FALCON: Few-step Accurate Likelihoods for Continuous Flows

This article introduces FALCON, a method for improving the accuracy of likelihood estimation in continuous normalizing flows. The focus is on achieving accurate likelihoods with fewer steps, which could lead to more efficient training and inference. The source is ArXiv, indicating a research paper.