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

@inproceedings{neurips2023_tree_67561,
  title = {{Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72178},
}

@inproceedings{neurips2023_entropic_68951,
  title = {{Entropic Neural Optimal Transport via Diffusion Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70913},
}

@inproceedings{neurips2023_building_67948,
  title = {{Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73609},
}

@inproceedings{iclr2024_light_34607,
  title = {{Light Schrödinger Bridge}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18467},
}

@inproceedings{icml2024_light_43871,
  title = {{Light and Optimal Schrödinger Bridge Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34581},
}

@inproceedings{neurips2025_schr_75929,
  title = {{Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DliPKnn6e0},
}

@inproceedings{neurips2025_exponential_78186,
  title = {{Exponential Convergence Guarantees for Iterative Markovian Fitting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=by8N8HCqAG},
}

@inproceedings{iclr2025_feedback_83209,
  title = {{Feedback Schrödinger Bridge Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28600},
}

@inproceedings{iclr2026_entering_87097,
  title = {{Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=XcPDT615Gd},
}

@inproceedings{icml2025_linear_45872,
  title = {{Linear convergence of Sinkhorn's algorithm for generalized static Schrödinger bridge}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46671},
}

@inproceedings{neurips2025_statistical_75942,
  title = {{Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schr"odinger Bridge Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=DsGrLE9gqv},
}