Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.
Nagarajan.Electromagnetic Brain Imaging: A Bayesian Perspective
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Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.