Author

B. M. Afkham

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Preprint Sep 2026

B-GRASP: A Bayesian Framework for Inferring Graph Weights from SPDE-Inspired Dynamics

We present B-GRASP (Bayesian GRAph inference with SPDE priors), a Bayesian framework for inferring uncertain edge weights in stochastic dynamical systems on graphs from noisy observations of nodal states. The unknown edge weights parameterize the graph differential operator and therefore directly govern the evolution o...

Christina Schenk, B. Afkham · 0 citations

Jul 2026

3D Uncertainty Quantification for the Photo-Acoustic Tomography

Photoacoustic tomography (PAT) is a promising modality for high-resolution biomedical imaging, motivating the need for reliable uncertainty quantification (UQ) of reconstructed images. Bayesian approaches provide a rigorous framework for UQ but remain computationally challenging for realistic three-dimensional PAT and...

B. Afkham, A. Alghami, H. Yazdanian et al. · arXiv.org · 0 citations