Stebėti
Per Sidén
Pavadinimas
Cituota
Cituota
Metai
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors
P Sidén, A Eklund, D Bolin, M Villani
NeuroImage 146, 211-225, 2017
512017
Deep Gaussian Markov random fields
P Sidén, F Lindsten
Proceedings of the 37th International Conference on Machine Learning 119 …, 2020
342020
Efficient Covariance Approximations for Large Sparse Precision Matrices
P Sidén, F Lindgren, D Bolin, M Villani
Journal of Computational and Graphical Statistics 27 (4), 898-909, 2018
182018
Temporal Graph Neural Networks for Irregular Data
J Oskarsson, P Sidén, F Lindsten
International Conference on Artificial Intelligence and Statistics, 4515-4531, 2023
172023
Spatial 3D Matérn priors for fast whole-brain fMRI analysis
P Sidén, F Lindgren, D Bolin, A Eklund, M Villani
Bayesian Analysis 1 (1), 1-28, 2021
172021
DINO as a von Mises-Fisher mixture model
H Govindarajan, P Sidén, J Roll, F Lindsten
The Eleventh International Conference on Learning Representations, 0
11*
Bayesian diffusion tensor estimation with spatial priors
X Gu, P Sidén, B Wegmann, A Eklund, M Villani, H Knutsson
International Conference on Computer Analysis of Images and Patterns, 2017
92017
Scalable Deep Gaussian Markov Random Fields for General Graphs
J Oskarsson, P Sidén, F Lindsten
International Conference on Machine Learning, 17117-17137, 2022
62022
Scalable Bayesian spatial analysis with Gaussian Markov random fields
P Sidén
Linköping University Electronic Press, 2020
42020
Real-Time Robotic Search using Structural Spatial Point Processes
O Andersson, P Sidén, J Dahlin, P Doherty, M Villani
Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence …, 2019
4*2019
Anatomically informed bayesian spatial priors for fmri analysis
D Abramian, P Sidén, H Knutsson, M Villani, A Eklund
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1026-1030, 2020
12020
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