Preprint Open access
Exploiting Gradients in Bayesian Inference of Expensive Simulators
Simulators based on differential equations are ubiquitous in science and engineering. They are often used in simulation-based inference to evaluate the posterior distribution of the input parameters based on real-world observations of the simulator outputs. However, inference becomes challenging when individual simulat …