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RJ

Robert Jenssen

cs.LGcs.CVstat.MLeess.IVcs.NEcs.AIcs.ITmath.ITAlgorithmsElectronic Health Records

On Valency

published · living versions
W_q5a8g7q9·v1 · currentpublished
Intrinsic Information-Theoretic Analysis of ReLU Nets
with Johan Mylius-Kroken, Elisabeth Wetzer, Ali Ramezani-Kebrya, Kristoffer Knutsen Wickstrøm
1 version

Preprints & journals

102 papers in the corpus · 2010–2026
Explicitly Aligned Multi-View Breast Cancer Risk Prediction from Variable-Length Screening Histories2610.16329v1 · Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin et al.2026 · 0 citationsarXiv
SMILE: Self-Explainable Multimodal Information Bottleneck for Medical Diagnosis2609.05174v1 · Yuqing Yang, Alexander Schmatz, Zhaozhao Ma et al.2026 · 0 citationsarXiv
A Station-Based Evaluation of Machine Learning-based Weather Forecasting Models in Northern Norway2609.10564v1 · Siyan Chen, Lars Uebbing, Eirik Mikal Samuelsen et al.2026 · 0 citationsarXivon Valency
Longitudinal Multi-View Breast Cancer Risk Prediction2607.11343v1 · Solveig Thrun, Zijun Sun, Suaiba A. Salahuddin et al.2026 · 0 citationsarXiv
ProtoX-AD: Self-Explainable Time Series Anomaly Detection and Characterization2606.13277v1 · Aitor S'anchez-Ferrera, Elisabeth Wetzer, Kristoffer Wickstr\om et al.2026 · 0 citationsarXiv
OVA-IB: One vs All Information Bottleneck for Multi-Modal Alignment2605.29900v1 · Tianchao Li, Shujian Yu, Xinrui Zu et al.2026 · 0 citationsarXiv
NOFE - Neural Operator Function Embedding2605.11970v2 · Lars Uebbing, Harald L. Joakimsen, Siyan Chen et al.2026 · 0 citationsarXiv
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F] FDG PET imaging.41803557 · Salomonsen, Christian, Luppino, Luigi T, Aspheim, Fredrik et al.2026 · 0 citationsEJNMMI research. 2026;16(1)
Keypoint Counting Classifiers: Turning Vision Transformers into Self-Explainable Models Without Training2512.17891v1 · Kristoffer Wickstr\om, Teresa Dorszewski, Siyan Chen et al.2025 · 0 citationsarXiv
The Impact of Longitudinal Mammogram Alignment on Breast Cancer Risk Assessment2511.08328v2 · Solveig Thrun, Stine Hansen, Zijun Sun et al.2025 · 0 citationsarXiv
Fast Voxel-Wise Kinetic Modeling in Dynamic PET using a Physics-Informed CycleGAN2510.23140v1 · Christian Salomonsen, Samuel Kuttner, Michael Kampffmeyer et al.2025 · 0 citationsarXiv
Random Window Augmentations for Deep Learning Robustness in CT and Liver Tumor Segmentation2510.08116v1 · Eirik A. \Ostmo, Kristoffer K. Wickstr\om, Keyur Radiya et al.2025 · 0 citationsarXiv
Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models2509.21102v1 · Suaiba Amina Salahuddin, Teresa Dorszewski, Marit Almenning Martiniussen et al.2025 · 0 citationsarXiv
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements2508.12023v2 · Durgesh Kumar Singh, Qing Cao, Sarina Thomas et al.2025 · 0 citationsarXiv
SuperCM: Improving Semi-Supervised Learning and Domain Adaptation through differentiable clustering2507.13779v1 · Durgesh Singh, Ahcene Boubekki, Robert Jenssen et al.2025 · 2 citationsPattern Recognition 2025
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck.39269791 · Zheng, Kaizhong, Yu, Shujian, Li, Baojuan et al.2025 · 56 citationsIEEE transactions on neural networks and learning systems. 2025;36(7):13066-13079
The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making.40100651 · Yu, Shujian, Li, Hongming, Lokse, Sigurd et al.2025 · 10 citationsIEEE transactions on pattern analysis and machine intelligence. 2025;47(7):5901-5917
Supercm: Revisiting Clustering for Semi-Supervised Learning2506.23824v1 · Durgesh Singh, Ahcene Boubekki, Robert Jenssen et al.2025 · 2 citations10.1109/ICASSP49357.2023.10095856
EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode2506.22063v1 · Durgesh K. Singh, Ahcene Boubekki, Qing Cao et al.2025 · 0 citationsarXiv
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders2505.01134v1 · Rogelio A Mancisidor, Robert Jenssen, Shujian Yu et al.2025 · 0 citationsarXiv
From Colors to Classes: Emergence of Concepts in Vision Transformers2503.24071v1 · Teresa Dorszewski, Lenka Tetkov'a, Robert Jenssen et al.2025 · 8 citationsarXiv
Natural Language Processing for Electronic Health Records in Scandinavian Languages: Norwegian, Swedish, and Danish2503.18539v1 · Ashenafi Zebene Woldaregay, J\orgen Aarmo Lund, Phuong Dinh Ngo et al.2025 · 0 citationsarXiv
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability2412.08513v1 · Kristoffer K. Wickstr\om, Thea Brusch, Michael C. Kampffmeyer et al.2024 · 0 citationsarXiv
FLEXtime: Filterbank learning to explain time series2411.05841v3 · Thea Brusch, Kristoffer K. Wickstr\om, Mikkel N. Schmidt et al.2024 · 0 citationsarXiv
FreqRISE: Explaining time series using frequency masking2406.13584v2 · Thea Brusch, Kristoffer Knutsen Wickstr\om, Mikkel N. Schmidt et al.2024 · 0 citationsarXiv
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications2405.04061v3 · Mingfei Lu, Chenxu Li, Shujian Yu et al.2024 · 3 citationsarXiv
Cauchy-Schwarz Divergence Information Bottleneck for Regression2404.17951v1 · Shujian Yu, Xi Yu, Sigurd L\okse et al.2024 · 3 citationsarXiv
Deep-learning-derived input function in dynamic [18F]FDG PET imaging of mice.39381031 · Kuttner, Samuel, Luppino, Luigi T, Convert, Laurence et al.2024 · 13 citationsFrontiers in nuclear medicine. 2024;4:1372379
View it like a radiologist: Shifted windows for deep learning augmentation of CT images2311.14990v1 · Eirik A. \Ostmo, Kristoffer K. Wickstr\om, Keyur Radiya et al.2023 · 5 citations2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 1-6
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement.37541101 · Hansen, Stine, Gautam, Srishti, Salahuddin, Suaiba Amina et al.2023 · 29 citationsMedical image analysis. 2023;89:102870
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.37372243 · Wickstrøm, Kristoffer K, Løkse, Sigurd, Kampffmeyer, Michael C et al.2023 · 1 citationEntropy (Basel, Switzerland). 2023;25(6)
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images.37207397 · Wickstrøm, Kristoffer Knutsen, Østmo, Eirik Agnalt, Radiya, Keyur et al.2023 · 25 citationsComputerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 2023;107:102239
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering2303.09877v1 · Daniel J. Trosten, Sigurd L\okse, Robert Jenssen et al.2023 · 59 citationsarXiv
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings2303.09352v1 · Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd L\okse et al.2023 · 30 citationsarXiv
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model2210.08151v1 · Srishti Gautam, Ahcene Boubekki, Stine Hansen et al.2022 · 20 citationsarXiv
Principle of Relevant Information for Graph Sparsification2206.00118v1 · Shujian Yu, Francesco Alesiani, Wenzhe Yin et al.2022 · 4 citationsarXiv
The Kernelized Taylor Diagram2205.08864v1 · Kristoffer Wickstr\om, J. Emmanuel Johnson, Sigurd L\okse et al.2022 · 6 citationsarXiv
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images.35552141 · Luppino, Luigi Tommaso, Hansen, Mads Adrian, Kampffmeyer, Michael et al.2024 · 174 citationsIEEE transactions on neural networks and learning systems. 2022;PP
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series2203.09270v1 · Kristoffer Wickstr\om, Michael Kampffmeyer, Karl \Oyvind Mikalsen et al.2022 · 113 citationsarXiv
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels.35272250 · Hansen, Stine, Gautam, Srishti, Jenssen, Robert et al.2022 · 169 citationsMedical image analysis. 2022;78:102385
RELAX: Representation Learning Explainability2112.10161v2 · Kristoffer K. Wickstr\om, Daniel J. Trosten, Sigurd L\okse et al.2021 · 15 citationsarXiv
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks2111.03845v1 · Qinghui Liu, Michael Kampffmeyer, Robert Jenssen et al.2021 · 25 citationsarXiv
Discriminative Multimodal Learning via Conditional Priors in Generative Models2110.04616v3 · Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas et al.2021 · 5 citationsarXiv
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation2108.12204v1 · Srishti Gautam, Marina M.-C. Hohne, Stine Hansen et al.2021 · 46 citationsarXiv
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series.33284756 · Wickstrom, Kristoffer, Mikalsen, Karl Oyvind, Kampffmeyer, Michael et al.2021 · 51 citationsIEEE journal of biomedical and health informatics. 2021;25(7):2435-2444
Career total: 239 works. 102 are in this corpus.Showing the 50 most recent.

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