Rebecka Jörnsten

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 13

Top Topics

Kernel Ridge Regression

Optimization Methods

Top Venues

Briefings Bioinform.

J. Mach. Learn. Res.

Publications

Ziming Wang, Rebecka Jörnsten
SE(3)-bi-equivariant Transformers for Point Cloud Assembly. CoRR (2024)
David Martínez-Enguita, Sanjiv K. Dwivedi, Rebecka Jörnsten, Mika Gustafsson
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures. Briefings Bioinform. 24 (5) (2023)
Oskar Allerbo, Rebecka Jörnsten
Solving Kernel Ridge Regression with Gradient-Based Optimization Methods. CoRR (2023)
Viktor Andersson, Balázs Varga, Vincent Szolnoky, Andreas Syrén, Rebecka Jörnsten, Balázs Kulcsár
Controlled Descent Training. CoRR (2023)
Oskar Allerbo, Rebecka Jörnsten
Bandwidth Selection for Gaussian Kernel Ridge Regression via Jacobian Control. CoRR (2022)
Oskar Allerbo, Rebecka Jörnsten
Flexible, non-parametric modeling using regularized neural networks. Comput. Stat. 37 (4) (2022)
Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. NeurIPS (2022)
Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. CoRR (2022)
Oskar Allerbo, Rebecka Jörnsten
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders. CoRR (2021)
Oskar Allerbo, Rebecka Jörnsten
Non-linear, Sparse Dimensionality Reduction via Path Lasso Penalized Autoencoders. J. Mach. Learn. Res. 22 (2021)
Olof Zetterqvist, Rebecka Jörnsten, Johan Jonasson
Robust Neural Network Classification via Double Regularization. CoRR (2021)
Oskar Allerbo, Rebecka Jörnsten
Flexible, Non-parametric Modeling Using Regularized Neural Networks. CoRR (2020)
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
LASSIM - A network inference toolbox for genome-wide mechanistic modeling. PLoS Comput. Biol. 13 (6) (2017)
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang
A meta-data based method for DNA microarray imputation. BMC Bioinform. 8 (2007)
Rebecka Jörnsten, Hui-Yu Wang, William J. Welsh, Ming Ouyang
DNA microarray data imputation and significance analysis of differential expression. Bioinform. 21 (22) (2005)
Rebecka Jörnsten, Bin Yu
Simultaneous Gene Clustering and Subset Selection for Sample Classification Via MDL. Bioinform. 19 (9) (2003)
Rebecka Jörnsten, Wei Wang, Bin Yu, Kannan Ramchandran
Microarray image compression: SLOCO and the effect of information loss. Signal Process. 83 (4) (2003)
Rebecka Jörnsten, Bin Yu
Compression of cDNA microarray images. ISBI (2002)
Rebecka Jörnsten, Bin Yu, Wei Wang, Kannan Ramchandran
Compression of cDNA and inkjet microarray images. ICIP (3) (2002)