Arash Behboodi’s Equivariant Priors for Compressed Sensing

Arash Behboodi, a machine learning researcher at Qualcomm Technologies, joins us today. We discuss Arash’s paper Equivariant Priors for Compressed Sensing with Unknown Orientation, which proposes using equivariant generative models as a before to show that signals with unknown orientations can be recovered using iterative gradient descent on the latent space of these models and provides additional theoretical recovery guarantees.

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