% Key papers for Counterfactual explanations and recourse (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2019_abduction_100608,
  title = {{Abduction-Based Explanations for Machine Learning Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3964},
}

@inproceedings{aaai2022_focus_2081,
  title = {{FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/05313-focus-flexible-optimizable-counterfactual-explanations-for-tree-ensembles/},
}

@inproceedings{icml2019_fairwashing_37355,
  title = {{Fairwashing: the risk of rationalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4244},
}

@inproceedings{neurips2020_beyond_59458,
  title = {{Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18929},
}

@inproceedings{aaai2021_ordered_1127,
  title = {{Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/11564-ordered-counterfactual-explanation-by-mixed-integer-linear-optimization/},
}

@inproceedings{neurips2022_which_66134,
  title = {{Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54101},
}

@inproceedings{icml2021_explanations_39316,
  title = {{Explanations for Monotonic Classifiers.}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9955},
}

@inproceedings{aaai2020_an_101934,
  title = {{An Information-Theoretic Quantification of Discrimination with Exempt Features}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5794},
}

@inproceedings{aaai2021_strong_1434,
  title = {{Strong Explanations in Abstract Argumentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06496-strong-explanations-in-abstract-argumentation/},
}

@inproceedings{aaai2022_on_2494,
  title = {{On the Computation of Necessary and Sufficient Explanations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/05582-on-the-computation-of-necessary-and-sufficient-explanations/},
}

@inproceedings{aaai2024_delivering_5662,
  title = {{Delivering Inflated Explanations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29170},
}

@inproceedings{neurips2021_carla_63422,
  title = {{CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=vDilkBNNbx6},
}

@inproceedings{aaai2021_the_1491,
  title = {{The Counterfactual NESS Definition of Causation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06210-the-counterfactual-ness-definition-of-causation/},
}

@inproceedings{aaai2021_user_1600,
  title = {{User Driven Model Adjustment via Boolean Rule Explanations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/05896-user-driven-model-adjustment-via-boolean-rule-explanations/},
}

@inproceedings{icml2022_robust_41107,
  title = {{Robust Counterfactual Explanations for Tree-Based Ensembles}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16963},
}

@inproceedings{icml2023_theoretical_41774,
  title = {{Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23521},
}

@inproceedings{iclr2022_bridging_31675,
  title = {{Bridging the Gap: Providing Post-Hoc Symbolic Explanations for Sequential Decision-Making Problems with Inscrutable Representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7046},
}

@inproceedings{aaai2021_preferred_1189,
  title = {{Preferred Explanations for Ontology-Mediated Queries under Existential Rules}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06262-preferred-explanations-for-ontology-mediated-queries-under-existential-rules/},
}

@inproceedings{aaai2024_axiomatic_5245,
  title = {{Axiomatic Aggregations of Abductive Explanations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28986},
}

@inproceedings{aaai2024_backward_5265,
  title = {{Backward Responsibility in Transition Systems Using General Power Indices}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30013},
}

@inproceedings{aaai2025_boolxai_8277,
  title = {{BoolXAI: Explainable AI Using Expressive Boolean Formulas}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35157},
}

@inproceedings{aaai2026_glance_107062,
  title = {{GLANCE: Global Actions in a Nutshell for Counterfactual Explainability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39414},
}

@inproceedings{aaai2025_even_9025,
  title = {{Even-if Explanations: Formal Foundations, Priorities and Complexity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33684},
}

@inproceedings{neurips2025_ellice_76173,
  title = {{ElliCE: Efficient and Provably Robust Algorithmic Recourse via the Rashomon Sets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=GNDgQie8W4},
}

@inproceedings{aaai2026_preference_106088,
  title = {{Preference Elicitation for Step-Wise Explanations in Logic Puzzles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38436},
}

@inproceedings{aaai2026_conditional_106654,
  title = {{Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38961},
}

@inproceedings{aaai2025_probabilistic_10363,
  title = {{Probabilistic Explanations for Linear Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34276},
}

@inproceedings{icml2024_counterfactual_43693,
  title = {{Counterfactual Metarules for Local and Global Recourse}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34759},
}

@inproceedings{icml2026_algorithmic_49904,
  title = {{Algorithmic Recourse of In-Context Learning for Tabular Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=74NcYQk45j},
}

@inproceedings{icml2026_barriers_50722,
  title = {{Barriers to Counterfactual Credit Attribution for Autoregressive Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=F8dIPCR1ly},
}

@inproceedings{iclr2025_generating_83611,
  title = {{Generating Likely Counterfactuals Using Sum-Product Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28206},
}

@inproceedings{aaai2026_explaining_106413,
  title = {{Explaining Tournament Solutions with Minimal Supports}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38720},
}

@inproceedings{neurips2026_strategic_91314,
  title = {{Strategic Feature Selection and Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154371},
}

@inproceedings{neurips2026_a_91601,
  title = {{A New Perspective on XAI: Scientific Theory Building for Auditable Artefacts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/140037},
}