Publications

Kristin Skeide Fuglerud; Bent Håkon Lauritzen; Hilde Eide; Innovativ Rehabilitering i Indre Østfold, Nasjonalt forsøk med kommunal rehabilitering. Sluttrapport følgeevaluering; oppsummering av tjeneste og modell , 2021. Report

Thea Roksvåg; Ingelin Steinsland; Kolbjørn Engeland; Journal of the Royal Statistical Society: Series C (Applied Statistics) Journal of the Royal Statistical Society: Series C (Applied Statistics) ORIGINAL ARTICLE Open Access A two-field geostatistical model combining point and areal observations—A case study of annual runoff predictions in the Voss area The Journal of the Royal Statistical Society, Series C (Applied Statistics), pp. 27 , doi: https://doi.org/10.1111/rssc.12492 , 2021. Scientific article

Marie Lilleborge; Ragnhild Sørum Falk; Tone Hovda; Marit Muri Holmen; Giske Ursin; et al. Patterns of aggressiveness: risk of progression to invasive breast cancer by mammographic features of calcifications in screen-detected ductal carcinoma in situ Acta Radiologica, pp. 586 595 9 , doi: https://doi.org/10.1177/02841851211006319 , 2021. Scientific article

Marie Lilleborge; Ragnhild Sørum Falk; Therese Sørlie; Giske Ursin; Solveig Hofvind; Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion International Journal of Cancer, pp. 1247 1256 , doi: https://doi.org/10.1002/ijc.33680 , 2021. Scientific article

Luigi Tommaso Luppino; Michael Kampffmeyer; Filippo Maria Bianchi; Gabriele Moser; Sebastiano Bruno Serpico; et al. Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection IEEE Transactions on Geoscience and Remote Sensing, pp. 22 , doi: https://doi.org/10.1109/TGRS.2021.3056196 , 2021. Scientific article

Nanqing Dong; Michael Kampffmeyer; Irina Voiculescu; Self-supervised Multi-task Representation Learning for Sequential Medical Images Lecture Notes in Computer Science (LNCS), pp. 779 794 , doi: https://doi.org/10.1007/978-3-030-86523-8_47 , 2021. Scientific article

Daniel Johansen Trosten; Sigurd Eivindson Løkse; Robert Jenssen; Michael Kampffmeyer; Reconsidering Representation Alignment for Multi-View Clustering Computer Vision and Pattern Recognition, pp. 1255 1265 , doi: https://doi.org/10.1109/CVPR46437.2021.00131 , 2021. Scientific article

Zhenyu Xie; Zaiyu Huang; Fuwei Zhao; Haoye Dong; Michael Kampffmeyer; et al. Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN Advances in Neural Information Processing Systems, pp. 12 , doi: https://doi.org/10.48550/arXiv.2111.10544 , 2021. Scientific article

Fuwei Zhao; Zhenyu Xie; Michael Kampffmeyer; Haoye Dong; Songfang Han; et al. M3D-VTON: A Monocular-to-3D Virtual Try-On Network IEEE International Conference on Computer Vision (ICCV), pp. 11 , doi: https://doi.org/10.48550/arXiv.2108.05126 , 2021. Scientific article

Ahcene Boubekki; Michael Kampffmeyer; Ulf Brefeld; Robert Jenssen; Joint optimization of an autoencoder for clustering and embedding. Machine Learning, pp. 1901 1937 , doi: https://doi.org/10.1007/s10994-021-06015-5 , 2021. Scientific article

Michael Kampffmeyer; UiT-gruppe får millionstøtte for å tolke bilder 2021. Media interview

Michael Kampffmeyer; Deep Clustering 2021. Lecture

Michael Kampffmeyer; Fikk 12 millioner til bildetolking 2021. Media interview

Kristoffer Knutsen Wickstrøm; Michael Kampffmeyer; Robert Jenssen; Advances in explainable DL & how to model uncertainty in explainability 2021. Scientific lecture

Kristoffer Knutsen Wickstrøm; Sigurd Eivindson Løkse; Karl Øyvind Mikalsen; Michael Kampffmeyer; Robert Jenssen; Towards Explainable Representation Learning 2021. Scientific lecture

Kristoffer Knutsen Wickstrøm; Karl Øyvind Mikalsen; Michael Kampffmeyer; Arthur Revhaug; Robert Jenssen; Uncertainty-Aware Deep Ensembles for Explainable Time Series Prediction 2021. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Variational Bayes for inference on model and parameter uncertainty in Bayesian neural networks , 2021. Scientific lecture

Aliaksandr Hubin; Florian Frommlet; Geir Olve Storvik; Reversible Genetically Modified MCMCs , 2021. Scientific lecture

Aliaksandr Hubin; Geir Olve Storvik; Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty , 2021. Scientific lecture

Torstein Fjeldstad; Per Åge Avseth; Henning Omre; A one-step Bayesian inversion framework for 3D reservoir characterization based on a Gaussian mixture model-A Norwegian Sea demonstration Geophysics, pp. R221 R236 , doi: https://doi.org/10.1190/geo2020-0094.1 , 2021. Scientific article