Morten Mørup

Professor, Section for Cognitive Systems, DTU Compute, email: mmor@dtu.dk, phone +45 4525 3900

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Teaching

Former Head of Studies for B.Sc. Artificial Intelligence and Data (www.dtu.dk/kid)

Responsible for introductory to advanced machine learning courses.
02450 Introduction to Machine Learning and Data Mining
02466 Project work in Artificial Intelligence
02901 Advanced Topics in Machine Learning
Ongoing Education in Machine Learning

Selected Recent Publications

Tensor and Coupled Decompositions: Interpretable pattern discovery in multiset and multimodal functional neuroimaging data, M Mørup, E Acar, T Adalı, IEEE Signal Processing Magazine 42 (4), 41-57

SepMamba: State-space models for speaker separation using Mamba, TH Avenstrup, B Elek, IL Mádi, AB Schin, M Mørup, BS Jensen, K Olsen, ICASSP 2025

How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings, N Nakis, NR Holm, AL Fiehn, M Mørup, ICLR 2025

Discovering Prominent Differences in Structural and Functional Connectomes Using a Multinomial Stochastic Block Model, N.B. Iskov, A.S. Olsen, K.H. Madsen, M. Mørup, Network Neuroscience, 2024.

Probabilistic Block Term Decomposition for the Modelling of Higher-order Arrays, J.L. Hinrich, M. Mørup, Computing in Science & Engineering, 2024

Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators, K. Olsen, R.M.H. Lindrup, M. Mørup, AISTATS 2024

Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model, N. Nakis, A Celikkanat, L Boucherie, S Lehmann, M Mørup, AISTATS 2024

Continuous-time Graph Representation with Sequential Survival Process, A. Celikkanat, N. Nakis, M. Mørup, AAAI 2024.

CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion, A Nørskov, A N Zahid, M Mørup, NeurIPS 2023.

A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks, N Nakis, A Çelikkanat, M Mørup, Advances in Complex Systems vol. 26 no. 1, 2023.

A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations, N Nakis, A Çelikkanat, S Lehmann, M Mørup, IEEE Transactions on Knowledge and Data Engineering, 2023.

Angular Central Gaussian and Watson Mixture Models for Assessing Dynamic Functional Brain Connectivity During a Motor Task, AS Olsen, E Ortvald, KH Madsen, MN Schmidt, M Mørup, 2023 IEEE International Conference on Acoustics, Speech, and Signal  Processing Workshops (ICASSPW), 2023.

Combined EEG in research and diagnostics: Novel perspectives and improvements, C Porcaro, K Avanaki, O Arias-Carrion, M Mørup, Frontiers in Neuroscience 17, 1152394, 2023.

Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model, N Nakis, A Celikkanat, L Boucherie, C Djurhuus, F Burmester, D Holmelund, M. Frolcová, M. Mørup, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS), 2023.

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