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2020 – today
- 2024
[i8]Maria Bånkestad, Jennifer Andersson, Sebastian Mair, Jens Sjölund:
Ising on the Graph: Task-specific Graph Subsampling via the Ising Model. CoRR abs/2402.10206 (2024)- [i7]Maria Bånkestad, Olof Mogren, Aleksis Pirinen:
Flexible SE(2) graph neural networks with applications to PDE surrogates. CoRR abs/2405.20287 (2024) - 2023
- [j2]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. Trans. Mach. Learn. Res. 2023 (2023) - [i6]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
Variational Elliptical Processes. CoRR abs/2311.12566 (2023) - [i5]Maria Bånkestad, Keven M. Dorst, Göran Widmalm, Jerk Rönnols:
Carbohydrate NMR chemical shift predictions using E(3) equivariant graph neural networks. CoRR abs/2311.12657 (2023) - 2022
- [i4]Jens Sjölund, Maria Bånkestad:
Graph-based Neural Acceleration for Nonnegative Matrix Factorization. CoRR abs/2202.00264 (2022) - [i3]Johan Broberg, Maria Bånkestad, Erik Ylipää:
Pre-training Transformers for Molecular Property Prediction Using Reaction Prediction. CoRR abs/2207.02724 (2022) - 2020
- [i2]Maria Bånkestad, Jens Sjölund, Jalil Taghia, Thomas B. Schön:
The Elliptical Processes: a New Family of Flexible Stochastic Processes. CoRR abs/2003.07201 (2020)
2010 – 2019
- 2019
- [i1]Jalil Taghia, Maria Bånkestad, Fredrik Lindsten, Thomas B. Schön:
Constructing the Matrix Multilayer Perceptron and its Application to the VAE. CoRR abs/1902.01182 (2019) - 2018
- [j1]Jens Sjölund, Anders Eklund
, Evren Özarslan, Magnus Herberthson, Maria Bånkestad, Hans Knutsson:
Bayesian uncertainty quantification in linear models for diffusion MRI. NeuroImage 175: 272-285 (2018)
Coauthor Index
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