Maria Bånkestad

According to our database, Maria Bånkestad authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

Flexible SE(2) graph neural networks with applications to PDE surrogates.

Maria Bånkestad, Olof Mogren, Aleksis Pirinen

CoRR, 2024

Ising on the Graph: Task-specific Graph Subsampling via the Ising Model.

Maria Bånkestad, Jennifer Andersson, Sebastian Mair, Jens Sjölund

CoRR, 2024

2023

Variational Elliptical Processes.

Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön

Trans. Mach. Learn. Res., 2023

Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networks.

Maria Bånkestad, Keven M. Dorst, Göran Widmalm, Jerk Rönnols

CoRR, 2023

2022

Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction.

Johan Broberg, Maria Bånkestad, Erik Ylipää

CoRR, 2022

Graph-based Neural Acceleration for Nonnegative Matrix Factorization.

Jens Sjölund, Maria Bånkestad

CoRR, 2022

2020

The Elliptical Processes: a New Family of Flexible Stochastic Processes.

Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön

CoRR, 2020

2019

Constructing the Matrix Multilayer Perceptron and its Application to the VAE.

Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön

CoRR, 2019

2018

Bayesian uncertainty quantification in linear models for diffusion MRI.

Jens Sjölund, Anders Eklund, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson

NeuroImage, 2018