mlsanityData to 14 Oct 2026

Probabilistic Transformers

arXiv 2010.15583 ↗First posted 15 Oct 2020cs.LG stat.MLcited by 1

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Abstract (arXiv)

We show that Transformers are Maximum Posterior Probability estimators for Mixtures of Gaussian Models. This brings a probabilistic point of view to Transformers and suggests extensions to other probabilistic cases.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 15 Oct 2020.

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Citing papers per year: 2024: 1.

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  1. 2024Gradient-free variational learning with conditional mixture networkscited by 4