AI RESEARCH

MF-GLaM: A multifidelity stochastic emulator using generalized lambda models

arXiv CS.LG

ArXi:2507.10303v2 Announce Type: replace-cross Stochastic simulators exhibit intrinsic stochasticity due to unobservable, uncontrollable, or unmodeled input variables, resulting in random outputs even at fixed input conditions. Such simulators are common across various scientific disciplines; however, emulating their entire conditional probability distribution is challenging, as it is a task traditional deterministic surrogate modeling techniques are not designed for.