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Sigurd Løkse
Sigurd Løkse
Postdoctoral Research Fellow at UiT The Arctic University of Norway
Verified email at uit.no
Title
Cited by
Cited by
Year
Reservoir computing approaches for representation and classification of multivariate time series
FM Bianchi, S Scardapane, S Løkse, R Jenssen
IEEE transactions on neural networks and learning systems 32 (5), 2169-2179, 2020
702020
Training echo state networks with regularization through dimensionality reduction
S Løkse, FM Bianchi, R Jenssen
Cognitive Computation 9 (3), 364-378, 2017
532017
Robust clustering using a kNN mode seeking ensemble
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Pattern Recognition 76, 491-505, 2018
382018
Deep divergence-based approach to clustering
M Kampffmeyer, S Løkse, FM Bianchi, L Livi, AB Salberg, R Jenssen
Neural Networks 113, 91-101, 2019
282019
Information plane analysis of deep neural networks via matrix-based Renyi's entropy and tensor kernels
K Wickstrøm, S Løkse, M Kampffmeyer, S Yu, J Principe, R Jenssen
arXiv preprint arXiv:1909.11396, 2019
242019
Bidirectional deep-readout echo state networks
FM Bianchi, S Scardapane, S Løkse, R Jenssen
arXiv preprint arXiv:1711.06509, 2017
212017
Deep kernelized autoencoders
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Scandinavian conference on image analysis, 419-430, 2017
212017
The deep kernelized autoencoder
M Kampffmeyer, S Løkse, FM Bianchi, R Jenssen, L Livi
Applied Soft Computing 71, 816-825, 2018
142018
Sen: A novel feature normalization dissimilarity measure for prototypical few-shot learning networks
VN Nguyen, S Løkse, K Wickstrøm, M Kampffmeyer, D Roverso, ...
European Conference on Computer Vision, 118-134, 2020
132020
Reconsidering representation alignment for multi-view clustering
DJ Trosten, S Lokse, R Jenssen, M Kampffmeyer
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
122021
Spectral Clustering Using PCKID – A Probabilistic Cluster Kernel for Incomplete Data
S Løkse, FM Bianchi, AB Salberg, R Jenssen
Scandinavian Conference on Image Analysis, 431-442, 2017
72017
Information plane analysis of deep neural networks via matrix-based Renyi’s entropy and tensor kernels. arXiv 2019
K Wickstrøm, S Løkse, M Kampffmeyer, S Yu, J Principe, R Jenssen
arXiv preprint arXiv:1909.11396, 0
7
Consensus clustering using knn mode seeking
JN Myhre, KØ Mikalsen, S Løkse, R Jenssen
Scandinavian Conference on Image Analysis, 175-186, 2015
62015
Joint ranking and clustering based on Markov Chain transition probabilities learned from data
S Løkse
UiT Norges arktiske universitet, 2014
12014
The Kernelized Taylor Diagram
K Wickstrøm, JE Johnson, S Løkse, G Camps-Valls, KØ Mikalsen, ...
arXiv preprint arXiv:2205.08864, 2022
2022
RELAX: Representation Learning Explainability
KK Wickstrøm, DJ Trosten, S Løkse, KØ Mikalsen, MC Kampffmeyer, ...
arXiv preprint arXiv:2112.10161, 2021
2021
Ranking Using Transition Probabilities Learned from Multi-Attribute Data
S Lokse, R Jenssen
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
2018
Bidirectional deep echo state networks
FM Bianchi, S Scardapane, S Løkse, R Jenssen
arXiv preprint arXiv:1711.06509, 2017
2017
Supplementary material: Reconsidering Representation Alignment for Multi-view Clustering
DJ Trosten, S Løkse, R Jenssen, M Kampffmeyer
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