On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning.

arXiv:2606.22352v2 Announce Type: replace-cross Abstract: Dictionary learning has long been studied from both optimization and probabilistic perspectives. While formulations with element-wise sparsity regularization (e.g., L1-based sparse coding) admit well-es