2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
ICML 2023poster
Training normalizing flow generative models can be challenging due to the need to calculate computationally expensive determinants of Jacobians. This paper studies the likelihood-free training of flows and proposes the energy objective, an alternative sample-based loss based on proper scoring rules.…