Christopher E. Miles

Bayesian bilevel operator learning with low-rank adaptation for efficient uncertainty quantification of PDE inverse problems

Abstract Uncertainty quantification in PDE inverse problems is essential in many applications. Scientific machine learning and AI enable data-driven learning of model components while preserving physical structure, and provide the scalability and adaptability needed for emerging...