"Gradients should stay on Path: Better Estimators of the Reverse- and ..."

Lorenz Vaitl et al. (2022)

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DOI: 10.48550/ARXIV.2207.08219

access: open

type: Informal or Other Publication

metadata version: 2022-07-19

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  - journals/corr/abs-2207-08219
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  - https://dblp.org/rec/journals/corr/abs-2207-08219
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. CoRR abs/2207.08219 (2022)

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