% Key papers for Prediction-powered and conformal inference (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2017_task_56707,
  title = {{Task-based End-to-end Model Learning in Stochastic Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9323},
}

@inproceedings{iclr2019_meta_28951,
  title = {{Meta-Learning Probabilistic Inference for Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1071},
}

@inproceedings{neurips2019_conformal_58028,
  title = {{Conformal Prediction Under Covariate Shift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13445},
}

@inproceedings{aaai2021_measuring_975,
  title = {{Measuring Dependence with Matrix-based Entropy Functional}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10781-measuring-dependence-with-matrix-based-entropy-functional/},
}

@inproceedings{icml2017_selective_36387,
  title = {{Selective Inference for Sparse High-Order Interaction Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/801},
}

@inproceedings{neurips2021_adaptive_61402,
  title = {{Adaptive Conformal Inference Under Distribution Shift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28040},
}

@inproceedings{neurips2020_classification_59533,
  title = {{Classification with Valid and Adaptive Coverage}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17545},
}

@inproceedings{neurips2016_statistical_56005,
  title = {{Statistical Inference for Cluster Trees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7084},
}

@inproceedings{icml2020_efficient_38152,
  title = {{Efficient nonparametric statistical inference on population feature importance using Shapley values}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6281},
}

@inproceedings{neurips2025_perturbench_76996,
  title = {{PerturBench: Benchmarking Machine Learning Models for Cellular Perturbation Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=PPPDuyiZaG},
}

@inproceedings{icml2020_towards_38873,
  title = {{Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD)}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6126},
}

@inproceedings{aaai2022_approxifer_1751,
  title = {{ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08342-approxifer-a-model-agnostic-approach-to-resilient-and-robust-prediction-serving-systems/},
}

@inproceedings{neurips2021_conformal_61720,
  title = {{Conformal Prediction using Conditional Histograms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28872},
}

@inproceedings{aaai2022_fast_2095,
  title = {{Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09999-fast-and-more-powerful-selective-inference-for-sparse-high-order-interaction-model/},
}

@inproceedings{cvpr2023_revisiting_22066,
  title = {{Revisiting the Stack-Based Inverse Tone Mapping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22098},
}

@inproceedings{neurips2018_gamma_57153,
  title = {{Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11567},
}

@inproceedings{neurips2022_making_65132,
  title = {{Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55226},
}

@inproceedings{icml2019_kernelpsi_37862,
  title = {{kernelPSI: a Post-Selection Inference Framework for Nonlinear Variable Selection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4164},
}

@inproceedings{neurips2024_a_72541,
  title = {{A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97655},
}

@inproceedings{aaai2020_lmlfm_102054,
  title = {{LMLFM: Longitudinal Multi-Level Factorization Machine}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5916},
}

@inproceedings{aaai2024_instance_6327,
  title = {{Instance-Conditional Timescales of Decay for Non-Stationary Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29173},
}

@inproceedings{icml2024_multi_45473,
  title = {{Multi-Source Conformal Inference Under Distribution Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32978},
}

@inproceedings{neurips2024_boosted_72344,
  title = {{Boosted Conformal Prediction Intervals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95004},
}

@inproceedings{aaai2025_cradle_8555,
  title = {{Cradle-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact Disentanglement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33695},
}

@inproceedings{neurips2024_validating_73776,
  title = {{Validating Climate Models with Spherical Convolutional Wasserstein Distance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93730},
}

@inproceedings{neurips2024_reimagining_74234,
  title = {{Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93320},
}

@inproceedings{neurips2024_stratified_70738,
  title = {{Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96386},
}

@inproceedings{neurips2025_the_75835,
  title = {{The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=CXqq2v6qUv},
}

@inproceedings{neurips2025_valid_79230,
  title = {{Valid Inference with Imperfect Synthetic Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=nG0URHBvFW},
}

@inproceedings{aaai2026_t2agent_99856,
  title = {{T2Agent: A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/36977},
}

@inproceedings{icml2024_reducing_43876,
  title = {{Reducing sequential change detection to sequential estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34576},
}

@inproceedings{icml2024_active_43948,
  title = {{Active Statistical Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34504},
}

@inproceedings{icml2024_single_44005,
  title = {{Single-Model Attribution of Generative Models Through Final-Layer Inversion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34447},
}

@inproceedings{neurips2024_toward_73641,
  title = {{Toward Conditional Distribution Calibration in Survival Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93851},
}

@inproceedings{neurips2025_synthetic_79969,
  title = {{Synthetic-powered predictive inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=ujg9XKwqWT},
}

@inproceedings{aaai2025_knockoffs_9644,
  title = {{Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35404},
}

@inproceedings{icml2025_doubly_45961,
  title = {{Doubly Robust Conformalized Survival Analysis with Right-Censored Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46585},
}

@inproceedings{icml2025_prediction_46033,
  title = {{Prediction-Powered Adaptive Shrinkage Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46514},
}