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Sigurd Løkse
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Journal Articles
- 2024
- [j8]Daniel J. Trosten
, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer:
Leveraging tensor kernels to reduce objective function mismatch in deep clustering. Pattern Recognit. 149: 110229 (2024) - 2023
- [j7]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): 899 (2023) - [j6]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): 1584-1610 (2023) - 2021
- [j5]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): 2169-2179 (2021) - 2019
- [j4]Michael Kampffmeyer
, Sigurd Løkse, Filippo Maria Bianchi
, Lorenzo Livi
, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based approach to clustering. Neural Networks 113: 91-101 (2019) - 2018
- [j3]Michael Kampffmeyer
, Sigurd Løkse, Filippo Maria Bianchi
, Robert Jenssen, Lorenzo Livi
:
The deep kernelized autoencoder. Appl. Soft Comput. 71: 816-825 (2018) - [j2]Jonas Nordhaug Myhre
, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen:
Robust clustering using a kNN mode seeking ensemble. Pattern Recognit. 76: 491-505 (2018) - 2017
- [j1]Sigurd Løkse
, Filippo Maria Bianchi
, Robert Jenssen:
Training Echo State Networks with Regularization Through Dimensionality Reduction. Cogn. Comput. 9(3): 364-378 (2017)
Conference and Workshop Papers
- 2024
- [c12]Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. ICLR 2024 - 2023
- [c11]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: 7527-7536 - [c10]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: 23976-23985 - 2022
- [c9]Kristoffer Wickstrøm
, Juan Emmanuel Johnson
, Sigurd Løkse
, Gustau Camps-Valls
, Karl Øyvind Mikalsen
, Michael Kampffmeyer
, Robert Jenssen
:
The Kernelized Taylor Diagram. NAIS 2022: 125-131 - 2021
- [c8]Daniel J. Trosten
, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer:
Reconsidering Representation Alignment for Multi-View Clustering. CVPR 2021: 1255-1265 - 2020
- [c7]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: 118-134 - 2018
- [c6]Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen:
Bidirectional deep-readout echo state networks. ESANN 2018 - [c5]Sigurd Løkse, Robert Jenssen:
Ranking Using Transition Probabilities Learned from Multi-Attribute Data. ICASSP 2018: 2851-2855 - 2017
- [c4]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep divergence-based clustering. MLSP 2017: 1-6 - [c3]Michael Kampffmeyer
, Sigurd Løkse
, Filippo Maria Bianchi
, Robert Jenssen, Lorenzo Livi:
Deep Kernelized Autoencoders. SCIA (1) 2017: 419-430 - [c2]Sigurd Løkse
, Filippo Maria Bianchi
, Arnt-Børre Salberg, Robert Jenssen:
Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data. SCIA (1) 2017: 431-442 - 2015
- [c1]Jonas Nordhaug Myhre
, Karl Øyvind Mikalsen, Sigurd Løkse
, Robert Jenssen:
Consensus Clustering Using kNN Mode Seeking. SCIA 2015: 175-186
Informal and Other Publications
- 2024
- [i14]Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe:
Cauchy-Schwarz Divergence Information Bottleneck for Regression. CoRR abs/2404.17951 (2024) - 2023
- [i13]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 abs/2301.08970 (2023) - [i12]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 abs/2303.09352 (2023) - [i11]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 abs/2303.09877 (2023) - 2022
- [i10]Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen:
The Kernelized Taylor Diagram. CoRR abs/2205.08864 (2022) - 2021
- [i9]Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer:
Reconsidering Representation Alignment for Multi-view Clustering. CoRR abs/2103.07738 (2021) - [i8]Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen:
RELAX: Representation Learning Explainability. CoRR abs/2112.10161 (2021) - 2019
- [i7]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen:
Deep Divergence-Based Approach to Clustering. CoRR abs/1902.04981 (2019) - [i6]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 abs/1909.11396 (2019) - 2018
- [i5]Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen:
Reservoir computing approaches for representation and classification of multivariate time series. CoRR abs/1803.07870 (2018) - [i4]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
The Deep Kernelized Autoencoder. CoRR abs/1807.07868 (2018) - 2017
- [i3]Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi:
Deep Kernelized Autoencoders. CoRR abs/1702.02526 (2017) - [i2]Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen:
Bidirectional deep echo state networks. CoRR abs/1711.06509 (2017) - 2016
- [i1]Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen:
Training Echo State Networks with Regularization through Dimensionality Reduction. CoRR abs/1608.04622 (2016)
Coauthor Index
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last updated on 2024-08-08 20:12 CEST by the dblp team
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