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

@inproceedings{neurips2017_flexible_56325,
  title = {{Flexible statistical inference for mechanistic models of neural dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8921},
}

@inproceedings{neurips2016_coresets_55653,
  title = {{Coresets for Scalable Bayesian Logistic Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7178},
}

@inproceedings{aaai2019_mfbo_103291,
  title = {{MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4784},
}

@inproceedings{neurips2019_variational_59178,
  title = {{Variational Bayesian Optimal Experimental Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14623},
}

@inproceedings{neurips2020_variational_61075,
  title = {{Variational Bayesian Monte Carlo with Noisy Likelihoods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17637},
}

@inproceedings{icml2018_fast_36688,
  title = {{Fast Information-theoretic Bayesian Optimisation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1973},
}

@inproceedings{neurips2022_truncated_64890,
  title = {{Truncated proposals for scalable and hassle-free simulation-based inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54760},
}

@inproceedings{iclr2019_bayesian_29179,
  title = {{Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/670},
}

@inproceedings{neurips2019_approximate_57901,
  title = {{Approximate Bayesian Inference for a Mechanistic Model of Vesicle Release at a Ribbon Synapse}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13804},
}

@inproceedings{aaai2019_adding_100627,
  title = {{Adding Constraints to Bayesian Inverse Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3983},
}

@inproceedings{icml2016_estimating_35820,
  title = {{Estimating Cosmological Parameters from the Dark Matter Distribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/ravanbakhshb16.html},
}

@inproceedings{icml2022_bayesian_40276,
  title = {{Bayesian Model Selection, the Marginal Likelihood, and Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17991},
}

@inproceedings{icml2016_dr_35784,
  title = {{DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/mitrovic16.html},
}

@inproceedings{icml2018_bayesian_36538,
  title = {{Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1950},
}

@inproceedings{icml2019_bayesian_37185,
  title = {{Bayesian leave-one-out cross-validation for large data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3825},
}

@inproceedings{cvpr2021_learning_17328,
  title = {{Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2019_convergence_58045,
  title = {{Convergence Guarantees for Adaptive Bayesian Quadrature Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13739},
}

@inproceedings{neurips2018_bayesian_56901,
  title = {{Bayesian Nonparametric Spectral Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11960},
}

@inproceedings{icml2018_scalable_36976,
  title = {{Scalable approximate Bayesian inference for particle tracking data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2375},
}

@inproceedings{neurips2017_pass_56560,
  title = {{PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9144},
}

@inproceedings{icml2024_all_43822,
  title = {{All-in-one simulation-based inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34630},
}

@inproceedings{icml2024_simultaneous_45726,
  title = {{Simultaneous identification of models and parameters of scientific simulators}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32726},
}

@inproceedings{icml2025_addressing_49068,
  title = {{Addressing Misspecification in Simulation-based Inference through Data-driven Calibration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43556},
}

@inproceedings{neurips2024_active_73251,
  title = {{Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94187},
}

@inproceedings{aaai2024_solving_7369,
  title = {{Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29518},
}

@inproceedings{neurips2024_practical_73721,
  title = {{Practical Bayesian Algorithm Execution via Posterior Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93778},
}

@inproceedings{icml2024_outlier_43804,
  title = {{Outlier-robust Kalman Filtering through Generalised Bayes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34648},
}

@inproceedings{neurips2024_inflationary_71488,
  title = {{Inflationary Flows: Calibrated Bayesian Inference with Diffusion-Based Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95772},
}

@inproceedings{neurips2024_streaming_71902,
  title = {{Streaming Bayes GFlowNets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95402},
}

@inproceedings{neurips2024_bayesian_73727,
  title = {{Bayesian Adaptive Calibration and Optimal Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93772},
}

@inproceedings{neurips2025_multilevel_76560,
  title = {{Multilevel neural simulation-based inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=KculbVVCly},
}

@inproceedings{neurips2025_aline_78183,
  title = {{ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=btm5Z5Vu8G},
}

@inproceedings{iclr2026_compositional_86190,
  title = {{Compositional amortized inference for large-scale hierarchical Bayesian models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=N3XCVHZGW5},
}

@inproceedings{iclr2026_multifidelity_87448,
  title = {{Multifidelity Simulation-based Inference for Computationally Expensive Simulators}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=bj0dcKp9t6},
}

@inproceedings{iclr2024_implicit_34723,
  title = {{Implicit Maximum a Posteriori Filtering via Adaptive Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18351},
}

@inproceedings{icml2024_logistic_43377,
  title = {{Logistic Variational Bayes Revisited}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35075},
}

@inproceedings{icml2024_simulation_45665,
  title = {{Simulation-Based Inference with Quantile Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32787},
}

@inproceedings{icml2025_decision_48716,
  title = {{Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43906},
}

@inproceedings{icml2025_promoting_49092,
  title = {{Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43532},
}

@inproceedings{icml2026_constrained_49610,
  title = {{Constrained Bayesian Experimental Design via Online Planning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=47PywA0l3h},
}