mlsanityData to 14 Oct 2026

Boolean Variation and Boolean Logic BackPropagation

arXiv 2311.07427 ↗First posted 13 Nov 2023cs.LG cs.DM cs.LOcited by 2

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Abstract (arXiv)

The notion of variation is introduced for the Boolean set and based on which Boolean logic backpropagation principle is developed. Using this concept, deep models can be built with weights and activations being Boolean numbers and operated with Boolean logic instead of real arithmetic. In particular, Boolean deep models can be trained directly in the Boolean domain without latent weights. No gradient but logic is synthesized and backpropagated through layers.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 31 of its 66 references that are in the map. First posted on arXiv 13 Nov 2023.

Builds on

31 of 66 references.

References · 31

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19 more
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Cited by year

Citing papers per year: 2024: 2.

2 papers.

  1. 2024BOLD: Boolean Logic Deep Learningcited by 3
  2. 2024Boolean Logic as an Error feedback mechanismcited by 0