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

@inproceedings{cvpr2025_goalflow_26444,
  title = {{GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35027},
}

@inproceedings{cvpr2025_flowram_26289,
  title = {{FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33579},
}

@inproceedings{neurips2025_training_79284,
  title = {{Training-Free Guidance Beyond Differentiability: Scalable Path Steering with Tree Search in Diffusion and Flow Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nqVLJTPoQC},
}

@inproceedings{neurips2025_entropy_77229,
  title = {{Entropy Rectifying Guidance for Diffusion and Flow Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=RjN1LYymST},
}

@inproceedings{iclr2025_training_80855,
  title = {{Training Free Guided Flow-Matching with Optimal Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30912},
}

@inproceedings{icml2025_on_48605,
  title = {{On the Guidance of Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44016},
}

@inproceedings{icml2026_stable_49397,
  title = {{Stable Velocity: A Variance Perspective on Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=2C6ENeBAZB},
}

@inproceedings{icml2026_trajectory_50491,
  title = {{Trajectory Consistency for One-Step Generation on Euler Mean Flows}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=CuqZJO3RE4},
}

@inproceedings{icml2026_conflict_50531,
  title = {{Conflict-Aware Additive Guidance for Flow Models under Compositional Rewards}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DJtX0Fo7ii},
}

@inproceedings{icml2026_improving_51055,
  title = {{Improving Classifier-Free Guidance of Flow Matching via Manifold Projection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=IPp3LD6u16},
}

@inproceedings{icml2026_letting_51409,
  title = {{Letting Trajectories Spread: Quality-Preserving Control for Diverse Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=LtHNTRg73G},
}

@inproceedings{icml2026_tftf_51700,
  title = {{TFTF: Training-Free Targeted Flow for Conditional Sampling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Oz7GovJhac},
}

@inproceedings{icml2026_the_53241,
  title = {{The Velocity Deficit: Initial Energy Injection for Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ddBkQ4koaI},
}

@inproceedings{icml2026_how_53519,
  title = {{How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gEogY6cPrL},
}

@inproceedings{neurips2025_value_75287,
  title = {{Value Gradient Guidance for Flow Matching Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=6MmOy2Ji8V},
}

@inproceedings{neurips2025_rectified_76873,
  title = {{Rectified CFG++ for Flow Based Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NosdT1FHPv},
}

@inproceedings{iclr2026_trajflow_85166,
  title = {{TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=BDOldEjwCE},
}

@inproceedings{iclr2026_meancache_85609,
  title = {{MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=GMCyL7Xs9R},
}

@inproceedings{iclr2026_flowcast_87910,
  title = {{FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=gv8R88PVEG},
}

@inproceedings{iclr2026_facm_88188,
  title = {{FACM: Flow-Anchored Consistency Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=k9BpW1c4in},
}