| A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding | Jun 26, 2020 | compressed sensingDenoising | CodeCode Available | 1 | 5 |
| A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine | Oct 12, 2022 | compressed sensingImage Reconstruction | CodeCode Available | 1 | 5 |
| Ambient Diffusion: Learning Clean Distributions from Corrupted Data | May 30, 2023 | compressed sensing | CodeCode Available | 1 | 5 |
| AMPA-Net: Optimization-Inspired Attention Neural Network for Deep Compressed Sensing | Oct 14, 2020 | compressed sensingCompressive Sensing | CodeCode Available | 1 | 5 |
| Accelerated MRI with Un-trained Neural Networks | Jul 6, 2020 | compressed sensingDecoder | CodeCode Available | 1 | 5 |
| Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models | Mar 15, 2023 | compressed sensingImage Generation | CodeCode Available | 1 | 5 |
| Generative Priors for MRI Reconstruction Trained from Magnitude-Only Images Using Phase Augmentation | Aug 4, 2023 | compressed sensingMRI Reconstruction | CodeCode Available | 1 | 5 |
| Intermediate Layer Optimization for Inverse Problems using Deep Generative Models | Feb 15, 2021 | compressed sensingDenoising | CodeCode Available | 1 | 5 |
| Compressed sensing of low-rank plus sparse matrices | Jul 18, 2020 | compressed sensingMatrix Completion | CodeCode Available | 1 | 5 |
| Leveraging Memory Effects and Gradient Information in Consensus-Based Optimization: On Global Convergence in Mean-Field Law | Nov 22, 2022 | compressed sensing | CodeCode Available | 1 | 5 |
