% Key papers for Statistical analysis of ML practice (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2016_copula_11454,
  title = {{Copula Ordinal Regression for Joint Estimation of Facial Action Unit Intensity}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2022_predicting_66309,
  title = {{Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53227},
}

@inproceedings{aaai2018_early_100326,
  title = {{Early Prediction of Diabetes Complications from Electronic Health Records: A Multi-Task Survival Analysis Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11290},
}

@inproceedings{neurips2018_bayesian_56905,
  title = {{Bayesian multi-domain learning for cancer subtype discovery from next-generation sequencing count data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11869},
}

@inproceedings{icml2017_automatic_36075,
  title = {{Automatic Discovery of the Statistical Types of Variables in a Dataset}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/541},
}

@inproceedings{icml2021_neural_39660,
  title = {{Neural Symbolic Regression that scales}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9713},
}

@inproceedings{aaai2017_unbiased_104401,
  title = {{Unbiased Multivariate Correlation Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10778},
}

@inproceedings{icml2022_hyperimpute_40664,
  title = {{HyperImpute: Generalized Iterative Imputation with Automatic Model Selection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17571},
}

@inproceedings{neurips2016_launch_55808,
  title = {{Launch and Iterate: Reducing Prediction Churn}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7242},
}

@inproceedings{neurips2016_finding_55736,
  title = {{Finding significant combinations of features in the presence of categorical covariates}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6925},
}

@inproceedings{aaai2016_topic_105435,
  title = {{Topic Models to Infer Socio-Economic Maps}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9892},
}

@inproceedings{neurips2021_deep_61780,
  title = {{Deep Extended Hazard Models for Survival Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28663},
}

@inproceedings{neurips2023_transformer_66571,
  title = {{Transformer-based Planning for Symbolic Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73045},
}

@inproceedings{aaai2021_estimating_538,
  title = {{Estimating Calibrated Individualized Survival Curves with Deep Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00240-estimating-calibrated-individualized-survival-curves-with-deep-learning/},
}

@inproceedings{aaai2022_online_2509,
  title = {{Online Missing Value Imputation and Change Point Detection with the Gaussian Copula}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09199-online-missing-value-imputation-and-change-point-detection-with-the-gaussian-copula/},
}

@inproceedings{aaai2017_towards_104579,
  title = {{Towards Continuous Scientific Data Analysis and Hypothesis Evolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11157},
}

@inproceedings{aaai2016_survival_104712,
  title = {{Survival Prediction by an Integrated Learning Criterion on Intermittently Varying Healthcare Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/9999},
}

@inproceedings{neurips2022_ddxplus_65696,
  title = {{DDXPlus: A New Dataset For Automatic Medical Diagnosis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55637},
}

@inproceedings{aaai2017_learning_105724,
  title = {{Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10766},
}

@inproceedings{aaai2021_research_1266,
  title = {{Research Reproducibility as a Survival Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00469-research-reproducibility-as-a-survival-analysis/},
}

@inproceedings{aaai2024_racing_7063,
  title = {{Racing Control Variable Genetic Programming for Symbolic Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29187},
}

@inproceedings{aaai2024_on_6829,
  title = {{On the Actionability of Outcome Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30229},
}

@inproceedings{icml2024_position_45503,
  title = {{Position: Is machine learning good or bad for the natural sciences?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32948},
}

@inproceedings{neurips2024_designing_71241,
  title = {{Designing Cell-Type-Specific Promoter Sequences Using Conservative Model-Based Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96002},
}

@inproceedings{aaai2024_the_7553,
  title = {{The Moderating Effect of Instant Runoff Voting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28852},
}

@inproceedings{aaai2024_finding_6014,
  title = {{Finding Interpretable Class-Specific Patterns through Efficient Neural Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28756},
}

@inproceedings{aaai2025_whole_11299,
  title = {{Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32025},
}

@inproceedings{cvpr2025_q_27334,
  title = {{Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32418},
}

@inproceedings{iclr2024_how_35451,
  title = {{How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17622},
}

@inproceedings{neurips2025_multimodal_74926,
  title = {{Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=2afhRWVb6p},
}

@inproceedings{aaai2025_hybrid_9469,
  title = {{Hybrid Phenology Modeling for Predicting Temperature Effects on Tree Dormancy}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35068},
}

@inproceedings{aaai2025_predictive_10349,
  title = {{Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35052},
}

@inproceedings{aaai2025_spatial_10803,
  title = {{Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34993},
}

@inproceedings{iclr2024_domain_33501,
  title = {{Domain constraints improve risk prediction when outcome data is missing}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19574},
}

@inproceedings{icml2025_feedforward_48870,
  title = {{Feedforward Few-shot Species Range Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43753},
}

@inproceedings{aaai2025_ml4xcube_11336,
  title = {{ml4xcube: Machine Learning Toolkits for Earth System Data Cubes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35051},
}

@inproceedings{iclr2024_reinforcement_34362,
  title = {{Reinforcement Symbolic Regression Machine}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18713},
}

@inproceedings{icml2026_plurel_54677,
  title = {{PluRel: Synthetic Data unlocks Scaling Laws for Relational Foundation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rM9r9qyRSA},
}

@inproceedings{neurips2024_task_71607,
  title = {{Task-Agnostic Machine-Learning-Assisted Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95664},
}

@inproceedings{neurips2024_suremap_72848,
  title = {{SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94552},
}