For a simplified tensor-sensing surrogate of the BDPR problem, the population risk has only benign critical points and Riemannian gradient descent converges linearly under a restricted-isometry condition.
A neural network approach for the blind deconvolution of turbulent flows,
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Landscape Analysis of Simultaneous Blind Deconvolution and Phase Retrieval via Structured Low-Rank Tensor Recovery
For a simplified tensor-sensing surrogate of the BDPR problem, the population risk has only benign critical points and Riemannian gradient descent converges linearly under a restricted-isometry condition.