Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories

We study the consequences of mode-collapse of normalizing flows in the context of lattice field theory. Normalizing flows allow for independent sampling. For this reason, it is hoped that they can avoid the tunneling problem of local-update MCMC algorithms for multi-modal distributions. In this work...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Nicoli, Kim A, Anders, Christopher J, Hartung, Tobias, Jansen, Karl, Kessel, Pan, Nakajima, Shinichi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bias Context Field theory Free energy Importance sampling Lattice vibration Markov chains Training
Online-Zugang:	Volltext
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