% Key papers for Flow matching generative modeling (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_flownet_12283,
  title = {{FlowNet 2.0: Evolution of Optical Flow Estimation With Deep Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2017_optical_12518,
  title = {{Optical Flow Estimation Using a Spatial Pyramid Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2019_iterative_14343,
  title = {{Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2017_accurate_12036,
  title = {{Accurate Optical Flow via Direct Cost Volume Processing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2016_efficient_11510,
  title = {{Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{aaai2019_ddflow_103504,
  title = {{DDFlow: Learning Optical Flow with Unlabeled Data Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4902},
}

@inproceedings{cvpr2016_full_11564,
  title = {{Full Flow: Optical Flow Estimation By Global Optimization Over Regular Grids}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_global_18944,
  title = {{Global Matching With Overlapping Attention for Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2017_robust_12589,
  title = {{Robust Interpolation of Correspondences for Large Displacement Optical Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{iclr2019_flowqa_28830,
  title = {{FlowQA: Grasping Flow in History for Conversational Machine Comprehension}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/761},
}

@inproceedings{iclr2018_twin_28471,
  title = {{Twin Networks: Matching the Future for Sequence Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/86},
}

@inproceedings{icml2020_waveflow_38929,
  title = {{WaveFlow: A Compact Flow-based Model for Raw Audio}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5857},
}

@inproceedings{neurips2019_blow_57961,
  title = {{Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13784},
}

@inproceedings{cvpr2017_s2f_12592,
  title = {{S2F: Slow-To-Fast Interpolator Flow}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2019_naomi_58653,
  title = {{NAOMI: Non-Autoregressive Multiresolution Sequence Imputation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14117},
}

@inproceedings{neurips2024_lorentz_72576,
  title = {{Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94796},
}

@inproceedings{aaai2020_introducing_103324,
  title = {{Introducing Probabilistic Bézier Curves for N-Step Sequence Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6576},
}

@inproceedings{icml2024_flowmm_44562,
  title = {{FlowMM: Generating Materials with Riemannian Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33890},
}

@inproceedings{cvpr2023_tangentially_22306,
  title = {{Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22278},
}

@inproceedings{iclr2024_from_34688,
  title = {{From Zero to Turbulence: Generative Modeling for 3D Flow Simulation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18386},
}

@inproceedings{aaai2024_cedflow_5332,
  title = {{CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28627},
}

@inproceedings{aaai2024_explainable_5897,
  title = {{Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28796},
}

@inproceedings{neurips2024_metric_73215,
  title = {{Metric Flow Matching for Smooth Interpolations on the Data Manifold}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94221},
}

@inproceedings{aaai2024_context_5484,
  title = {{Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27893},
}

@inproceedings{icml2025_cellflux_46011,
  title = {{CellFlux: Simulating Cellular Morphology Changes via Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46535},
}

@inproceedings{icml2025_open_48126,
  title = {{Open Materials Generation with Stochastic Interpolants}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44483},
}

@inproceedings{neurips2024_doob_72257,
  title = {{Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95087},
}

@inproceedings{neurips2025_rfmpose_75302,
  title = {{RFMPose: Generative Category-level Object Pose Estimation via Riemannian Flow Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=6aaixHco6C},
}

@inproceedings{neurips2024_3d_71226,
  title = {{3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96013},
}

@inproceedings{neurips2024_diffsf_73807,
  title = {{DiffSF: Diffusion Models for Scene Flow Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93701},
}

@inproceedings{neurips2024_bridging_74649,
  title = {{Bridging Geometric States via Geometric Diffusion Bridge}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92944},
}

@inproceedings{iclr2026_scdfm_86487,
  title = {{scDFM: Distributional Flow Matching Model for Robust Single-Cell Perturbation Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=QSGanMEcUV},
}

@inproceedings{iclr2024_learning_34354,
  title = {{Learning Energy Decompositions for Partial Inference in GFlowNets}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18721},
}

@inproceedings{icml2024_deciphering_43694,
  title = {{Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34758},
}

@inproceedings{icml2025_trajectory_46734,
  title = {{Trajectory Inference with Smooth Schrödinger Bridges}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45838},
}

@inproceedings{icml2025_diversified_47184,
  title = {{Diversified Flow Matching with Translation Identifiability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45403},
}

@inproceedings{icml2025_controlled_47686,
  title = {{Controlled Generation with Equivariant Variational Flow Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44911},
}