Jongmin Mun

Multifidelity Computer Model Emulation Via Diffusion Model Steering and Targeted Maximum Likelihood

We develop a multifidelity method for fusing low-resolution simulations with computationally expensive high-resolution simulations, which are run infrequently and are therefore prone to bias. We formulate this fusion as a constrained optimization under missing-not-at-random (MNAR) selection bias. This formulation searc...