Towards interpreting recurrent neural networks through probabilistic abstraction

Research article (Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020) · cited 15× · AI/ML
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Towards interpreting recurrent neural networks through probabilistic abstraction

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Towards interpreting recurrent neural networks through probabilistic abstraction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Towards interpreting recurrent neural networks through probabilistic abstraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction
MLA “Towards interpreting recurrent neural networks through probabilistic abstraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction.
BibTeX @misc{4ortxyz_towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Towards interpreting recurrent neural networks through probabilistic abstraction}}, year = {2026}, url = {https://4ort.xyz/entity/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Towards interpreting recurrent neural networks through probabilistic abstraction — https://4ort.xyz/entity/towards-interpreting-recurrent-neural-networks-through-probabilistic-abstraction (retrieved 2026-05-24)

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