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Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows

Research article (Machine Learning Science and Technology, 2022) · cited 14× · AI/ML
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Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows

Summary

Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows is a scholarly article[1].

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  • Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows's instance of is recorded as scholarly article[2].

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Shinichi Nakajima

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows. Retrieved May 24, 2026, from https://4ort.xyz/entity/gradients-should-stay-on-path-better-estimators-of-the-reverse-and-forward-kl-divergence-for-normalizing-flows
MLA “Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gradients-should-stay-on-path-better-estimators-of-the-reverse-and-forward-kl-divergence-for-normalizing-flows.
BibTeX @misc{4ortxyz_gradients-should-stay-on-path-better-estimators-of-the-reverse-and-forward-kl-divergence-for-normalizing-flows_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows}}, year = {2026}, url = {https://4ort.xyz/entity/gradients-should-stay-on-path-better-estimators-of-the-reverse-and-forward-kl-divergence-for-normalizing-flows}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows — https://4ort.xyz/entity/gradients-should-stay-on-path-better-estimators-of-the-reverse-and-forward-kl-divergence-for-normalizing-flows (retrieved 2026-05-24)

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