| The General sampling theorem, Compressed sensing and a method of image sampling and reconstruction with sampling rates close to the theoretical limit | Oct 17, 2021 | compressed sensing | —Unverified | 0 | 0 |
| The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties | Aug 20, 2018 | compressed sensingLearning Theory | —Unverified | 0 | 0 |
| The Network Nullspace Property for Compressed Sensing of Big Data over Networks | May 11, 2017 | compressed sensing | —Unverified | 0 | 0 |
| Theoretical limits of descending _0 sparse-regression ML algorithms | Oct 10, 2024 | compressed sensingregression | —Unverified | 0 | 0 |
| Encoder blind combinatorial compressed sensing | Apr 10, 2020 | Community Detectioncompressed sensing | —Unverified | 0 | 0 |
| The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling | Aug 3, 2018 | compressed sensingComputational Efficiency | —Unverified | 0 | 0 |
| The Symbolic Interior Point Method | May 26, 2016 | compressed sensingDecision Making | —Unverified | 0 | 0 |
| The Use of Mutual Coherence to Prove ^1/^0-Equivalence in Classification Problems | Jan 9, 2019 | compressed sensingGeneral Classification | —Unverified | 0 | 0 |
| Tight-frame-like Analysis-Sparse Recovery Using Non-tight Sensing Matrices | Jul 20, 2023 | compressed sensingSSIM | —Unverified | 0 | 0 |
| Tight Performance Bounds for Compressed Sensing With Conventional and Group Sparsity | Jun 19, 2016 | compressed sensing | —Unverified | 0 | 0 |
