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Unveiling the convergence of FBS-induced networks to their deep-layer limits provides theoretical guarantees for training deep unfolded architectures.
ResNets generalize better than you think: a new depth-uniform generalization bound reveals a structure-dependent term that improves asymptotic performance.
