"Gradients should stay on path: better estimators of the reverse- and ..."

Lorenz Vaitl et al. (2022)

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DOI: 10.1088/2632-2153/AC9455

access: open

type: Journal Article

metadata version: 2023-09-30

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Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows. Mach. Learn. Sci. Technol. 3(4): 45006 (2022)

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