Sigurd Løkse

Int. J. Comput. Vis., June, 2023

Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy.

[BibT_eX]

[DOI]

Kristoffer K. Wickstrøm

Shujian Yu

José C. Príncipe

Entropy, June, 2023

The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making.

[BibT_eX]

[DOI]

CoRR, 2023

On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering.

[BibT_eX]

[DOI]

Daniel J. Trosten

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-Shot Learning with Hyperspherical Embeddings.

[BibT_eX]

[DOI]

Daniel J. Trosten

Rwiddhi Chakraborty

Kristoffer Knutsen Wickstrøm

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

The Kernelized Taylor Diagram.

[BibT_eX]

[DOI]

Kristoffer Wickstrøm

Juan Emmanuel Johnson

Proceedings of the Nordic Artificial Intelligence Research and Development, 2022

2021

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series.

[BibT_eX]

[DOI]

Simone Scardapane

IEEE Trans. Neural Networks Learn. Syst., 2021

RELAX: Representation Learning Explainability.

[BibT_eX]

[DOI]

Kristoffer K. Wickstrøm

Daniel J. Trosten

Karl Øyvind Mikalsen

CoRR, 2021

Reconsidering Representation Alignment for Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

SEN: A Novel Feature Normalization Dissimilarity Measure for Prototypical Few-Shot Learning Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Deep divergence-based approach to clustering.

[BibT_eX]

[DOI]

Arnt-Børre Salberg

Neural Networks, 2019

Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Robust clustering using a kNN mode seeking ensemble.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

The deep kernelized autoencoder.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

Ranking Using Transition Probabilities Learned from Multi-Attribute Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Bidirectional deep-readout echo state networks.

[BibT_eX]

[DOI]

Simone Scardapane

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Bidirectional deep echo state networks.

[BibT_eX]

[DOI]

Simone Scardapane

CoRR, 2017

Training Echo State Networks with Regularization Through Dimensionality Reduction.

[BibT_eX]

[DOI]

Cogn. Comput., 2017

Spectral Clustering Using PCKID - A Probabilistic Cluster Kernel for Incomplete Data.

[BibT_eX]

[DOI]

Arnt-Børre Salberg

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Deep Kernelized Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Deep divergence-based clustering.

[BibT_eX]

[DOI]

Arnt-Børre Salberg