Recent Publications
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.