NOFE - Neural Operator Function Embedding.

Kristoffer Wickstrøm Kristoffer K. Wickstrøm Kristoffer Knutsen Wickstrøm https://scholar.google.com/citations?user=gUd35ngAAAAJ https://openreview.net/profile?id=~Kristoffer_Knutsen_Wickstr%C3%B8m1 https://orcid.org/0000-0003-1395-7154 https://www.wikidata.org/entity/Q89765881

Lars Uebbing Harald L. Joakimsen Siyan Chen Georgios Leontidis Kristoffer K. Wickstrøm Michael C. Kampffmeyer Sébastien Lefèvre Arnt-Børre Salberg Robert Jenssen NOFE - Neural Operator Function Embedding. 2026 May abs/2605.11970 CoRR https://doi.org/10.48550/arXiv.2605.11970 db/journals/corr/corr2605.html#abs-2605-11970 streams/journals/corr

Aitor Sánchez-Ferrera Elisabeth Wetzer Kristoffer Wickstrøm Michael Kampffmeyer Robert Jenssen ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization. 2026 June abs/2606.13277 CoRR https://doi.org/10.48550/arXiv.2606.13277 db/journals/corr/corr2606.html#abs-2606-13277 streams/journals/corr

Kristoffer K. Wickstrøm Thea Brüsch Michael C. Kampffmeyer Robert Jenssen REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. 8341-8350 2025 AAAI https://doi.org/10.1609/aaai.v39i8.32900 conf/aaai/2025 db/conf/aaai/aaai2025.html#WickstromBKJ25 Jing Wang 0116 Songhe Feng Kristoffer Knutsen Wickstrøm Michael C. Kampffmeyer AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering. 10285-10294 2025 CVPR https://openaccess.thecvf.com/content/CVPR2025/html/Wang_AdaptCMVC_Robust_Adaption_to_Incremental_Views_in_Continual_Multi-view_Clustering_CVPR_2025_paper.html https://doi.org/10.1109/CVPR52734.2025.00962 conf/cvpr/2025 db/conf/cvpr/cvpr2025.html#WangFWK25 Valentina Corbetta Floris Six Dijkstra Regina Beets-Tan Hoel Kervadec Kristoffer Wickstrøm Wilson Silva In-Hoc Concept Representations to Regularise Deep Learning in Medical Imaging. ICCVW 2025 7371-7380 conf/iccv/2025w https://doi.org/10.1109/ICCVW69036.2025.00759 db/conf/iccv/iccv2025w.html#CorbettaDBKWS25 streams/conf/iccv Christian Salomonsen Kristoffer K. Wickstrøm Samuel Kuttner Elisabeth Wetzer Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F]FDG PET Images. 186-197 2025 PRIME@MICCAI https://doi.org/10.1007/978-3-032-07904-6_17 conf/miccai/2025prime db/conf/miccai/prime2025.html#SalomonsenWKW25 streams/conf/miccai Solveig Thrun Stine Hansen Zijun Sun Nele Blum Suaiba Amina Salahuddin Kristoffer Wickstrøm Elisabeth Wetzer Robert Jenssen Maik Stille Michael Kampffmeyer Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. 495-505 2025 MICCAI (2) https://doi.org/10.1007/978-3-032-04937-7_47 conf/miccai/2025-2 db/conf/miccai/miccai2025-2.html#ThrunHSBSWWJSK25 streams/conf/miccai Thea Brüsch Kristoffer Knutsen Wickstrøm Mikkel N. Schmidt Tommy Sonne Alstrøm Robert Jenssen FreqRISE: Explaining time series using frequency masking. 16-31 2025 NLDL https://proceedings.mlr.press/v265/brusch25a.html conf/nldl/2025 db/conf/nldl/nldl2025.html#BruschWSAJ25 streams/conf/nldl Bjørn Leth Møller Sepideh Amiri Christian Igel Kristoffer Knutsen Wickstrøm Robert Jenssen Matthias Keicher Mohammad Farid Azampour Nassir Navab Bulat Ibragimov NEMt: Fast Targeted Explanations for Medical Image Models via Neural Explanation Masks. 184-192 2025 NLDL https://proceedings.mlr.press/v265/moller25a.html conf/nldl/2025 db/conf/nldl/nldl2025.html#MollerAIWJKANI25 streams/conf/nldl Lars Uebbing Harald L. Joakimsen Luigi Tommaso Luppino Iver Martinsen Andrew McDonald 0003 Kristoffer Knutsen Wickstrøm Sébastien Lefèvre Arnt-Børre Salberg Scott Hosking Robert Jenssen Investigating the Impact of Feature Reduction for Deep Learning-based Seasonal Sea Ice Forecasting. 245-254 2025 NLDL https://proceedings.mlr.press/v265/uebbing25a.html conf/nldl/2025 db/conf/nldl/nldl2025.html#UebbingJLMMWLSHJ25 streams/conf/nldl Suaiba Amina Salahuddin Elisabeth Wetzer Kristoffer Wickstrøm Solveig Thrun Michael Kampffmeyer Robert Jenssen Assessing the Efficacy of Multi-task Learning in Mammographic Density Classification: A Study on Class Imbalance and Model Performance. 278-292 2025 SCIA (2) https://doi.org/10.1007/978-3-031-95918-9_20 conf/scia/2025-2 db/conf/scia/scia2025-2.html#SalahuddinWWTKJ25 streams/conf/scia Teresa Dorszewski Lenka Tetková Robert Jenssen Lars Kai Hansen Kristoffer Knutsen Wickstrøm From Colors to Classes: Emergence of Concepts in Vision Transformers. 28-47 2025 xAI (1) https://doi.org/10.1007/978-3-032-08317-3_2 conf/xai/2025-1 db/conf/xai/xai2025-1.html#DorszewskiTJHW25 Thea Brüsch Kristoffer Knutsen Wickstrøm Mikkel N. Schmidt Robert Jenssen Tommy Sonne Alstrøm FLEXtime: Filterbank Learning to Explain Time Series. 243-267 2025 xAI (4) https://doi.org/10.1007/978-3-032-08330-2_12 conf/xai/2025-4 db/conf/xai/xai2025-4.html#BruschWSJA25

Teresa Dorszewski Lenka Tetková Robert Jenssen Lars Kai Hansen Kristoffer Knutsen Wickstrøm From Colors to Classes: Emergence of Concepts in Vision Transformers. 2025 March abs/2503.24071 CoRR https://doi.org/10.48550/arXiv.2503.24071 https://www.wikidata.org/entity/Q133842959 db/journals/corr/corr2503.html#abs-2503-24071 streams/journals/corr

Solveig Thrun Stine Hansen Zijun Sun Nele Blum Suaiba Amina Salahuddin Kristoffer Wickstrøm Elisabeth Wetzer Robert Jenssen Maik Stille Michael Kampffmeyer Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. 2025 June abs/2506.19363 CoRR https://doi.org/10.48550/arXiv.2506.19363 db/journals/corr/corr2506.html#abs-2506-19363 streams/journals/corr

Christian Salomonsen Luigi Tommaso Luppino Fredrik Aspheim Kristoffer Wickstrøm Elisabeth Wetzer Michael Kampffmeyer Rodrigo Berzaghi Rune Sundset Robert Jenssen Samuel Kuttner A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. 2025 July abs/2507.02367 CoRR https://doi.org/10.48550/arXiv.2507.02367 db/journals/corr/corr2507.html#abs-2507-02367 streams/journals/corr

Valentina Corbetta Floris Six Dijkstra Regina Beets-Tan Hoel Kervadec Kristoffer Wickstrøm Wilson Silva In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging. 2025 August abs/2508.13880 CoRR https://doi.org/10.48550/arXiv.2508.13880 db/journals/corr/corr2508.html#abs-2508-13880 streams/journals/corr

Suaiba Amina Salahuddin Teresa Dorszewski Marit Almenning Martiniussen Tone Hovda Antonio Portaluri Solveig Thrun Michael Kampffmeyer Elisabeth Wetzer Kristoffer Wickstrøm Robert Jenssen Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models. 2025 September abs/2509.21102 CoRR https://doi.org/10.48550/arXiv.2509.21102 db/journals/corr/corr2509.html#abs-2509-21102 streams/journals/corr

Eirik Agnalt Østmo Kristoffer K. Wickstrøm Keyur Radiya Michael C. Kampffmeyer Karl Øyvind Mikalsen Robert Jenssen Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation. 2025 October abs/2510.08116 CoRR https://doi.org/10.48550/arXiv.2510.08116 db/journals/corr/corr2510.html#abs-2510-08116 streams/journals/corr

Christian Salomonsen Kristoffer K. Wickstrøm Samuel Kuttner Elisabeth Wetzer Physics-Informed Deep Learning for Improved Input Function Estimation in Motion-Blurred Dynamic [18F]FDG PET Images. 2025 October abs/2510.21281 CoRR https://doi.org/10.48550/arXiv.2510.21281 db/journals/corr/corr2510.html#abs-2510-21281 streams/journals/corr

Christian Salomonsen Samuel Kuttner Michael Kampffmeyer Robert Jenssen Kristoffer Wickstrøm Jong Chul Ye Elisabeth Wetzer Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN. 2025 October abs/2510.23140 CoRR https://doi.org/10.48550/arXiv.2510.23140 db/journals/corr/corr2510.html#abs-2510-23140 streams/journals/corr

Solveig Thrun Stine Hansen Zijun Sun Nele Blum Suaiba Amina Salahuddin Xin Wang Kristoffer Wickstrøm Elisabeth Wetzer Robert Jenssen Maik Stille Michael Kampffmeyer The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment. 2025 November abs/2511.08328 CoRR https://doi.org/10.48550/arXiv.2511.08328 db/journals/corr/corr2511.html#abs-2511-08328 streams/journals/corr

Kristoffer Wickstrøm Teresa Dorszewski Siyan Chen Michael Kampffmeyer Elisabeth Wetzer Robert Jenssen Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training. 2025 December abs/2512.17891 CoRR https://doi.org/10.48550/arXiv.2512.17891 db/journals/corr/corr2512.html#abs-2512-17891 streams/journals/corr

Kristoffer Wickstrøm Marina M.-C. Höhne Anna Hedström From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation. 233-250 2024 ECCV Workshops (21) https://doi.org/10.1007/978-3-031-92648-8_15 conf/eccv/2024-w21 db/conf/eccv/eccv2024-w21.html#WickstromHH24 streams/conf/eccv Bjørn Leth Møller Christian Igel Kristoffer Knutsen Wickstrøm Jon Sporring Robert Jenssen Bulat Ibragimov Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. 2024 ICML https://proceedings.mlr.press/v235/moller24a.html https://openreview.net/forum?id=Hzpt1Gws9g conf/icml/2024 db/conf/icml/icml2024.html#MollerIWSJI24 36048-36071

Thea Brüsch Kristoffer K. Wickstrøm Mikkel N. Schmidt Tommy S. Alstrøm Robert Jenssen Explaining time series models using frequency masking. 2024 abs/2406.13584 CoRR https://doi.org/10.48550/arXiv.2406.13584 db/journals/corr/corr2406.html#abs-2406-13584

Thea Brüsch Kristoffer K. Wickstrøm Mikkel N. Schmidt Robert Jenssen Tommy S. Alstrøm FLEXtime: Filterbank learning for explaining time series. 2024 abs/2411.05841 CoRR https://doi.org/10.48550/arXiv.2411.05841 db/journals/corr/corr2411.html#abs-2411-05841 streams/journals/corr

Kristoffer Wickstrøm Marina Marie-Claire Höhne Anna Hedström From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation. 2024 abs/2412.05592 CoRR https://doi.org/10.48550/arXiv.2412.05592 db/journals/corr/corr2412.html#abs-2412-05592 streams/journals/corr

Kristoffer K. Wickstrøm Thea Brüsch Michael C. Kampffmeyer Robert Jenssen REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. 2024 abs/2412.08513 CoRR https://doi.org/10.48550/arXiv.2412.08513 https://www.wikidata.org/entity/Q133503760 db/journals/corr/corr2412.html#abs-2412-08513 streams/journals/corr

Kristoffer Knutsen Wickstrøm Eirik Agnalt Østmo Keyur Radiya Karl Øyvind Mikalsen Michael Christian Kampffmeyer Robert Jenssen A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. 102239 2023 107 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2023.102239 db/journals/cmig/cmig107.html#WickstromORMKJ23

Kristoffer K. Wickstrøm Sigurd Løkse Michael C. Kampffmeyer Shujian Yu José C. Príncipe Robert Jenssen Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy. 899 2023 June 25 Entropy 6 https://doi.org/10.3390/e25060899 db/journals/entropy/entropy25.html#WickstromLKYPJ23

Kristoffer K. Wickstrøm Daniel J. Trosten Sigurd Løkse Ahcène Boubekki Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen RELAX: Representation Learning Explainability. 1584-1610 2023 June 131 Int. J. Comput. Vis. 6 https://doi.org/10.1007/s11263-023-01773-2 db/journals/ijcv/ijcv131.html#WickstromTLBMKJ23

Ane Blázquez-García Kristoffer Wickstrøm Shujian Yu Karl Øyvind Mikalsen Ahcène Boubekki Angel Conde Usue Mori Robert Jenssen José Antonio Lozano 0001 Selective Imputation for Multivariate Time Series Datasets With Missing Values. 9490-9501 2023 September 35 IEEE Trans. Knowl. Data Eng. 9 https://doi.org/10.1109/TKDE.2023.3240858 db/journals/tkde/tkde35.html#BlazquezGarciaWYMBCMJL23

Anna Hedström Philine Lou Bommer Kristoffer Knutsen Wickstrøm Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=j3FK00HyfU db/journals/tmlr/tmlr2023.html#HedstromBWSLH23

Daniel J. Trosten Rwiddhi Chakraborty Sigurd Løkse Kristoffer Knutsen Wickstrøm Robert Jenssen Michael C. Kampffmeyer Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. 7527-7536 2023 CVPR https://doi.org/10.1109/CVPR52729.2023.00727 conf/cvpr/2023 db/conf/cvpr/cvpr2023.html#TrostenCLWJK23 Eirik Agnalt Østmo Kristoffer K. Wickstrøm Keyur Radiya Michael C. Kampffmeyer Robert Jenssen View it Like a Radiologist: Shifted Windows for Deep Learning Augmentation Of CT Images. 1-6 2023 MLSP https://doi.org/10.1109/MLSP55844.2023.10285978 conf/mlsp/2023 db/conf/mlsp/mlsp2023.html#OstmoWRKJ23

Anna Hedström Philine Lou Bommer Kristoffer K. Wickstrøm Wojciech Samek Sebastian Lapuschkin Marina M.-C. Höhne The Meta-Evaluation Problem in Explainable AI: Identifying Reliable Estimators with MetaQuantus. 2023 abs/2302.07265 CoRR https://doi.org/10.48550/arXiv.2302.07265 db/journals/corr/corr2302.html#abs-2302-07265

Eirik Agnalt Østmo Kristoffer K. Wickstrøm Keyur Radiya Michael C. Kampffmeyer Robert Jenssen View it like a radiologist: Shifted windows for deep learning augmentation of CT images. 2023 abs/2311.14990 CoRR https://doi.org/10.48550/arXiv.2311.14990 db/journals/corr/corr2311.html#abs-2311-14990

Kristoffer Wickstrøm Michael Kampffmeyer Karl Øyvind Mikalsen Robert Jenssen Mixing up contrastive learning: Self-supervised representation learning for time series. 54-61 2022 155 Pattern Recognit. Lett. https://doi.org/10.1016/j.patrec.2022.02.007 db/journals/prl/prl155.html#WickstromKMJ22

Kristoffer Wickstrøm Juan Emmanuel Johnson Sigurd Løkse Gustau Camps-Valls Karl Øyvind Mikalsen Michael Kampffmeyer Robert Jenssen The Kernelized Taylor Diagram. 125-131 2022 NAIS https://doi.org/10.1007/978-3-031-17030-0_10 conf/nais/2022 db/conf/nais/nais2022.html#WickstromJLCMKJ22

Kristoffer Wickstrøm Michael Kampffmeyer Karl Øyvind Mikalsen Robert Jenssen Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. 2022 abs/2203.09270 CoRR https://doi.org/10.48550/arXiv.2203.09270 db/journals/corr/corr2203.html#abs-2203-09270

Kristoffer Wickstrøm Juan Emmanuel Johnson Sigurd Løkse Gustau Camps-Valls Karl Øyvind Mikalsen Michael Kampffmeyer Robert Jenssen The Kernelized Taylor Diagram. 2022 abs/2205.08864 CoRR https://doi.org/10.48550/arXiv.2205.08864 db/journals/corr/corr2205.html#abs-2205-08864

Kristoffer Knutsen Wickstrøm Eirik Agnalt Østmo Keyur Radiya Karl Øyvind Mikalsen Michael Christian Kampffmeyer Robert Jenssen A clinically motivated self-supervised approach for content-based image retrieval of CT liver images. 2022 abs/2207.04812 CoRR https://doi.org/10.48550/arXiv.2207.04812 db/journals/corr/corr2207.html#abs-2207-04812

Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael Kampffmeyer Arthur Revhaug Robert Jenssen Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. 2435-2444 2021 25 IEEE J. Biomed. Health Informatics 7 https://doi.org/10.1109/JBHI.2020.3042637 https://www.wikidata.org/entity/Q104105109 db/journals/titb/titb25.html#WickstromMKRJ21

Shujian Yu Kristoffer Wickstrøm Robert Jenssen José C. Príncipe Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. 435-442 2021 32 IEEE Trans. Neural Networks Learn. Syst. 1 https://doi.org/10.1109/TNNLS.2020.2968509 https://www.wikidata.org/entity/Q89765883 db/journals/tnn/tnn32.html#YuWJP21

Kristoffer K. Wickstrøm Daniel J. Trosten Sigurd Løkse Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen RELAX: Representation Learning Explainability. 2021 abs/2112.10161 CoRR https://arxiv.org/abs/2112.10161 db/journals/corr/corr2112.html#abs-2112-10161

Kristoffer Wickstrøm Michael Kampffmeyer Robert Jenssen Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. 2020 60 Medical Image Anal. https://doi.org/10.1016/j.media.2019.101619 https://www.wikidata.org/entity/Q91759855 db/journals/mia/mia60.html#WickstromKJ20

Van Nhan Nguyen Sigurd Løkse Kristoffer Wickstrøm Michael Kampffmeyer Davide Roverso Robert Jenssen SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. 118-134 2020 ECCV (23) https://doi.org/10.1007/978-3-030-58592-1_8 conf/eccv/2020-23 db/conf/eccv/eccv2020-23.html#NguyenLWKRJ20

Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael Kampffmeyer Arthur Revhaug Robert Jenssen Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. 2020 abs/2010.11310 CoRR https://arxiv.org/abs/2010.11310 db/journals/corr/corr2010.html#abs-2010-11310

Kristoffer Wickstrøm Sigurd Løkse Michael Kampffmeyer Shujian Yu José C. Príncipe Robert Jenssen Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels. 2019 abs/1909.11396 CoRR http://arxiv.org/abs/1909.11396 db/journals/corr/corr1909.html#abs-1909-11396

Kristoffer Wickstrøm Michael Kampffmeyer Robert Jenssen Uncertainty Modeling and interpretability in Convolutional Neural Networks for Polyp Segmentation. 1-6 2018 MLSP https://doi.org/10.1109/MLSP.2018.8516998 conf/mlsp/2018 db/conf/mlsp/mlsp2018.html#WickstromKJ18

Kristoffer Wickstrøm Michael Kampffmeyer Robert Jenssen Uncertainty and Interpretability in Convolutional Neural Networks for Semantic Segmentation of Colorectal Polyps. 2018 abs/1807.10584 CoRR http://arxiv.org/abs/1807.10584 db/journals/corr/corr1807.html#abs-1807-10584

Tommy S. AlstrømTommy Sonne Alstrøm Sepideh Amiri Fredrik Aspheim Mohammad Farid Azampour Regina Beets-Tan Rodrigo Berzaghi Ane Blázquez-García Nele Blum Philine Lou Bommer Ahcène Boubekki Thea Brüsch Gustau Camps-Valls Rwiddhi Chakraborty Siyan Chen Angel Conde Valentina Corbetta Floris Six Dijkstra Teresa Dorszewski Songhe Feng Lars Kai Hansen Stine Hansen Anna Hedström Marina M.-C. HöhneMarina Marie-Claire Höhne Scott Hosking Tone Hovda Bulat Ibragimov Christian Igel Robert Jenssen Harald L. Joakimsen Juan Emmanuel Johnson Michael KampffmeyerMichael C. KampffmeyerMichael Christian Kampffmeyer Matthias Keicher Hoel Kervadec Samuel Kuttner Sebastian Lapuschkin Sébastien Lefèvre Georgios Leontidis Sigurd Løkse José Antonio Lozano 0001 Luigi Tommaso Luppino Marit Almenning Martiniussen Iver Martinsen Andrew McDonald 0003 Karl Øyvind Mikalsen Bjørn Leth Møller Usue Mori Nassir Navab Van Nhan Nguyen Eirik Agnalt Østmo Antonio Portaluri José C. Príncipe Keyur Radiya Arthur Revhaug Davide Roverso Suaiba Amina Salahuddin Arnt-Børre Salberg Christian Salomonsen Wojciech Samek Aitor Sánchez-Ferrera Mikkel N. Schmidt Wilson Silva Jon Sporring Maik Stille Zijun Sun Rune Sundset Lenka Tetková Solveig Thrun Daniel J. Trosten Lars Uebbing Jing Wang 0116 Xin Wang Elisabeth Wetzer Jong Chul Ye Shujian Yu