Robert Jenssen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 148

Top Venues

Publications

Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Discriminative multimodal learning via conditional priors in generative models. Neural Networks 169 (2024)
Mingfei Lu, Shujian Yu, Robert Jenssen, Badong Chen
Generalized Cauchy-Schwarz Divergence and Its Deep Learning Applications. CoRR (2024)
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR (2024)
Duy Khoi Tran, Van Nhan Nguyen, Davide Roverso, Robert Jenssen, Michael Kampffmeyer
LSNetv2: Improving weakly supervised power line detection with bipartite matching. Expert Syst. Appl. 250 (2024)
Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Harald L. Joakimsen, Iver Martinsen, Luigi Tommaso Luppino, Andrew McDonald, Scott Hosking, Robert Jenssen
Interrogating Sea Ice Predictability With Gradients. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR (2024)
Robert Jenssen
MAP IT to Visualize Representations. ICLR (2024)
Jørgen Aarmo Lund, Karl Øyvind Mikalsen, Per Joel Burman, Ashenafi Zebene Woldaregay, Robert Jenssen
Instruction-guided deidentification with synthetic test cases for Norwegian clinical text. NLDL (2024)
Thea Brüsch, Kristoffer K. Wickstrøm, Mikkel N. Schmidt, Tommy S. Alstrøm, Robert Jenssen
Explaining time series models using frequency masking. CoRR (2024)
Changkyu Choi, Shujian Yu, Michael Kampffmeyer, Arnt-Børre Salberg, Nils Olav Handegard, Robert Jenssen
DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning. ICASSP (2024)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. 149 (2024)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. Int. J. Comput. Vis. 131 (6) (2023)
Durgesh Singh, Ahcène Boubekki, Robert Jenssen, Michael C. Kampffmeyer
Supercm: Revisiting Clustering for Semi-Supervised Learning. ICASSP (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CoRR (2023)
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making. CoRR (2023)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering. CVPR (2023)
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. CoRR (2023)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. Pattern Recognit. 136 (2023)
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. CoRR (2023)
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. Entropy 25 (6) (2023)
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. Comput. Medical Imaging Graph. 107 (2023)
Stine Hansen, Srishti Gautam, Suaiba Amina Salahuddin, Michael Kampffmeyer, Robert Jenssen
ADNet++: A few-shot learning framework for multi-class medical image volume segmentation with uncertainty-guided feature refinement. Medical Image Anal. 89 (2023)
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. MLSP (2023)
Ane Blázquez-García, Kristoffer Wickstrøm, Shujian Yu, Karl Øyvind Mikalsen, Ahcène Boubekki, Angel Conde, Usue Mori, Robert Jenssen, José Antonio Lozano
Selective Imputation for Multivariate Time Series Datasets With Missing Values. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
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. CVPR (2023)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
Demonstrating the Risk of Imbalanced Datasets in Chest X-Ray Image-Based Diagnostics by Prototypical Relevance Propagation. ISBI (2022)
Huamin Ren, Xiaomeng Su, Robert Jenssen, Jingyue Li, Stian Normann Anfinsen
Attention-guided Temporal Convolutional Network for Non-intrusive Load Monitoring. SmartGridComm (2022)
Kaizhong Zheng, Shujian Yu, Baojuan Li, Robert Jenssen, Badong Chen
BrainIB: Interpretable Brain Network-based Psychiatric Diagnosis with Graph Information Bottleneck. CoRR (2022)
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels. CoRR (2022)
Stine Hansen, Srishti Gautam, Robert Jenssen, Michael Kampffmeyer
Anomaly detection-inspired few-shot medical image segmentation through self-supervision with supervoxels. Medical Image Anal. 78 (2022)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation. CoRR (2022)
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
Deep Image Translation With an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Ahcène Boubekki, Jonas Nordhaug Myhre, Luigi Tommaso Luppino, Karl Øyvind Mikalsen, Arthur Revhaug, Robert Jenssen
Clinically Relevant Features for Predicting the Severity of Surgical Site Infections. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Generating customer's credit behavior with deep generative models. Knowl. Based Syst. 245 (2022)
Srishti Gautam, Ahcene Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. CoRR (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. CoRR (2022)
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
The Kernelized Taylor Diagram. NAIS (2022)
Suaiba Amina Salahuddin, Stine Hansen, Srishti Gautam, Michael Kampffmeyer, Robert Jenssen
A self-guided anomaly detection-inspired few-shot segmentation network. CVCS (2022)
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
Principle of relevant information for graph sparsification. UAI (2022)
Shujian Yu, Francesco Alesiani, Wenzhe Yin, Robert Jenssen, José C. Príncipe
Principle of Relevant Information for Graph Sparsification. CoRR (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing Up Contrastive Learning: Self-Supervised Representation Learning for Time Series. CoRR (2022)
Srishti Gautam, Ahcène Boubekki, Stine Hansen, Suaiba Amina Salahuddin, Robert Jenssen, Marina M.-C. Höhne, Michael Kampffmeyer
ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model. NeurIPS (2022)
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. CoRR (2022)
Kristoffer Wickstrøm, Michael Kampffmeyer, Karl Øyvind Mikalsen, Robert Jenssen
Mixing up contrastive learning: Self-supervised representation learning for time series. Pattern Recognit. Lett. 155 (2022)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Discriminative Multimodal Learning via Conditional Priors in Generative Models. CoRR (2021)
Stine Hansen, Samuel Kuttner, Michael Kampffmeyer, Tom-Vegard Markussen, Rune Sundset, Silje Kjærnes Øen, Live Eikenes, Robert Jenssen
Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI. Expert Syst. Appl. 167 (2021)
Srishti Gautam, Marina M.-C. Höhne, Stine Hansen, Robert Jenssen, Michael Kampffmeyer
This looks more like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. CoRR (2021)
Shujian Yu, Kristoffer Wickstrøm, Robert Jenssen, José C. Príncipe
Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Huamin Ren, Filippo Maria Bianchi, Jingyue Li, Rasmus L. Olsen, Robert Jenssen, Stian Normann Anfinsen
Towards Applicability: A Comparative Study on Non-Intrusive Load Monitoring Algorithms. ICCE (2021)
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
Measuring Dependence with Matrix-based Entropy Functional. AAAI (2021)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-View Clustering. CVPR (2021)
Óscar Escudero-Arnanz, Joaquín Rodríguez-Álvarez, Karl Øyvind Mikalsen, Robert Jenssen, Cristina Soguero-Ruíz
On the Use of Time Series Kernel and Dimensionality Reduction to Identify the Acquisition of Antimicrobial Multidrug Resistance in the Intensive Care Unit. CoRR (2021)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-modal land cover mapping of remote sensing images using pyramid attention and gated fusion networks. CoRR (2021)
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series. IEEE Trans. Neural Networks Learn. Syst. 32 (5) (2021)
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
Reconsidering Representation Alignment for Multi-view Clustering. CoRR (2021)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. Pattern Recognit. 115 (2021)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Learning latent representations of bank customers with the Variational Autoencoder. Expert Syst. Appl. 164 (2021)
Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe
Measuring Dependence with Matrix-based Entropy Functional. CoRR (2021)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. IEEE J. Biomed. Health Informatics 25 (7) (2021)
Van Nhan Nguyen, Robert Jenssen, Davide Roverso
LS-Net: fast single-shot line-segment detector. Mach. Vis. Appl. 32 (1) (2021)
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
RELAX: Representation Learning Explainability. CoRR (2021)
Daniel J. Trosten, Robert Jenssen, Michael C. Kampffmeyer
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective. NLDL (2021)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint optimization of an autoencoder for clustering and embedding. Mach. Learn. 110 (7) (2021)
Shujian Yu, Luis Gonzalo Sánchez Giraldo, Robert Jenssen, José C. Príncipe
Multivariate Extension of Matrix-Based Rényi's $\alpha$α-Order Entropy Functional. IEEE Trans. Pattern Anal. Mach. Intell. 42 (11) (2020)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Robert Jenssen
A Kernel to Exploit Informative Missingness in Multivariate Time Series from EHRs. CoRR (2020)
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. ECCV (23) (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CVPR Workshops (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions' Merging Network for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 58 (9) (2020)
Luigi Tommaso Luppino, Mads A. Hansen, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Robert Jenssen, Stian Normann Anfinsen
Code-Aligned Autoencoders for Unsupervised Change Detection in Multimodal Remote Sensing Images. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Land Cover Classification. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Self-Constructing Graph Convolutional Networks for Semantic Labeling. CoRR (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Self-Constructing Graph Convolutional Networks for Semantic Labeling. IGARSS (2020)
Daniel J. Trosten, Michael C. Kampffmeyer, Robert Jenssen
Deep Image Clustering with Tensor Kernels and Unsupervised Companion Objectives. CoRR (2020)
Ahcène Boubekki, Michael Kampffmeyer, Ulf Brefeld, Robert Jenssen
Joint Optimization of an Autoencoder for Clustering and Embedding. CoRR (2020)
Jonas Nordhaug Myhre, Matineh Shaker, Mustafa Devrim Kaba, Robert Jenssen, Deniz Erdogmus
A generic unfolding algorithm for manifolds estimated by local linear approximations. CVPR Workshops (2020)
Kristoffer Wickstrøm, Michael Kampffmeyer, Robert Jenssen
Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps. Medical Image Anal. 60 (2020)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation. CoRR (2020)
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
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops (2020)
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
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR (2020)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Deep generative models for reject inference in credit scoring. Knowl. Based Syst. 196 (2020)
Kristoffer Wickstrøm, Karl Øyvind Mikalsen, Michael Kampffmeyer, Arthur Revhaug, Robert Jenssen
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series. CoRR (2020)
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen
Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection. CoRR (2020)
Daniel J. Trosten, Andreas Storvik Strauman, Michael Kampffmeyer, Robert Jenssen
Recurrent Deep Divergence-based Clustering for Simultaneous Feature Learning and Clustering of Variable Length Time Series. ICASSP (2019)
Primoz Kocbek, Nino Fijacko, Cristina Soguero-Ruíz, Karl Øyvind Mikalsen, Uros Maver, Petra Povalej Brzan, Andraz Stozer, Robert Jenssen, Stein Olav Skrøvseth, Gregor Stiglic
Maximizing Interpretability and Cost-Effectiveness of Surgical Site Infection (SSI) Predictive Models Using Feature-Specific Regularized Logistic Regression on Preoperative Temporal Data. Comput. Math. Methods Medicine 2019 (2019)
Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
Learning representations of multivariate time series with missing data. Pattern Recognit. 96 (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network. CoRR (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. JURSE (2019)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Learning Latent Representations of Bank Customers With The Variational Autoencoder. CoRR (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep Divergence-Based Approach to Clustering. CoRR (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. Pattern Recognit. 90 (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images. CoRR (2019)
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg
Road Mapping in Lidar Images Using a Joint-Task Dense Dilated Convolutions Merging Network. IGARSS (2019)
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. CoRR (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Arthur Revhaug, Robert Jenssen
Time series cluster kernels to exploit informative missingness and incomplete label information. CoRR (2019)
Van Nhan Nguyen, Robert Jenssen, Davide Roverso
LS-Net: Fast Single-Shot Line-Segment Detector. CoRR (2019)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
Deep divergence-based approach to clustering. Neural Networks 113 (2019)
Karl Øyvind Mikalsen, Cristina Soguero-Ruíz, Filippo Maria Bianchi, Robert Jenssen
Noisy multi-label semi-supervised dimensionality reduction. CoRR (2019)
Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder. CoRR (2018)

Robert Jenssen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Robert Jenssen