Maria Bånkestad

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Nonnegative Matrix

Multilayer Perceptron

Top Venues

Trans. Mach. Learn. Res.

Publications

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