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

@inproceedings{neurips2020_causal_59515,
  title = {{Causal Discovery in Physical Systems from Videos}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18282},
}

@inproceedings{aaai2018_self_101482,
  title = {{SELF: Structural Equational Likelihood Framework for Causal Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11566},
}

@inproceedings{aaai2019_structural_101616,
  title = {{Structural Causal Bandits with Non-Manipulable Variables}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4320},
}

@inproceedings{neurips2019_characterization_57990,
  title = {{Characterization and Learning of Causal Graphs with Latent Variables from Soft Interventions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14356},
}

@inproceedings{neurips2020_causal_59514,
  title = {{Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17143},
}

@inproceedings{aaai2020_causal_103323,
  title = {{Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6575},
}

@inproceedings{neurips2020_differentiable_59695,
  title = {{Differentiable Causal Discovery from Interventional Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18056},
}

@inproceedings{neurips2019_neuropathic_58676,
  title = {{Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14229},
}

@inproceedings{neurips2019_specific_59004,
  title = {{Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14288},
}

@inproceedings{neurips2022_large_65790,
  title = {{Large-Scale Differentiable Causal Discovery of Factor Graphs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55048},
}

@inproceedings{aaai2020_integrating_101929,
  title = {{Integrating Overlapping Datasets Using Bivariate Causal Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5789},
}

@inproceedings{aaai2022_causal_1825,
  title = {{Causal Discovery in Hawkes Processes by Minimum Description Length}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06978-causal-discovery-in-hawkes-processes-by-minimum-description-length/},
}

@inproceedings{aaai2024_multi_6693,
  title = {{Multi-Granularity Causal Structure Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29278},
}

@inproceedings{cvpr2022_do_18689,
  title = {{Do Learned Representations Respect Causal Relationships?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2021_systematic_62860,
  title = {{Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=gWIbXsrtOCc},
}

@inproceedings{neurips2022_active_66111,
  title = {{Active Bayesian Causal Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53082},
}

@inproceedings{neurips2024_causalstock_70501,
  title = {{CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96607},
}

@inproceedings{iclr2023_rhino_33023,
  title = {{Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11006},
}

@inproceedings{neurips2021_reliable_62198,
  title = {{Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27294},
}

@inproceedings{aaai2024_scores_7273,
  title = {{Scores for Learning Discrete Causal Graphs with Unobserved Confounders}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28980},
}

@inproceedings{neurips2024_sample_72183,
  title = {{Sample Efficient Bayesian Learning of Causal Graphs from Interventions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95157},
}

@inproceedings{aaai2026_horizontal_106809,
  title = {{Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39116},
}

@inproceedings{aaai2024_causal_5385,
  title = {{Causal-Driven Skill Prerequisite Structure Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30046},
}

@inproceedings{icml2024_challenges_44832,
  title = {{Challenges and Considerations in the Evaluation of Bayesian Causal Discovery}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33620},
}

@inproceedings{icml2024_adaptive_45322,
  title = {{Adaptive Online Experimental Design for Causal Discovery}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33130},
}

@inproceedings{icml2025_identifying_47068,
  title = {{Identifying biological perturbation targets through causal differential networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45518},
}

@inproceedings{neurips2024_causal_73007,
  title = {{Causal discovery with endogenous context variables}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94414},
}

@inproceedings{neurips2024_interventional_73732,
  title = {{Interventional Causal Discovery in a Mixture of DAGs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93767},
}

@inproceedings{neurips2025_estimating_76363,
  title = {{Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=IQlcfc40Ja},
}

@inproceedings{aaai2025_emergence_8933,
  title = {{Emergence-Inspired Multi-Granularity Causal Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34113},
}

@inproceedings{aaai2025_local_9808,
  title = {{Local Causal Discovery for Structural Evidence of Direct Discrimination}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34130},
}

@inproceedings{icml2024_local_43381,
  title = {{Local Causal Structure Learning in the Presence of Latent Variables}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35071},
}

@inproceedings{icml2024_learning_44001,
  title = {{Learning Causal Dynamics Models in Object-Oriented Environments}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34451},
}

@inproceedings{icml2026_test_51312,
  title = {{Test-Time Learning of Causal Structure from Interventional Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Kmv7TjGCru},
}

@inproceedings{icml2026_causal_54155,
  title = {{Causal Modeling of Selection in Evolution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=mOcTXKawFY},
}

@inproceedings{icml2026_scout_55307,
  title = {{SCOUT: Cyclic Causal Discovery Under Soft Interventions with Unknown Targets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=xXyreH61EN},
}

@inproceedings{neurips2024_learning_72821,
  title = {{Learning Mixtures of Unknown Causal Interventions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94578},
}