Soft-OMP and Soft-IHT are differentiable relaxations of greedy sparse recovery algorithms with provable approximation guarantees, unrolled into trainable networks that outperform their classical counterparts on structured sparse recovery.
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Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms
Soft-OMP and Soft-IHT are differentiable relaxations of greedy sparse recovery algorithms with provable approximation guarantees, unrolled into trainable networks that outperform their classical counterparts on structured sparse recovery.