Magelund Tarp, Morten Lind Jensen, Henrik Bengtsson, Morten Mørup
2020	—	`conf`	Simulation Environment for Guiding the Design of Contextual Personalization Systems in the Context of Hearing Aids. UMAP (Adjunct Publication) Maciej Korzepa, Michael Kai Petersen, Jakob Eg Larsen, Morten Mørup
2020	J	`jnl`	The probabilistic tensor decomposition toolbox. Mach. Learn. Sci. Technol. Jesper Løve Hinrich, Kristoffer H. Madsen, Morten Mørup
2020	J	`jnl`	Validation of structural brain connectivity networks: The impact of scanning parameters. NeuroImage 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
2019	—	`conf`	Fast Assessment of Glycemic Control based on Continuous Glucose Monitoring Data. EMBC Ali Mohebbi, Jens Magelund Tarp, Morten Lind Jensen, Sadasivan Puthusserypady, Elise Hachmann-Nielsen, Henrik Bengtsson, Morten Mørup
2019	—	`conf`	Probabilistic Tensor Train Decomposition. EUSIPCO Jesper Løve Hinrich, Morten Mørup
2019	J	`jnl`	Temporally intermittent communities in brain fMRI correlation networks. Appl. Netw. Sci. Ulf Aslak, Søren Føns Vind Nielsen, Morten Mørup, Sune Lehmann
2018	Misc	`conf`	Evaluating Models of Dynamic Functional Connectivity Using Predictive Classification Accuracy. ICASSP Søren Føns Vind Nielsen, Yuri Levin-Schwartz, Diego Vidaurre, Tülay Adali, Vince D. Calhoun, Kristoffer Hougaard Madsen, Lars Kai Hansen, Morten Mørup
2018	J	`jnl`	Predictive assessment of models for dynamic functional connectivity. NeuroImage Søren Føns Vind Nielsen, Mikkel N. Schmidt, Kristoffer Henriksen, Morten Mørup
2018	J	`jnl`	Probabilistic PARAFAC2. CoRR Philip J. H. Jørgensen, Søren Føns Vind Nielsen, Jesper Løve Hinrich, Mikkel N. Schmidt, Kristoffer Hougaard Madsen, Morten Mørup
2018	—	`conf`	Probabilistic Sparse Non-negative Matrix Factorization. LVA/ICA Jesper Løve Hinrich, Morten Mørup
2018	J	`jnl`	Rigorous optimisation of multilinear discriminant analysis with Tucker and PARAFAC structures. BMC Bioinform. Laura Frølich, Tobias Søren Andersen, Morten Mørup
2018	—	`conf`	Testing group differences in state transition structure of dynamic functional connectivity models. PRNI Søren Føns Vind Nielsen, Diego Vidaurre, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
2018	—	`conf`	Understanding Mindsets Across Markets, Internationally: A Public-Private Innovation Project for Developing a Tourist Data Analytic Platform. COMPSAC (2) Kristoffer Jon Albers, Mikkel N. Schmidt, Morten Mørup, Marisciel Litong-Palima, Rasmus Bonnevie, Fumiko Kano Glückstad
2018	—	`conf`	Variational Bayesian Partially observed non-Negative Tensor Factorization. MLSP Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
2017	—	`conf`	A deep learning approach to adherence detection for type 2 diabetics. EMBC Ali Mohebbi, Tinna B. Aradottir, Alexander Rosenberg Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup
2017	—	`conf`	Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures. MLSP Rasmus Bonnevie, Mikkel N. Schmidt, Morten Mørup
2017	J	`jnl`	Infinite von Mises-Fisher Mixture Modeling of Whole Brain fMRI Data. Neural Comput. Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
2017	—	`conf`	Modeling dynamic functional connectivity using a wishart mixture model. PRNI Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
2017	Misc	`conf`	Scalable group level probabilistic sparse factor analysis. ICASSP 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
2017	J	`jnl`	The missing link: Predicting connectomes from noisy and partially observed tract tracing data. PLoS Comput. Biol. Max Hinne, Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten Mørup, Marcel A. J. van Gerven
2016	J	`jnl`	Archetypal Analysis for Modeling Multisubject fMRI Data. IEEE J. Sel. Top. Signal Process. Jesper Løve Hinrich, Sophia Elizabeth Bardenfleth, Rasmus Erbou Røge, Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
2016	—	`conf`	Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. MLSP Philip H. Jørgensen, Morten Mørup, Mikkel N. Schmidt, Tue Herlau
2016	—	`conf`	Completely random measures for modelling block-structured sparse networks. NIPS Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2016	—	`conf`	Independent vector analysis for capturing common components in fMRI group analysis. PRNI Astrid M. E. Engberg, Kasper Winther Andersen, Morten Mørup, Kristoffer Hougaard Madsen
2016	—	`conf`	Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. MCV/BAMBI@MICCAI Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
2016	J	`jnl`	The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI. Neural Comput. Nathan William Churchill, Kristoffer Hougaard Madsen, Morten Mørup
2016	—	`conf`	The influence of hyper-parameters in the infinite relational model. MLSP Kristoffer Jon Albers, Morten Mørup, Mikkel N. Schmidt
2016	—	`conf`	Variational group-PCA for intrinsic dimensionality determination in fMRI data. PRNI Jesper Løve Hinrich, Søren Føns Vind Nielsen, Kristoffer Hougaard Madsen, Morten Mørup
2015	—	`conf`	Unsupervised segmentation of task activated regions in fMRI. MLSP Rasmus Erbou Røge, Kristoffer Hougaard Madsen, Mikkel N. Schmidt, Morten Mørup
2014	J	`jnl`	Cross-categorization of legal concepts across boundaries of legal systems: in consideration of inferential links. Artif. Intell. Law Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2014	—	`conf`	Discovering hierarchical structure in normal relational data. CIP Mikkel N. Schmidt, Tue Herlau, Morten Mørup
2014	J	`jnl`	Errata to "Bayesian Community Detection" ( Neural Comput. Morten Mørup, Mikkel N. Schmidt
2014	—	`conf`	Non-negative Tensor Factorization with missing data for the modeling of gene expressions in the Human Brain. MLSP Søren Føns Vind Nielsen, Morten Mørup
2014	J	`jnl`	Non-parametric Bayesian graph models reveal community structure in resting state fMRI. NeuroImage Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen
2014	—	`conf`	Nonparametric Bayesian clustering of structural whole brain connectivity in full image resolution. PRNI Karen Sandø Ambrosen, Kristoffer Jon Albers, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
2014	—	`conf`	Nonparametric statistical structuring of knowledge systems using binary feature matches. MLSP Morten Mørup, Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt
2013	—	`conf`	Analysis of Conceptualization Patterns across Groups of People. TAAI Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup, Rafal Rzepka, Kenji Araki
2013	J	`jnl`	Archetypal analysis of diverse Pseudomonas aeruginosa transcriptomes reveals adaptation in cystic fibrosis airways. BMC Bioinform. Juliane Charlotte Thøgersen, Morten Mørup, Søren Damkiær, Søren Molin, Lars Jelsbak
2013	—	`conf`	Comparing Structural Brain Connectivity by the Infinite Relational Model. PRNI Karen Sandø Ambrosen, Tue Herlau, Tim B. Dyrby, Mikkel N. Schmidt, Morten Mørup
2013	J	`jnl`	Crowds, Bluetooth, and Rock-n-Roll. Understanding Music Festival Participant Behavior. CoRR Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen
2013	—	`conf`	Crowds, bluetooth, and rock'n'roll: understanding music festival participant behavior. PDM@ACM Multimedia Jakob Eg Larsen, Piotr Sapiezynski, Arkadiusz Stopczynski, Morten Mørup, Rasmus Theodorsen
2013	—	`conf`	Large scale inference in the Infinite Relational Model: Gibbs sampling is not enough. MLSP Kristoffer Jon Albers, Andreas Leon Aagaard Moth, Morten Mørup, Mikkel N. Schmidt
2013	—	`conf`	Modeling Temporal Evolution and Multiscale Structure in Networks. ICML (3) Tue Herlau, Morten Mørup, Mikkel N. Schmidt
2013	J	`jnl`	Nonparametric Bayesian Modeling of Complex Networks: An Introduction. IEEE Signal Process. Mag. Mikkel N. Schmidt, Morten Mørup
2013	—	`conf`	Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization. SITIS Fumiko Kano Glückstad, Tue Herlau, Mikkel N. Schmidt, Morten Mørup
2012	A	`conf`	A Bayesian Analysis of the Radioactive Releases of Fukushima. AISTATS Ryota Tomioka, Morten Mørup
2012	J	`jnl`	Archetypal analysis for machine learning and data mining. Neurocomputing Morten Mørup, Lars Kai Hansen
2012	J	`jnl`	Bayesian Community Detection. Neural Comput. Morten Mørup, Mikkel N. Schmidt
2012	—	`conf`	Detecting hierarchical structure in networks. CIP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2012	—	`conf`	Identifying modular relations in complex brain networks. MLSP Kasper Winther Andersen, Morten Mørup, Hartwig R. Siebner, Kristoffer Hougaard Madsen, Lars Kai Hansen
2012	—	`conf`	Link prediction in weighted networks. MLSP David Kofoed Wind, Morten Mørup
2012	—	`conf`	Modelling dense relational data. MLSP Tue Herlau, Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2011	J	`jnl`	Applications of tensor (multiway array) factorizations and decompositions in data mining. WIREs Data Mining Knowl. Discov. Morten Mørup
2011	—	`conf`	Frequency constrained ShiftCP modeling of neuroimaging data. ACSCC Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
2011	—	`conf`	Identification of Functional Clusters in the Striatum Using Infinite Relational Modeling. MLINI Kasper Winther Andersen, Kristoffer Hougaard Madsen, Hartwig R. Siebner, Lars Kai Hansen, Morten Mørup
2011	J	`jnl`	Infinite Multiple Membership Relational Modeling for Complex Networks CoRR Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2011	—	`conf`	Infinite multiple membership relational modeling for complex networks. MLSP Morten Mørup, Mikkel N. Schmidt, Lars Kai Hansen
2011	—	`conf`	Modeling latency and shape changes in trial based neuroimaging data. ACSCC Morten Mørup, Lars Kai Hansen, Kristoffer Hougaard Madsen
2011	—	`conf`	Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. MLSP Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen
2011	—	`conf`	Session MP7a: Processing of physiological signals. ACSCC Nuri Firat Ince, Morten Mørup
2011	J	`jnl`	Simultaneous EEG Source and Forward Model Reconstruction (SOFOMORE) Using a Hierarchical Bayesian Approach. J. Signal Process. Syst. Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
2011	—	`conf`	Transformation invariant sparse coding. MLSP Morten Mørup, Mikkel N. Schmidt
2010	—	`conf`	Infinite Relational Modeling of Functional Connectivity in Resting State fMRI. NIPS Morten Mørup, Kristoffer Hougaard Madsen, Anne-Marie Dogonowski, Hartwig R. Siebner, Lars Kai Hansen
2010	—	`conf`	Infinite non-negative matrix factorization. EUSIPCO Mikkel N. Schmidt, Morten Mørup
2010	—	`conf`	Latent semantics as cognitive components. CIP Michael Kai Petersen, Morten Mørup, Lars Kai Hansen
2010	J	`jnl`	Scalable Tensor Factorizations for Incomplete Data CoRR Evrim Acar, Tamara G. Kolda, Daniel M. Dunlavy, Morten Mørup
2010	A	`conf`	Scalable Tensor Factorizations with Missing Data. SDM Evrim Acar, Daniel M. Dunlavy, Tamara G. Kolda, Morten Mørup
2010	J	`jnl`	Semi-Supervised Kernel PCA CoRR Christian Walder, Ricardo Henao, Morten Mørup, Lars Kai Hansen
2009	A	`conf`	Efficient Multiplicative Updates for Support Vector Machines. SDM Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vincent D. Calhoun, Terran Lane
2009	J	`jnl`	Multiplicative updates For Non-Negative Kernel SVM CoRR Vamsi K. Potluru, Sergey M. Plis, Morten Mørup, Vince D. Calhoun, Terran Lane
2009	—	`conf`	Sofomore: Combined EEG Source and Forward Model Reconstruction. ISBI Carsten Stahlhut, Morten Mørup, Ole Winther, Lars Kai Hansen
2009	—	`conf`	Tuning pruning in sparse non-negative matrix factorization. EUSIPCO Morten Mørup, Lars Kai Hansen
2008	J	`jnl`	Advances in Nonnegative Matrix and Tensor Factorization. Comput. Intell. Neurosci. Andrzej Cichocki, Morten Mørup, Paris Smaragdis, Wenwu Wang, Rafal Zdunek
2008	J	`jnl`	Algorithms for Sparse Nonnegative Tucker Decompositions. Neural Comput. Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred
2008	C	`conf`	Approximate L0 constrained non-negative matrix and tensor factorization. ISCAS Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen
2008	—	`—`	Decomposition methods for unsupervised learning. Morten Mørup
2008	—	`conf`	Model Order Estimation for Independent Component Analysis of Epoched EEG Signals. BIOSIGNALS (2) Peter Mondrup Rasmussen, Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred
2008	J	`jnl`	Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen
2007	—	`conf`	Shifted Independent Component Analysis. ICA Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen
2006	—	`conf`	Nonnegative Matrix Factor 2-D Deconvolution for Blind Single Channel Source Separation. ICA Mikkel N. Schmidt, Morten Mørup
2006	J	`jnl`	Parallel Factor Analysis as an exploratory tool for wavelet transformed event-related EEG. NeuroImage Morten Mørup, Lars Kai Hansen, Christoph S. Herrmann, Josef Parnas, Sidse Marie Arnfred