Maria Bånkestad

According to our database, Maria Bånkestad authored at least 10 papers between 2018 and 2025.

Collaborative distances:

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

2025

Structured models for scientific machine learning: From graphs to kernels

Maria Bånkestad

PhD thesis, 2025

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 R. Andersson, Sebastian Mair, Jens Sjölund

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 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