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

@inproceedings{neurips2022_elucidating_65791,
  title = {{Elucidating the Design Space of Diffusion-Based Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54947},
}

@inproceedings{neurips2021_variational_61250,
  title = {{Variational Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27712},
}

@inproceedings{neurips2022_diffusion_66473,
  title = {{Diffusion Models as Plug-and-Play Priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53120},
}

@inproceedings{aaai2024_plug_6955,
  title = {{Plug-In Diffusion Model for Sequential Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28736},
}

@inproceedings{cvpr2022_generating_18926,
  title = {{Generating High Fidelity Data From Low-Density Regions Using Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2021_argmax_61392,
  title = {{Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28658},
}

@inproceedings{neurips2024_understanding_72842,
  title = {{Understanding Hallucinations in Diffusion Models through Mode Interpolation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94558},
}

@inproceedings{icml2022_estimating_40514,
  title = {{Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16751},
}

@inproceedings{iclr2021_learning_30728,
  title = {{Learning Energy-Based Models by Diffusion Recovery Likelihood}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3238},
}

@inproceedings{icml2023_reduce_42840,
  title = {{Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24328},
}

@inproceedings{iclr2023_sampling_33448,
  title = {{Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10972},
}

@inproceedings{neurips2022_riemannian_65568,
  title = {{Riemannian Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53922},
}

@inproceedings{icml2023_refining_42045,
  title = {{Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23953},
}

@inproceedings{neurips2023_practical_68910,
  title = {{Practical and Asymptotically Exact Conditional Sampling in Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70952},
}

@inproceedings{icml2022_maximum_40814,
  title = {{Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17683},
}

@inproceedings{icml2022_soft_41186,
  title = {{Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17647},
}

@inproceedings{icml2023_are_42516,
  title = {{Are Diffusion Models Vulnerable to Membership Inference Attacks?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24657},
}

@inproceedings{neurips2023_debias_66835,
  title = {{Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72806},
}

@inproceedings{neurips2023_understanding_67924,
  title = {{Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71843},
}

@inproceedings{neurips2023_spontaneous_69334,
  title = {{Spontaneous symmetry breaking in generative diffusion models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70568},
}

@inproceedings{cvpr2025_erasing_26156,
  title = {{Erasing Undesirable Influence in Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33939},
}

@inproceedings{iclr2025_physics_83800,
  title = {{Physics-Informed Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28020},
}

@inproceedings{aaai2024_fair_5957,
  title = {{Fair Sampling in Diffusion Models through Switching Mechanism}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30202},
}

@inproceedings{aaai2024_unified_7697,
  title = {{Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29171},
}

@inproceedings{iclr2024_towards_33612,
  title = {{Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19463},
}

@inproceedings{icml2025_a_46907,
  title = {{A General Framework for Inference-time Scaling and Steering of Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45673},
}

@inproceedings{cvpr2025_classifier_25710,
  title = {{Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32782},
}

@inproceedings{cvpr2025_prior_27297,
  title = {{Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34847},
}

@inproceedings{aaai2025_rdpi_10437,
  title = {{RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33335},
}

@inproceedings{cvpr2024_observation_24327,
  title = {{Observation-Guided Diffusion Probabilistic Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31828},
}

@inproceedings{iclr2024_don_33558,
  title = {{Don't Play Favorites: Minority Guidance for Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19517},
}

@inproceedings{iclr2024_particle_34191,
  title = {{Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18884},
}

@inproceedings{iclr2024_cads_35688,
  title = {{CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17385},
}

@inproceedings{neurips2024_optical_72175,
  title = {{Optical Diffusion Models for Image Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95165},
}

@inproceedings{iclr2025_tabdiff_83732,
  title = {{TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28087},
}

@inproceedings{iclr2025_diffusion_84047,
  title = {{Diffusion Models are Evolutionary Algorithms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27778},
}

@inproceedings{cvpr2025_syncsde_27784,
  title = {{SyncSDE: A Probabilistic Framework for Diffusion Synchronization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35264},
}

@inproceedings{iclr2024_lipschitz_34594,
  title = {{Lipschitz Singularities in Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18480},
}