Since their introduction, diffusion models have quickly become the preva...
Diffusion models have quickly become the go-to paradigm for generative
m...
Scientists and engineers employ stochastic numerical simulators to model...
Likelihood-free methods perform parameter inference in stochastic simula...
A normalizing flow models a complex probability density as an invertible...
A normalizing flow models a complex probability density as an invertible...
Neural density estimators are flexible families of parametric models whi...
Likelihood-free inference refers to inference when a likelihood function...