Rebecka Jörnsten

According to our database, Rebecka Jörnsten authored at least 18 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Partial Distribution Matching via Partial Wasserstein Adversarial Networks.

Zi-Ming Wang, Nan Xue, Ling Lei, Rebecka Jörnsten, Gui-Song Xia

CoRR, 2024

SE(3)-bi-equivariant Transformers for Point Cloud Assembly.

Ziming Wang, Rebecka Jörnsten

CoRR, 2024

2023

NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures.

David Martínez-Enguita, Sanjiv K. Dwivedi, Rebecka Jörnsten, Mika Gustafsson

Briefings Bioinform., September, 2023

Elastic Gradient Descent, an Iterative Optimization Method Approximating the Solution Paths of the Elastic Net.

Oskar Allerbo, Johan Jonasson, Rebecka Jörnsten

J. Mach. Learn. Res., 2023

Solving Kernel Ridge Regression with Gradient-Based Optimization Methods.

Oskar Allerbo, Rebecka Jörnsten

CoRR, 2023

Controlled Descent Training.

Viktor Andersson, Balázs Varga, Vincent Szolnoky, Andreas Syrén, Rebecka Jörnsten, Balázs Kulcsár

CoRR, 2023

2022

Flexible, non-parametric modeling using regularized neural networks.

Oskar Allerbo, Rebecka Jörnsten

Comput. Stat., 2022

Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control.

Oskar Allerbo, Rebecka Jörnsten

CoRR, 2022

On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity.

Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders.

Oskar Allerbo, Rebecka Jörnsten

J. Mach. Learn. Res., 2021

Robust Neural Network Classification via Double Regularization.

Olof Zetterqvist, Rebecka Jörnsten, Johan Jonasson

CoRR, 2021

2017

LASSIM - A network inference toolbox for genome-wide mechanistic modeling.

Rasmus Magnusson, Guido Pio Mariotti, Mattias Köpsén, William Lövfors, Danuta R. Gawel, Rebecka Jörnsten, Jörg Linde, Torbjörn E. M. Nordling, Elin Nyman, Sylvie Schulze, Colm E. Nestor, Huan Zhang, Gunnar Cedersund, Mikael Benson, Andreas Tjärnberg, Mika Gustafsson

PLoS Comput. Biol., 2017

2007

A meta-data based method for DNA microarray imputation.

Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang

BMC Bioinform., 2007

2005

DNA microarray data imputation and significance analysis of differential expression.

Rebecka Jörnsten, Hui-Yu Wang, William J. Welsh, Ming Ouyang

Bioinform., 2005

2003

Microarray image compression: SLOCO and the effect of information loss.

Rebecka Jörnsten, Wei Wang, Bin Yu, Kannan Ramchandran

Signal Process., 2003

Simultaneous Gene Clustering and Subset Selection for Sample Classification Via MDL.

Rebecka Jörnsten, Bin Yu

Bioinform., 2003

2002

Compression of cDNA microarray images.

Rebecka Jörnsten, Bin Yu

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Compression of cDNA and inkjet microarray images.

Rebecka Jörnsten, Bin Yu, Wei Wang, Kannan Ramchandran

Proceedings of the 2002 International Conference on Image Processing, 2002