Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation

Research article (International Conference on Machine Learning, 2020) · cited 26× · AI/ML
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Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation

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Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation. Retrieved May 24, 2026, from https://4ort.xyz/entity/compressive-sensing-with-un-trained-neural-networks-gradient-descent-finds-a-smooth-approximation
MLA “Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/compressive-sensing-with-un-trained-neural-networks-gradient-descent-finds-a-smooth-approximation.
BibTeX @misc{4ortxyz_compressive-sensing-with-un-trained-neural-networks-gradient-descent-finds-a-smooth-approximation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Compressive sensing with un-trained neural networks: Gradient descent finds a smooth approximation}}, year = {2026}, url = {https://4ort.xyz/entity/compressive-sensing-with-un-trained-neural-networks-gradient-descent-finds-a-smooth-approximation}, note = {Accessed: 2026-05-24}}
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