% Key papers for Signal recovery and phase retrieval (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_theoretical_57705,
  title = {{Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11864},
}

@inproceedings{cvpr2016_psyco_11752,
  title = {{PSyCo: Manifold Span Reduction for Super Resolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2017_on_12507,
  title = {{On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2019_block_57959,
  title = {{Block Coordinate Regularization by Denoising}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13277},
}

@inproceedings{cvpr2020_polarized_16050,
  title = {{Polarized Non-Line-of-Sight Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2018_plug_57510,
  title = {{Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11716},
}

@inproceedings{neurips2017_fast_56313,
  title = {{Fast, Sample-Efficient Algorithms for Structured Phase Retrieval}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9268},
}

@inproceedings{icml2019_geometry_37400,
  title = {{Geometry and Symmetry in Short-and-Sparse Deconvolution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4207},
}

@inproceedings{icml2022_near_40867,
  title = {{Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16155},
}

@inproceedings{neurips2017_robust_56633,
  title = {{Robust Estimation of Neural Signals in Calcium Imaging}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9075},
}

@inproceedings{neurips2020_phase_60582,
  title = {{Phase retrieval in high dimensions: Statistical and computational phase transitions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17737},
}

@inproceedings{iclr2019_a_28751,
  title = {{A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1051},
}

@inproceedings{icml2018_prdeep_37087,
  title = {{prDeep: Robust Phase Retrieval with a Flexible Deep Network}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2480},
}

@inproceedings{icml2017_on_36322,
  title = {{On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/663},
}

@inproceedings{neurips2018_phase_57507,
  title = {{Phase Retrieval Under a Generative Prior}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11871},
}

@inproceedings{aaai2017_a_105703,
  title = {{A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10745},
}

@inproceedings{neurips2019_universality_59148,
  title = {{Universality in Learning from Linear Measurements}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14196},
}

@inproceedings{neurips2020_all_59362,
  title = {{All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18954},
}

@inproceedings{neurips2016_fast_55731,
  title = {{Fast recovery from a union of subspaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7352},
}

@inproceedings{neurips2018_learning_57332,
  title = {{Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11826},
}

@inproceedings{neurips2024_precise_73853,
  title = {{Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93656},
}

@inproceedings{aaai2024_iterative_6359,
  title = {{Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29057},
}

@inproceedings{aaai2024_superposed_7442,
  title = {{Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional Structures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29502},
}

@inproceedings{icml2024_straight_44303,
  title = {{Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34149},
}

@inproceedings{icml2026_dual_54290,
  title = {{Dual Quaternion SE(3) Synchronization with Recovery Guarantees}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=nbkYuKIcXr},
}

@inproceedings{neurips2025_efficient_74763,
  title = {{Efficient \$k\$-Sparse Band–Limited Interpolation with Improved Approximation Ratio}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=0xFgYI6oZr},
}

@inproceedings{neurips2025_the_79472,
  title = {{The Price of Sparsity: Sufficient Conditions for Sparse Recovery using Sparse and Sparsified Measurements}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=pilivzwU7n},
}

@inproceedings{iclr2026_price_84327,
  title = {{Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=1PIfB5w05x},
}

@inproceedings{icml2024_exponential_44497,
  title = {{Exponential Spectral Pursuit: An Effective Initialization Method for Sparse Phase Retrieval}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33955},
}

@inproceedings{icml2025_deterministic_48043,
  title = {{Deterministic Sparse Fourier Transform for Continuous Signals with Frequency Gap}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44564},
}

@inproceedings{iclr2026_hierarchical_84565,
  title = {{Hierarchical Multi-Stage Recovery Framework for Kronecker Compressed Sensing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=40e58sTE5F},
}

@inproceedings{iclr2026_efficient_87442,
  title = {{Efficient Spatially-Variant Convolution via Differentiable Sparse Kernel Complex}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=bbuxDoRD2D},
}

@inproceedings{neurips2026_beyond_91821,
  title = {{Beyond the Grid: Continuous Dictionary Pursuit for Interpretable Signal Decomposition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151808},
}

@inproceedings{neurips2026_sparse_93438,
  title = {{Sparse blind deconvolution via thresholded Wirtinger flow}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152549},
}