Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks

Research article (Physical Review E, 2015) · cited 18× · AI/ML
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Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks

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Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/eigenspectrum-bounds-for-semirandom-matrices-with-modular-and-spatial-structure-for-neural-networks
MLA “Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/eigenspectrum-bounds-for-semirandom-matrices-with-modular-and-spatial-structure-for-neural-networks.
BibTeX @misc{4ortxyz_eigenspectrum-bounds-for-semirandom-matrices-with-modular-and-spatial-structure-for-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Eigenspectrum bounds for semirandom matrices with modular and spatial structure for neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/eigenspectrum-bounds-for-semirandom-matrices-with-modular-and-spatial-structure-for-neural-networks}, note = {Accessed: 2026-05-24}}
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