% Key papers for Diffusion posterior sampling (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_come_18483,
  title = {{Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems Through Stochastic Contraction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2023_diffusion_32508,
  title = {{Diffusion Posterior Sampling for General Noisy Inverse Problems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11877},
}

@inproceedings{neurips2022_improving_65940,
  title = {{Improving Diffusion Models for Inverse Problems using Manifold Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53565},
}

@inproceedings{iclr2024_a_33492,
  title = {{A Variational Perspective on Solving Inverse Problems with Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19583},
}

@inproceedings{cvpr2025_improving_26605,
  title = {{Improving Diffusion Inverse Problem Solving with Decoupled Noise Annealing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33287},
}

@inproceedings{cvpr2024_beyond_22832,
  title = {{Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30363},
}

@inproceedings{cvpr2024_on_24339,
  title = {{On Exact Inversion of DPM-Solvers}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30810},
}

@inproceedings{neurips2024_provably_72233,
  title = {{Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95109},
}

@inproceedings{iclr2024_solving_35037,
  title = {{Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18037},
}

@inproceedings{neurips2023_polydiffuse_68387,
  title = {{PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71424},
}

@inproceedings{iclr2024_decomposed_33954,
  title = {{Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19121},
}

@inproceedings{neurips2024_dmplug_70721,
  title = {{DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96403},
}

@inproceedings{neurips2023_solving_68452,
  title = {{Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71366},
}

@inproceedings{neurips2024_learning_70715,
  title = {{Learning Diffusion Priors from Observations by Expectation Maximization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96409},
}

@inproceedings{neurips2023_direct_66762,
  title = {{Direct Diffusion Bridge using Data Consistency for Inverse Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72872},
}

@inproceedings{neurips2024_solving_74454,
  title = {{Solving Inverse Problems via Diffusion Optimal Control}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93119},
}

@inproceedings{iclr2025_variational_80865,
  title = {{Variational Diffusion Posterior Sampling with Midpoint Guidance}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30902},
}

@inproceedings{cvpr2025_consistency_25766,
  title = {{Consistency Posterior Sampling for Diverse Image Synthesis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35208},
}

@inproceedings{iclr2024_conditional_34650,
  title = {{Conditional Variational Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18424},
}

@inproceedings{neurips2023_gaussian_66551,
  title = {{Gaussian Mixture Solvers for Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73062},
}

@inproceedings{neurips2024_on_73814,
  title = {{On conditional diffusion models for PDE simulations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93694},
}

@inproceedings{iclr2024_image_34287,
  title = {{Image Inpainting via Tractable Steering of Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18788},
}

@inproceedings{icml2024_prior_43687,
  title = {{Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34765},
}

@inproceedings{icml2025_sitcom_45945,
  title = {{SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46601},
}

@inproceedings{icml2025_a_46789,
  title = {{A Mixture-Based Framework for Guiding Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45786},
}

@inproceedings{neurips2024_stability_72462,
  title = {{Stability and Generalizability in SDE Diffusion Models with Measure-Preserving Dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94896},
}

@inproceedings{iclr2025_regularization_82286,
  title = {{Regularization by Texts for Latent Diffusion Inverse Solvers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29505},
}