Master's thesis: A Vision Transformer Prior for Bayesian Inference in Binary Spatial Fields
Realistic subsurface models are hard to condition and tractable statistical ones lack geological realism. We use a Vision Transformer as an approximate prior with sampling corrections for posterior inference and a built-in proposal-quality diagnostic.