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

@inproceedings{icml2022_planning_41012,
  title = {{Planning with Diffusion for Flexible Behavior Synthesis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18291},
}

@inproceedings{aaai2024_region_7092,
  title = {{Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29422},
}

@inproceedings{cvpr2024_diffusion_23207,
  title = {{Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29404},
}

@inproceedings{neurips2023_difusco_67695,
  title = {{DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72055},
}

@inproceedings{neurips2023_difftraj_70037,
  title = {{DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69935},
}

@inproceedings{cvpr2024_training_25072,
  title = {{Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29550},
}

@inproceedings{neurips2024_guiding_72941,
  title = {{Guiding a Diffusion Model with a Bad Version of Itself}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94471},
}

@inproceedings{cvpr2024_readout_24585,
  title = {{Readout Guidance: Learning Control from Diffusion Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29408},
}

@inproceedings{aaai2019_multi_102687,
  title = {{Multi-Winner Contests for Strategic Diffusion in Social Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4573},
}

@inproceedings{neurips2024_applying_73797,
  title = {{Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93711},
}

@inproceedings{neurips2024_tfg_71836,
  title = {{TFG: Unified Training-Free Guidance for Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95462},
}

@inproceedings{cvpr2023_towards_22384,
  title = {{Towards Practical Plug-and-Play Diffusion Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21211},
}

@inproceedings{iclr2024_directly_33511,
  title = {{Directly Fine-Tuning Diffusion Models on Differentiable Rewards}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19564},
}

@inproceedings{aaai2025_adaptive_8032,
  title = {{Adaptive Guidance: Training-free Acceleration of Conditional Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32192},
}

@inproceedings{cvpr2025_decoupling_25881,
  title = {{Decoupling Training-Free Guided Diffusion by ADMM}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33741},
}

@inproceedings{neurips2024_understanding_71230,
  title = {{Understanding and Improving Training-free Loss-based Diffusion Guidance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96010},
}

@inproceedings{icml2024_guidance_44554,
  title = {{Guidance with Spherical Gaussian Constraint for Conditional Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33898},
}

@inproceedings{neurips2024_smoothed_71543,
  title = {{Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95721},
}

@inproceedings{iclr2025_safediffuser_83125,
  title = {{SafeDiffuser: Safe Planning with Diffusion Probabilistic Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28682},
}

@inproceedings{iclr2024_diffusionnag_34837,
  title = {{DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18237},
}

@inproceedings{iclr2025_simple_83086,
  title = {{Simple Guidance Mechanisms for Discrete Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28719},
}

@inproceedings{iclr2025_adjoint_84043,
  title = {{Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27782},
}

@inproceedings{aaai2025_emcontrol_8869,
  title = {{EMControl: Adding Conditional Control to Text-to-Image Diffusion Models via Expectation-Maximization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32828},
}

@inproceedings{cvpr2025_tcfg_27808,
  title = {{TCFG: Tangential Damping Classifier-free Guidance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34331},
}

@inproceedings{icml2024_adsorbdiff_44711,
  title = {{AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33741},
}