% Key papers for Survival analysis under censoring (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2018_deephit_105733,
  title = {{DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11842},
}

@inproceedings{aaai2019_deep_101692,
  title = {{Deep Recurrent Survival Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4407},
}

@inproceedings{icml2018_adversarial_36505,
  title = {{Adversarial Time-to-Event Modeling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2332},
}

@inproceedings{aaai2021_deeppseudo_405,
  title = {{DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00479-deeppseudo-pseudo-value-based-deep-learning-models-for-competing-risk-analysis/},
}

@inproceedings{neurips2018_multitask_57410,
  title = {{Multitask Boosting for Survival Analysis with Competing Risks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11155},
}

@inproceedings{neurips2020_x_61113,
  title = {{X-CAL: Explicit Calibration for Survival Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18141},
}

@inproceedings{aaai2024_deep_5636,
  title = {{Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30047},
}

@inproceedings{aaai2021_a_24,
  title = {{A Hierarchical Approach to Multi-Event Survival Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00591-a-hierarchical-approach-to-multi-event-survival-analysis/},
}

@inproceedings{neurips2023_survival_67296,
  title = {{Survival Permanental Processes for Survival Analysis with Time-Varying Covariates}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72424},
}

@inproceedings{neurips2026_learning_92730,
  title = {{Learning Survival Models with Right-Censored Reporting Delays}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152038},
}

@inproceedings{icml2026_explicitly_49275,
  title = {{Explicitly Modeling Censoring Produces Superior Survival Predictors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=0xJt4PqPJv},
}

@inproceedings{icml2026_component_52506,
  title = {{Component-Wise Composite Likelihood Distillation for Censored Time-to-Event Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WgrRyHYbo5},
}