2026
Multifidelity Simulation-based Inference for Computationally Expensive Simulators
ICLR 2026poster
Across many domains of science, stochastic models are an essential tool to understand the mechanisms underlying empirically observed data. Models can be of different levels of detail and accuracy, with models of high-fidelity (i.e., high accuracy) to the phenomena under study being often preferable.…