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Sigurd Løkse
Sigurd Løkse
Postdoctoral Research Fellow at UiT The Arctic University of Norway
Verifisert e-postadresse på uit.no
Tittel
Sitert av
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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
682020
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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Artikler 1–19