2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Generalization Error Bounds for Iterative Recovery Algorithms Unfolded as Neural Networks
Ekkehard Schnoor, Arash Behboodi, Holger Rauhut
Motivated by the learned iterative soft thresholding algorithm (LISTA), we introduce a general class of neural networks suitable for sparse reconstruction from few linear measureme…
math.ST2020
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
Arash Behboodi, Holger Rauhut, Ekkehard Schnoor
Various iterative reconstruction algorithms for inverse problems can be unfolded as neural networks. Empirically, this approach has often led to improved results, but theoretical g…