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Reconsidering Representation Alignment for Multi-view Clustering


Mar 13, 2021
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer

* To appear in CVPR 2021. Code available at https://github.com/DanielTrosten/mvc 

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Measuring Dependence with Matrix-based Entropy Functional


Jan 25, 2021
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose C. Principe

* Accepted at AAAI-21. An interpretable and differentiable dependence (or independence) measure that can be used to 1) train deep network under covariate shift and non-Gaussian noise; 2) implement a deep deterministic information bottleneck; and 3) understand the dynamics of learning of CNN. Code available at https://bit.ly/AAAI-dependence 

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Joint Optimization of an Autoencoder for Clustering and Embedding


Dec 07, 2020
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen


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Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series


Oct 16, 2020
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen

* 11 pages, 9 figures, code at https://github.com/Wickstrom/TimeSeriesXAI 

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SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation


Sep 03, 2020
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

* 11 pages, 5 figs. Draf version to TGRS, code will be open soon 

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The 1st Agriculture-Vision Challenge: Methods and Results


Apr 23, 2020
Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Junhee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt B. Salberg, Alexandre Barbosa, Rodrigo Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Ng, Van Thong Huynh, Soo-Hyung Kim, In-Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay Talbar, Jianyu Tang

* CVPR 2020 Workshop 

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Self-Constructing Graph Convolutional Networks for Semantic Labeling


Apr 23, 2020
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

* IGARSS-2020, code at: github.com/samleoqh/MSCG-Net 

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Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation


Apr 21, 2020
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

* 7-page, MSCG-Net, CVPRW-2020 

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Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images


Apr 15, 2020
Luigi T. Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo M. Bianchi, Gabriele Moser, Robert Jenssen, Stian N. Anfinsen


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A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs


Feb 27, 2020
Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Robert Jenssen

* 2020 International Workshop on Health Intelligence, AAAI-20. arXiv admin note: text overlap with arXiv:1907.05251 

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LS-Net: Fast Single-Shot Line-Segment Detector


Jan 24, 2020
Van Nhan Nguyen, Robert Jenssen, Davide Roverso

* Highlighted the paper's contributions 

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Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives


Jan 20, 2020
Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen

* Submitted to IEEE Transactions on Neural Networks and Learning Systems 

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Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection


Jan 13, 2020
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen


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Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels


Sep 25, 2019
Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, Jose Principe, Robert Jenssen

* 15 pages, 8 figures 

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Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network


Sep 07, 2019
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

* IGARSS 2019. arXiv admin note: text overlap with arXiv:1908.11799 

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Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images


Aug 30, 2019
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

* JURSE 2019 

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Time series cluster kernels to exploit informative missingness and incomplete label information


Jul 10, 2019
Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen

* arXiv admin note: text overlap with arXiv:1803.07879 

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Deep Generative Models for Reject Inference in Credit Scoring


Apr 12, 2019
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen


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Learning Latent Representations of Bank Customers With The Variational Autoencoder


Mar 14, 2019
Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen

* arXiv admin note: substantial text overlap with arXiv:1806.02538 

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Noisy multi-label semi-supervised dimensionality reduction


Feb 20, 2019
Karl Øyvind Mikalsen, Cristina Soguero-Ruiz, Filippo Maria Bianchi, Robert Jenssen

* Pattern Recognition, Vol 90, June 2019, Pages 257-270 
* 38 pages 

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Deep Divergence-Based Approach to Clustering


Feb 13, 2019
Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen


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Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series


Nov 29, 2018
Daniel J. Trosten, Andreas S. Strauman, Michael Kampffmeyer, Robert Jenssen


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Reservoir computing approaches for representation and classification of multivariate time series


Nov 06, 2018
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen


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Understanding Convolutional Neural Network Training with Information Theory


Oct 12, 2018
Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, Jose C. Principe

* substantial improvement over v1 

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Multivariate Extension of Matrix-based Renyi's α-order Entropy Functional


Aug 23, 2018
Shujian Yu, Luis Gonzalo Sanchez Giraldo, Robert Jenssen, Jose C. Principe

* 26 pages, 8 figures 

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The Deep Kernelized Autoencoder


Jul 23, 2018
Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi, Robert Jenssen, Lorenzo Livi

* This work extends the preliminary (conference) version of this paper (arXiv:1702.02526), Applied Soft Computing, Elsevier, 2018 

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An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting


Jul 20, 2018
Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen

* Springer Briefs in Computer Science (ISBN 978-3-319-70338-1), 2017 

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