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

Recent Publications

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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