Jenssen, Robert

19 publications

ICML 2025 Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu, Michael Kampffmeyer

AAAI 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer, Robert Jenssen

ICLR 2024 Cauchy-Schwarz Divergence Information Bottleneck for Regression Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, Jose C Principe

ICML 2024 Finding NEM-U: Explaining Unsupervised Representation Learning Through Neural Network Generated Explanation Masks Bjørn Leth Møller, Christian Igel, Kristoffer Knutsen Wickstrøm, Jon Sporring, Robert Jenssen, Bulat Ibragimov

ICLR 2024 MAP IT to Visualize Representations Robert Jenssen

CVPR 2023 Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer

CVPR 2023 On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer

UAI 2022 Principle of Relevant Information for Graph Sparsification Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, Jose C. Principe

NeurIPS 2022 ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Salahuddin, Robert Jenssen, Marina Höhne, Michael Kampffmeyer

MLJ 2021 Joint Optimization of an Autoencoder for Clustering and Embedding Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen

AAAI 2021 Measuring Dependence with Matrix-Based Entropy Functional Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe

CVPR 2021 Reconsidering Representation Alignment for Multi-View Clustering Daniel J. Trosten, Sigurd Lokse, Robert Jenssen, Michael Kampffmeyer

CVPRW 2020 A Generic Unfolding Algorithm for Manifolds Estimated by Local Linear Approximations Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus

CVPRW 2020 Multi-View Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

ECCV 2020 SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen

CVPRW 2020 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-Børre 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

CVPRW 2016 Semantic Segmentation of Small Objects and Modeling of Uncertainty in Urban Remote Sensing Images Using Deep Convolutional Neural Networks Michael Kampffmeyer, Arnt-Børre Salberg, Robert Jenssen

NeurIPS 2006 Kernel Maximum Entropy Data Transformation and an Enhanced Spectral Clustering Algorithm Robert Jenssen, Torbjørn Eltoft, Mark Girolami, Deniz Erdogmus

NeurIPS 2004 The Laplacian PDF Distance: A Cost Function for Clustering in a Kernel Feature Space Robert Jenssen, Deniz Erdogmus, Jose Principe, Torbjørn Eltoft