Per Sidén

According to our database, Per Sidén authored at least 10 papers between 2017 and 2024.

Collaborative distances:

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

2024

On Partial Prototype Collapse in the DINO Family of Self-Supervised Methods.

Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten

CoRR, 2024

2023

DINO as a von Mises-Fisher mixture model.

Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Temporal Graph Neural Networks for Irregular Data.

Joel Oskarsson, Per Sidén, Fredrik Lindsten

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Scalable Deep Gaussian Markov Random Fields for General Graphs.

Joel Oskarsson, Per Sidén, Fredrik Lindsten

Proceedings of the International Conference on Machine Learning, 2022

2020

Anatomically Informed Bayesian Spatial Priors for FMRI Analysis.

David Abramian, Per Sidén, Hans Knutsson, Mattias Villani, Anders Eklund

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Deep Gaussian Markov Random Fields.

Per Sidén, Fredrik Lindsten

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Real-Time Robotic Search using Hierarchical Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

CoRR, 2019

Real-Time Robotic Search using Structural Spatial Point Processes.

Olov Andersson, Per Sidén, Johan Dahlin, Patrick Doherty, Mattias Villani

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

2017

Fast Bayesian whole-brain fMRI analysis with spatial 3D priors.

Per Sidén, Anders Eklund, David Bolin, Mattias Villani

NeuroImage, 2017

Bayesian Diffusion Tensor Estimation with Spatial Priors.

Xuan Gu, Per Sidén, Bertil Wegmann, Anders Eklund, Mattias Villani, Hans Knutsson

Proceedings of the Computer Analysis of Images and Patterns, 2017