Per Sidén - researchr alias

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Viewing Publication 1 - 9 from 9

2023

DINO as a von Mises-Fisher mixture modelHariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten. iclr 2023: [doi]

Temporal Graph Neural Networks for Irregular DataJoel Oskarsson, Per Sidén, Fredrik Lindsten. aistats 2023: 4515-4531 [doi]

2022

Scalable Deep Gaussian Markov Random Fields for General GraphsJoel Oskarsson, Per Sidén, Fredrik Lindsten. icml 2022: 17117-17137 [doi]

2020

Anatomically Informed Bayesian Spatial Priors for FMRI AnalysisDavid Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund 0002. isbi 2020: 1026-1030 [doi]

Scalable Bayesian spatial analysis with Gaussian Markov random fields ; Skalbar Bayesiansk spatial analys med Gaussiska Markov-fältPer Sidén. PhD thesis, Linköping University, Sweden, 2020. [doi]

Deep {GPer Sidén, Fredrik Lindsten. icml 2020: 8916-8926 [doi]

2019

Real-Time Robotic Search using Structural Spatial Point ProcessesOlov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani. uai 2018: 368 [doi]

2017

Bayesian Diffusion Tensor Estimation with Spatial PriorsXuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson. caip 2017: 372-383 [doi]

Fast Bayesian whole-brain fMRI analysis with spatial 3D priorsPer Sidén, Anders Eklund, David Bolin, Mattias Villani. neuroimage, 146:211-225, 2017. [doi]

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