Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples

Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples

Stable Recovery of Entangled Weights: Towards Robust Identification of Deep Neural Networks from Minimal Samples

Authors: C. Fiedler, M. Fornasier, T. Klock and M. Rauchensteiner
Status: Submitted
Publication type: Journal Article
Year of publication: 2021
Journal: arXiv
Publisher: arXiv
URL: https://arxiv.org/pdf/2101.07150.pdf
Citation key: 16007

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