Simon Dirmeier

Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation

Neural likelihood estimation methods for simulation-based inference can suffer from performance degradation when the modeled data is very high-dimensional or lies along a lower-dimensional manifold, which is due to the inability of the density estimator to accurately estimate a density function. We