% Key papers for Counterfactual and statistical explanations (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2021_explaining_556, title = {{Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/11396-explaining-a-black-box-by-using-a-deep-variational-information-bottleneck-approach/}, } @inproceedings{icml2019_eddi_37320, title = {{EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2019}, url = {https://icml.cc/virtual/2019/poster/3924}, } @inproceedings{aaai2017_collaborative_105709, title = {{Collaborative Company Profiling: Insights from an Employee's Perspective}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10751}, } @inproceedings{aaai2021_evidence_546, title = {{Evidence Inference Networks for Interpretable Claim Verification}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/14058-evidence-inference-networks-for-interpretable-claim-verification/}, } @inproceedings{aaai2021_ethically_544, title = {{Ethically Compliant Sequential Decision Making}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/11657-ethically-compliant-sequential-decision-making/}, } @inproceedings{aaai2017_strategic_101422, title = {{Strategic Sequences of Arguments for Persuasion Using Decision Trees}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2017}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/10673}, } @inproceedings{aaai2020_temporal_103331, title = {{Temporal Logics Over Finite Traces with Uncertainty}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6583}, } @inproceedings{aaai2022_amortized_1729, title = {{Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/08512-amortized-generation-of-sequential-algorithmic-recourses-for-black-box-models/}, } @inproceedings{aaai2024_symbolic_7453, title = {{Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29413}, } @inproceedings{aaai2023_blending_3191, title = {{Blending Advertising with Organic Content in E-commerce via Virtual Bids}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/26835}, } @inproceedings{aaai2024_faithful_5967, title = {{Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28956}, } @inproceedings{neurips2023_glime_66721, title = {{GLIME: General, Stable and Local LIME Explanation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/72911}, } @inproceedings{aaai2021_automated_174, title = {{Automated Symbolic Law Discovery: A Computer Vision Approach}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/00660-automated-symbolic-law-discovery-a-computer-vision-approach/}, } @inproceedings{neurips2020_counterfactual_59615, title = {{Counterfactual Predictions under Runtime Confounding}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/17295}, } @inproceedings{aaai2021_multi_1013, title = {{Multi-Dimensional Explanation of Target Variables from Documents}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/12507-multi-dimensional-explanation-of-target-variables-from-documents/}, } @inproceedings{aaai2025_generating_9325, title = {{Generating Counterfactual Explanations Under Temporal Constraints}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33715}, } @inproceedings{iclr2021_predicting_30597, title = {{Predicting Infectiousness for Proactive Contact Tracing}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/2912}, } @inproceedings{aaai2021_conditional_291, title = {{Conditional Inference under Disjunctive Rationality}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/06227-conditional-inference-under-disjunctive-rationality/}, } @inproceedings{icml2018_a_36478, title = {{A Robust Approach to Sequential Information Theoretic Planning}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2018}, url = {https://icml.cc/virtual/2018/poster/2372}, } @inproceedings{neurips2023_knowledge_66790, title = {{Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/73701}, } @inproceedings{neurips2024_optimal_73911, title = {{Optimal ablation for interpretability}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/93600}, } @inproceedings{aaai2024_simfair_7341, title = {{SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30249}, } @inproceedings{aaai2025_a_7935, title = {{A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32642}, } @inproceedings{aaai2024_causally_5387, title = {{Causally Aware Generative Adversarial Networks for Light Pollution Control}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30261}, } @inproceedings{aaai2024_ibca_6248, title = {{IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30316}, } @inproceedings{aaai2024_parallel_6921, title = {{Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/28780}, } @inproceedings{aaai2025_ad4cd_7953, title = {{AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/33344}, } @inproceedings{aaai2024_temporal_7517, title = {{Temporal Logic Explanations for Dynamic Decision Systems Using Anchors and Monte Carlo Tree Search (Abstract Reprint)}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30594}, } @inproceedings{aaai2025_adaptive_8036, title = {{Adaptive Multi-Faceted Service Capabilities Co-Prediction for Nationwide Terminal Stations in Logistics}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35079}, } @inproceedings{aaai2025_formal_9220, title = {{Formal Quality Measures for Predictors in Markov Decision Processes}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34879}, } @inproceedings{neurips2024_controlling_72049, title = {{Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95271}, } @inproceedings{neurips2024_selective_73285, title = {{Selective Explanations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/94156}, } @inproceedings{aaai2026_autonomous_107234, title = {{Autonomous Concept Drift Threshold Determination}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39586}, } @inproceedings{aaai2025_evaluate_9016, title = {{Evaluate with the Inverse: Efficient Approximation of Latent Explanation Quality Distribution}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/34935}, } @inproceedings{cvpr2025_towards_27908, title = {{Towards Human-Understandable Multi-Dimensional Concept Discovery}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33326}, } @inproceedings{icml2024_bayesian_43777, title = {{Bayesian Program Learning by Decompiling Amortized Knowledge}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34675}, } @inproceedings{icml2024_acquisition_45185, title = {{Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33267}, }