mlsanityData to 7 Oct 2026

How to Not Measure Disentanglement

arXiv 1910.05587 ↗First posted 12 Oct 2019cs.LG stat.MLcited by 2

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Abstract (arXiv)

To evaluate disentangled representations several metrics have been proposed. However, theoretical guarantees for conventional metrics of disentanglement are missing. Moreover, conventional metrics do not have a consistent correlation with the outcomes of qualitative studies. In this paper we analyze metrics of disentanglement and their properties. We conclude that existing metrics of disentanglement were created to reflect different characteristics of disentanglement and do not satisfy two basic desirable properties: (1) assign a high score to representations that are disentangled according to the definition; and (2) assign a low score to representations that are entangled according to the definition. In addition, we propose a new metric of disentanglement and prove that it satisfies both of the properties.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 Oct 2019.

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