# Resampling Base Distributions of Normalizing Flows

@inproceedings{Stimper2021ResamplingBD, title={Resampling Base Distributions of Normalizing Flows}, author={Vincent Stimper and Bernhard Sch{\"o}lkopf and Jos{\'e} Miguel Hern{\'a}ndez-Lobato}, booktitle={International Conference on Artificial Intelligence and Statistics}, year={2021} }

Normalizing flows are a popular class of models for approximating probability distributions. However, their invertible nature lim-its their ability to model target distributions whose support have a complex topological structure, such as Boltzmann distributions. Several procedures have been proposed to solve this problem but many of them sacrifice invertibility and, thereby, tractability of the log-likelihood as well as other desir-able properties. To address these limitations, we introduce a…

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