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

@inproceedings{neurips2020_predictive_60606,
  title = {{Predictive inference is free with the jackknife+-after-bootstrap}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17413},
}

@inproceedings{aaai2025_cuqds_8371,
  title = {{CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33915},
}

@inproceedings{aaai2023_amnioml_3094,
  title = {{AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26837},
}

@inproceedings{neurips2024_an_73290,
  title = {{An Information Theoretic Perspective on Conformal Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94151},
}

@inproceedings{aaai2025_conformalized_8503,
  title = {{Conformalized Interval Arithmetic with Symmetric Calibration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34114},
}

@inproceedings{icml2023_conformal_41612,
  title = {{Conformal Inference is (almost) Free for Neural Networks Trained with Early Stopping}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24975},
}

@inproceedings{neurips2024_self_71005,
  title = {{Self-Calibrating Conformal Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96201},
}

@inproceedings{aaai2025_neuron_10115,
  title = {{Neuron Explanations for Conformal Prediction (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35270},
}

@inproceedings{icml2023_optimizing_42348,
  title = {{Optimizing Hyperparameters with Conformal Quantile Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24224},
}

@inproceedings{icml2026_spatial_51789,
  title = {{Spatial Conformal Inference through Localized Quantile Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=PwAMkd4xan},
}

@inproceedings{neurips2022_conformal_65653,
  title = {{Conformal Frequency Estimation with Sketched Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54494},
}

@inproceedings{neurips2025_conformal_79723,
  title = {{Conformal Prediction for Ensembles: Improving Efficiency via Score-Based Aggregation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=sNTqqdPVSv},
}

@inproceedings{aaai2025_reliable_10510,
  title = {{Reliable Uncertainty Quantification in Machine Learning via Conformal Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35227},
}

@inproceedings{icml2022_modular_40846,
  title = {{Modular Conformal Calibration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17971},
}

@inproceedings{icml2025_conformal_47197,
  title = {{Conformal Prediction as Bayesian Quadrature}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45390},
}

@inproceedings{icml2026_distmatch_52125,
  title = {{DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=SxBuTatzGe},
}

@inproceedings{icml2026_robust_53368,
  title = {{Robust Bayes-Assisted Conformal Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=eopPyXUmDk},
}

@inproceedings{icml2026_set_53851,
  title = {{Set-Preserving Calibration from Conformal P-Values to E-Values}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=jNv4sl4YZH},
}

@inproceedings{neurips2021_conformal_62765,
  title = {{Conformal Bayesian Computation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28316},
}

@inproceedings{neurips2021_distribution_63230,
  title = {{Distribution-free inference for regression: discrete, continuous, and in between}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28589},
}

@inproceedings{neurips2024_conformalized_74342,
  title = {{Conformalized Credal Set Predictors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93218},
}

@inproceedings{neurips2025_balanced_78042,
  title = {{Balanced Active Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=aUXiqhLh0S},
}

@inproceedings{neurips2025_uncertainty_78936,
  title = {{Uncertainty-Calibrated Prediction of Randomly-Timed Biomarker Trajectories with Conformal Bands}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jusQeCotOF},
}

@inproceedings{iclr2025_cbma_81192,
  title = {{CBMA: Improving Conformal Prediction through Bayesian Model Averaging}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30578},
}

@inproceedings{iclr2025_utility_83109,
  title = {{Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28698},
}

@inproceedings{aaai2026_symmetric_106733,
  title = {{Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39040},
}

@inproceedings{icml2026_calpro_49531,
  title = {{CalPro: Prior-Aware Evidential Conformal Prediction with Structure-Aware Sensitivity Bounds for Protein Structures}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=3LRWjJTp0Y},
}

@inproceedings{iclr2026_compass_89054,
  title = {{COMPASS: Robust Feature Conformal Prediction for Medical Segmentation Metrics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=uBy4TCgGiT},
}