Sigurd Løkse

35 papers A* 4B 1Misc 1Journal 23Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series Data and Sequential Decision Making.
IEEE Trans. Pattern Anal. Mach. Intell.
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024 A* conf
Cauchy-Schwarz Divergence Information Bottleneck for Regression.
ICLR
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024 J jnl
Cauchy-Schwarz Divergence Information Bottleneck for Regression.
CoRR
Shujian Yu, Xi Yu, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2024 J jnl
Leveraging tensor kernels to reduce objective function mismatch in deep clustering.
Pattern Recognit.
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2023 J jnl
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.
Entropy
Kristoffer K. Wickstrøm, Sigurd Løkse, Michael C. Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2023 A* conf
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings.
CVPR
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023 J jnl
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings.
CoRR
Daniel J. Trosten, Rwiddhi Chakraborty, Sigurd Løkse, Kristoffer Knutsen Wickstrøm, Robert Jenssen, Michael C. Kampffmeyer
2023 A* conf
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering.
CVPR
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023 J jnl
On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering.
CoRR
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael C. Kampffmeyer
2023 J jnl
RELAX: Representation Learning Explainability.
Int. J. Comput. Vis.
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Ahcène Boubekki, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2023 J jnl
The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.
CoRR
Shujian Yu, Hongming Li, Sigurd Løkse, Robert Jenssen, José C. Príncipe
2022 — conf
The Kernelized Taylor Diagram.
NAIS
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2022 J jnl
The Kernelized Taylor Diagram.
CoRR
Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, Robert Jenssen
2021 J jnl
RELAX: Representation Learning Explainability.
CoRR
Kristoffer K. Wickstrøm, Daniel J. Trosten, Sigurd Løkse, Karl Øyvind Mikalsen, Michael C. Kampffmeyer, Robert Jenssen
2021 A* conf
Reconsidering Representation Alignment for Multi-View Clustering.
CVPR
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021 J jnl
Reconsidering Representation Alignment for Multi-view Clustering.
CoRR
Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer
2021 J jnl
Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.
IEEE Trans. Neural Networks Learn. Syst.
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2020 — conf
SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks.
ECCV (23)
Van Nhan Nguyen, Sigurd Løkse, Kristoffer Wickstrøm, Michael Kampffmeyer, Davide Roverso, Robert Jenssen
2019 J jnl
Deep Divergence-Based Approach to Clustering.
CoRR
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019 J jnl
Deep divergence-based approach to clustering.
Neural Networks
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2019 J jnl
Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.
CoRR
Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, José C. Príncipe, Robert Jenssen
2018 B conf
Bidirectional deep-readout echo state networks.
ESANN
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018 Misc conf
Ranking Using Transition Probabilities Learned from Multi-Attribute Data.
ICASSP
Sigurd Løkse, Robert Jenssen
2018 J jnl
Reservoir computing approaches for representation and classification of multivariate time series.
CoRR
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2018 J jnl
Robust clustering using a kNN mode seeking ensemble.
Pattern Recognit.
Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen
2018 J jnl
The Deep Kernelized Autoencoder.
CoRR
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2018 J jnl
The deep kernelized autoencoder.
Appl. Soft Comput.
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017 J jnl
Bidirectional deep echo state networks.
CoRR
Filippo Maria Bianchi, Simone Scardapane, Sigurd Løkse, Robert Jenssen
2017 — conf
Deep Kernelized Autoencoders.
SCIA (1)
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017 J jnl
Deep Kernelized Autoencoders.
CoRR
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen, Lorenzo Livi
2017 — conf
Deep divergence-based clustering.
MLSP
Michael Kampffmeyer, Sigurd Løkse, Filippo Maria Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen
2017 — conf
Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data.
SCIA (1)
Sigurd Løkse, Filippo Maria Bianchi, Arnt-Børre Salberg, Robert Jenssen
2017 J jnl
Training Echo State Networks with Regularization Through Dimensionality Reduction.
Cogn. Comput.
Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2016 J jnl
Training Echo State Networks with Regularization through Dimensionality Reduction.
CoRR
Sigurd Løkse, Filippo Maria Bianchi, Robert Jenssen
2015 — conf
Consensus Clustering Using kNN Mode Seeking.
SCIA
Jonas Nordhaug Myhre, Karl Øyvind Mikalsen, Sigurd Løkse, Robert Jenssen