#machine learning
Jun 2026
Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Experimental results show that the learned correction variants improve reconstruction performance and convergence behavior over the baseline unfolded solver while preserving its algorithmic transparency.
Marco Morik, R. Xiao, Shinichi Nakajima et al.
· arXiv.org · 1 citation