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

@inproceedings{iclr2022_analytic_30809,
  title = {{Analytic-DPM: an Analytic Estimate of the Optimal Reverse Variance in Diffusion Probabilistic Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7166},
}

@inproceedings{neurips2021_diffusion_61501,
  title = {{Diffusion Schrödinger Bridge with Applications to Score-Based Generative Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26990},
}

@inproceedings{neurips2021_maximum_61573,
  title = {{Maximum Likelihood Training of Score-Based Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27887},
}

@inproceedings{neurips2021_a_62666,
  title = {{A Variational Perspective on Diffusion-Based Generative Models and Score Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28486},
}

@inproceedings{neurips2023_end_69832,
  title = {{End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70118},
}

@inproceedings{iclr2023_understanding_32070,
  title = {{Understanding DDPM Latent Codes Through Optimal Transport}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11105},
}

@inproceedings{neurips2023_the_67733,
  title = {{The probability flow ODE is provably fast}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72020},
}

@inproceedings{neurips2022_a_64339,
  title = {{A Continuous Time Framework for Discrete Denoising Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54619},
}

@inproceedings{cvpr2023_lookahead_21466,
  title = {{Lookahead Diffusion Probabilistic Models for Refining Mean Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21027},
}

@inproceedings{neurips2023_diffusion_69602,
  title = {{Diffusion Schrödinger Bridge Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70330},
}

@inproceedings{neurips2020_on_60478,
  title = {{On the Ergodicity, Bias and Asymptotic Normality of Randomized Midpoint Sampling Method}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17602},
}

@inproceedings{neurips2023_conditional_69863,
  title = {{Conditional score-based diffusion models for Bayesian inference in infinite dimensions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70092},
}

@inproceedings{iclr2022_path_31434,
  title = {{Path Integral Sampler: A Stochastic Control Approach For Sampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7195},
}

@inproceedings{iclr2023_score_32207,
  title = {{Score-based Continuous-time Discrete Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10977},
}

@inproceedings{neurips2023_solving_66655,
  title = {{Solving Inverse Physics Problems with Score Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72971},
}

@inproceedings{neurips2023_score_67548,
  title = {{Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72191},
}

@inproceedings{iclr2024_on_35143,
  title = {{On Diffusion Modeling for Anomaly Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17930},
}

@inproceedings{neurips2022_score_64161,
  title = {{Score-Based Diffusion meets Annealed Importance Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54751},
}

@inproceedings{neurips2023_scaling_67467,
  title = {{Scaling Riemannian Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72267},
}

@inproceedings{aaai2020_exact_101853,
  title = {{Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5713},
}

@inproceedings{icml2024_generative_43500,
  title = {{Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34952},
}

@inproceedings{neurips2024_schrodinger_70208,
  title = {{Schrodinger Bridge Flow for Unpaired Data Translation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96877},
}

@inproceedings{neurips2024_conditioning_71275,
  title = {{Conditioning non-linear and infinite-dimensional diffusion processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95970},
}

@inproceedings{neurips2024_provable_72025,
  title = {{Provable Posterior Sampling with Denoising Oracles via Tilted Transport}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95291},
}

@inproceedings{neurips2024_neural_72734,
  title = {{Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94656},
}

@inproceedings{neurips2024_variational_73481,
  title = {{Variational Distillation of Diffusion Policies into Mixture of Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93992},
}

@inproceedings{aaai2024_statistical_7409,
  title = {{Statistical Spatially Inhomogeneous Diffusion Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29401},
}

@inproceedings{iclr2024_improved_34958,
  title = {{Improved sampling via learned diffusions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18116},
}

@inproceedings{icml2024_stochastic_43907,
  title = {{Stochastic Interpolants with Data-Dependent Couplings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34545},
}

@inproceedings{iclr2025_a_81819,
  title = {{A Periodic Bayesian Flow for Material Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29962},
}

@inproceedings{aaai2024_a_5063,
  title = {{A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29072},
}

@inproceedings{icml2025_adjoint_46172,
  title = {{Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46388},
}

@inproceedings{neurips2024_what_70963,
  title = {{What does guidance do? A fine-grained analysis in a simple setting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96240},
}

@inproceedings{neurips2024_stochastic_72570,
  title = {{Stochastic Optimal Control for Diffusion Bridges in Function Spaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94802},
}

@inproceedings{neurips2025_adjoint_79631,
  title = {{Adjoint Schrödinger Bridge Sampler}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rMhQBlhh4c},
}

@inproceedings{neurips2025_progressive_80053,
  title = {{Progressive Inference-Time Annealing of Diffusion Models for Sampling from Boltzmann Densities}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=vf2GHcxzMV},
}

@inproceedings{iclr2025_transition_82432,
  title = {{Transition Path Sampling with Improved Off-Policy Training of Diffusion Path Samplers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29361},
}

@inproceedings{iclr2025_convergence_83536,
  title = {{Convergence of Score-Based Discrete Diffusion Models: A Discrete-Time Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28280},
}

@inproceedings{iclr2026_enhancing_84345,
  title = {{Enhancing Diffusion-Based Sampling with Molecular Collective Variables}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=1bJN1EQByS},
}