Exponential expressivity in deep neural networks through transient chaos

Research article (arXiv (Cornell University), 2016) · cited 182× · AI/ML

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Exponential expressivity in deep neural networks through transient chaos

Summary

Exponential expressivity in deep neural networks through transient chaos is a scholarly article^[1].

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Exponential expressivity in deep neural networks through transient chaos's instance of is recorded as scholarly article^[2].

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Instance of scholarly article

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Authored by 3

Jascha Sohl‐Dickstein, Maithreyi Raghu, Subhaneil Lahiri

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Jascha Sohl‐Dickstein, Maithreyi Raghu, Subhaneil Lahiri

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[2] ↑ Exponential expressivity in deep neural networks through transient chaos — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Exponential expressivity in deep neural networks through transient chaos is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Exponential expressivity in deep neural networks through transient chaos. Retrieved May 24, 2026, from https://4ort.xyz/entity/exponential-expressivity-in-deep-neural-networks-through-transient-chaos

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“Exponential expressivity in deep neural networks through transient chaos.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exponential-expressivity-in-deep-neural-networks-through-transient-chaos.

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@misc{4ortxyz_exponential-expressivity-in-deep-neural-networks-through-transient-chaos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exponential expressivity in deep neural networks through transient chaos}}, year = {2026}, url = {https://4ort.xyz/entity/exponential-expressivity-in-deep-neural-networks-through-transient-chaos}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exponential expressivity in deep neural networks through transient chaos — https://4ort.xyz/entity/exponential-expressivity-in-deep-neural-networks-through-transient-chaos (retrieved 2026-05-24)

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