| Combining electro-and magnetoencephalography data using directional archetypal analysis AS Olsen, RMT Høegh, JL Hinrich, KH Madsen, M Mørup Frontiers in Neuroscience 16, 911034, 2022 | 4 | 2022 |
| Client adaptation improves federated learning with simulated non-IID clients L Rieger, RMT Høegh, LK Hansen arXiv preprint arXiv:2007.04806, 2020 | 4 | 2020 |
| Investigating the effects of noise-estimation errors in simulated cochlear implant speech intelligibility AA Kressner, T May, RMT Høegh, KA Juhl, T Bentsen, T Dau Proceedings of the International Symposium on Auditory and Audiological …, 2017 | 2 | 2017 |
| Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators K Olsen, RMH Lindrup, M Mørup International Conference on Artificial Intelligence and Statistics, 4114-4122, 2024 | | 2024 |
| On Learning Useful Variational Autoencoder Representations: Applications in Audio Modelling and Hearing Loss Treatment RMT Høegh Technical University of Denmark, 2022 | | 2022 |
| Probabilistic Impact Scenarios for Extreme Weather Event Resilience S Yoo, JP Watson, N Jackson, RG Ghanem, C Safta, EM Constantinescu, ... 2024 Joint Mathematics Meetings (JMM 2024), 0 | | |
