Flow Annealed Importance Sampling Bootstrap

Normalizing flows are tractable density models that can approximate complicated target distributions, e.g. Boltzmann distributions of physical systems. However, current methods for training flows either suffer from mode-seeking behavior, use samples from the target generated beforehand by expensive...

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Bibliographic Details
Published inarXiv.org
Main Authors Laurence Illing Midgley, Stimper, Vincent, Simm, Gregor N C, Schölkopf, Bernhard, José Miguel Hernández-Lobato
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.03.2023
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