46 citations · 48 across the 4 of their papers we have counts for
4 papers
DINO as a von Mises-Fisher mixture model
Hariprasath Govindarajan, Per Sidén, Jacob Roll +1
Self-distillation methods using Siamese networks are popular for self-supervised pre-training. DINO is one such method based on a cross-entropy loss between -dimensional probabi…
Real-Time Robotic Search using Hierarchical Spatial Point Processes
Olov Andersson, Per Sidén, Johan Dahlin +2
Aerial robots hold great potential for aiding Search and Rescue (SAR) efforts over large areas. Traditional approaches typically searches an area exhaustively, thereby ignoring tha…
Efficient Covariance Approximations for Large Sparse Precision Matrices
Per Sidén, Finn Lindgren, David Bolin +1
The use of sparse precision (inverse covariance) matrices has become popular because they allow for efficient algorithms for joint inference in high-dimensional models. Many applic…
Fast Bayesian whole-brain fMRI analysis with spatial 3D priors
Per Sidén, Anders Eklund, David Bolin +1
Spatial whole-brain Bayesian modeling of task-related functional magnetic resonance imaging (fMRI) is a great computational challenge. Most of the currently proposed methods theref…