Robert Jenssen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
12
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability. | Kristoffer K. Wickstrm, Thea Brsch, Michael C. Kampffmeyer, Robert Jenssen |
| 2025 | ICML | Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders. | Rogelio Andrade Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer |
| 2025 | MICCAI | WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements. | Durgesh Kumar Singh, Qing Cao, Sarina Thomas, Ahcne Boubekki, Robert Jenssen, Michael Kampffmeyer |
| 2025 | MICCAI | Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Prediction. | Solveig Thrun, Stine Hansen, Zijun Sun, Nele Blum, Suaiba Amina Salahuddin, Kristoffer Wickstrm, Elisabeth Wetzer, Robert Jenssen, Maik Stille, Michael Kampffmeyer |
| 2024 | ICASSP | DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. | Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Brre Salberg, Nils Olav Handegard, Robert Jenssen |
| 2024 | ICLR | MAP IT to Visualize Representations. | Robert Jenssen |
| 2024 | ICLR | Cauchy-Schwarz Divergence Information Bottleneck for Regression. | Shujian Yu, Xi Yu, Sigurd Lkse, Robert Jenssen, Jos C. Prncipe |
| 2024 | ICML | Finding NEM-U: Explaining unsupervised representation learning through neural network generated explanation masks. | Bjrn Leth Mller, Christian Igel, Kristoffer Knutsen Wickstrm, Jon Sporring, Robert Jenssen, Bulat Ibragimov |
| 2023 | CVPR | Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings. | Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Lkse, Kristoffer Knutsen Wickstrm, Robert Jenssen, Michael C. Kampffmeyer |
| 2023 | CVPR | On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. | Daniel J. Trosten, Sigurd Lkse, Robert Jenssen, Michael C. Kampffmeyer |
| 2023 | ICASSP | Supercm: Revisiting Clustering for Semi-Supervised Learning. | Durgesh Singh, Ahcne Boubekki, Robert Jenssen, Michael C. Kampffmeyer |
| 2022 | UAI | Principle of relevant information for graph sparsification. | Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jos C. Prncipe |
| 2021 | AAAI | Measuring Dependence with Matrix-based Entropy Functional. | Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jos C. Prncipe |
| 2021 | CVPR | Reconsidering Representation Alignment for Multi-View Clustering. | Daniel J. Trosten, Sigurd Lkse, Robert Jenssen, Michael Kampffmeyer |
| 2020 | CVPR | The 1st Agriculture-Vision Challenge: Methods and Results. | Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Brre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang |
| 2020 | CVPR | Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. | Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Brre Salberg |
| 2020 | CVPR | A generic unfolding algorithm for manifolds estimated by local linear approximations. | Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus |
| 2020 | ECCV | SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks. | Van Nhan Nguyen, Sigurd Lkse, Kristoffer Wickstrm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen |
| 2020 | IGARSS | Self-Constructing Graph Convolutional Networks for Semantic Labeling. | Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Brre Salberg |
| 2019 | ICASSP | Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. | Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen |
| 2019 | IGARSS | Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. | Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Brre Salberg |
| 2018 | ESANN | Learning compressed representations of blood samples time series with missing data. | Filippo Maria Bianchi, Karl yvind Mikalsen, Robert Jenssen |
| 2018 | ESANN | Bidirectional deep-readout echo state networks. | Filippo Maria Bianchi, Simone Scardapane, Sigurd Lkse, Robert Jenssen |
| 2018 | ICASSP | Ranking Using Transition Probabilities Learned from Multi-Attribute Data. | Sigurd Lkse, Robert Jenssen |
| 2018 | IGARSS | A Comparison of Deep Learning Architectures for Semantic Mapping of Very High Resolution Images. | Qinghui Liu, Arnt-Brre Salberg, Robert Jenssen |
| 2017 | ICASSP | Density ridge manifold traversal. | Jonas Nordhaug Myhre, Michael Kampffmeyer, Robert Jenssen |
| 2017 | IJCNN | Temporal overdrive recurrent neural network. | Filippo Maria Bianchi, Michael Kampffmeyer, Enrico Maiorino, Robert Jenssen |
| 2017 | IJCNN | Critical echo state network dynamics by means of Fisher information maximization. | Filippo Maria Bianchi, Lorenzo Livi, Robert Jenssen, Cesare Alippi |
| 2017 | IGARSS | Urban land cover classification with missing data using deep convolutional neural networks. | Michael Kampffmeyer, Arnt-Brre Salberg, Robert Jenssen |
| 2016 | CVPR | Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks. | Michael Kampffmeyer, Arnt-Brre Salberg, Robert Jenssen |
| 2015 | AMIA | Data-driven Temporal Prediction of Surgical Site Infection. | Cristina Soguero-Ruz, Fei Wang, Robert Jenssen, Knut Magne Augestad, Jos Luis Rojo-lvarez, Inmaculada Mora-Jimnez, Rolv-Ole Lindsetmo, Stein Olav Skrvseth |
| 2015 | IGARSS | Sensitivity analysis of Gaussian processes for oceanic chlorophyll prediction. | Katalin Blix, Gustau Camps-Valls, Robert Jenssen |
| 2011 | IGARSS | Kernel entropy component analysis in remote sensing data clustering. | Luis Gmez-Chova, Robert Jenssen, Gustavo Camps-Valls |
| 2006 | IJCNN | Information Theoretic Angle-Based Spectral Clustering: A Theoretical Analysis and an Algorithm. | Robert Jenssen, Deniz Erdogmus, Jos C. Prncipe |
| 2005 | ICASSP | The Laplacian spectral classifier. | Robert Jenssen, Deniz Erdogmus, Jos C. Prncipe, Torbjrn Eltoft |
| 2005 | ICASSP | An information-theoretic perspective to kernel independent components analysis. | Jian-Wu Xu, Deniz Erdogmus, Robert Jenssen, Jos C. Prncipe |
| 2004 | IJCNN | Information theoretic spectral clustering. | Robert Jenssen, Torbjrn Eltoft, Jos C. Prncipe |
| 2003 | IJCNN | Accurate initialization of neural network weights by backpropagation of the desired response. | Deniz Erdogmus, Oscar Fontenla-Romero, Jos C. Prncipe, Amparo Alonso-Betanzos, Enrique F. Castillo, Robert Jenssen |
| 2003 | IJCNN | Clustering using Renyi's entropy. | Robert Jenssen, Kenneth E. Hild II, Deniz Erdogmus, Jos C. Prncipe, Torbjrn Eltoft |