Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes

Research article (Proceedings of the National Academy of Sciences, 2016) · cited 141× · AI/ML
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Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes

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Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes. Retrieved May 24, 2026, from https://4ort.xyz/entity/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-
MLA “Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-.
BibTeX @misc{4ortxyz_unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unreasonable effectiveness of learning neural networks: From accessible states and robust ensembles to basic algorithmic schemes}}, year = {2026}, url = {https://4ort.xyz/entity/unreasonable-effectiveness-of-learning-neural-networks-from-accessible-states-and-robust-ensembles-to-basic-algorithmic-}, note = {Accessed: 2026-05-24}}
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