Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks is a scholarly article[1].
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APA4ort.xyz Knowledge Graph. (2026). Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks
MLA“Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks.
BibTeX@misc{4ortxyz_dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks — https://4ort.xyz/entity/dynamical-isometry-and-a-mean-field-theory-of-rnns-gating-enables-signal-propagation-in-recurrent-neural-networks (retrieved 2026-05-24)
