% Key papers for Approximate inference in Bayesian neural networks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2016_a_55547,
  title = {{A Theoretically Grounded Application of Dropout in Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7250},
}

@inproceedings{icml2021_what_40112,
  title = {{What Are Bayesian Neural Network Posteriors Really Like?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10335},
}

@inproceedings{aaai2020_capsule_101925,
  title = {{Capsule Routing via Variational Bayes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5785},
}

@inproceedings{iclr2019_deterministic_28745,
  title = {{Deterministic Variational Inference for Robust Bayesian Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1019},
}

@inproceedings{neurips2020_on_60480,
  title = {{On the Expressiveness of Approximate Inference in Bayesian Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18563},
}

@inproceedings{aaai2016_assumed_105124,
  title = {{Assumed Density Filtering Methods for Learning Bayesian Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10296},
}

@inproceedings{neurips2016_natural_55889,
  title = {{Natural-Parameter Networks: A Class of Probabilistic Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7268},
}

@inproceedings{icml2019_understanding_37829,
  title = {{Understanding Priors in Bayesian Neural Networks at the Unit Level}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4258},
}

@inproceedings{icml2020_being_37970,
  title = {{Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5879},
}

@inproceedings{icml2020_how_38285,
  title = {{How Good is the Bayes Posterior in Deep Neural Networks Really?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6367},
}

@inproceedings{icml2018_adversarial_36501,
  title = {{Adversarial Distillation of Bayesian Neural Network Posteriors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://proceedings.mlr.press/v80/wang18i.html},
}

@inproceedings{icml2018_structured_37020,
  title = {{Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2321},
}

@inproceedings{iclr2022_transformers_31150,
  title = {{Transformers Can Do Bayesian Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6595},
}

@inproceedings{neurips2021_asymptotics_61231,
  title = {{Asymptotics of representation learning in finite Bayesian neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28366},
}

@inproceedings{iclr2022_bayesian_31846,
  title = {{Bayesian Neural Network Priors Revisited}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6955},
}

@inproceedings{neurips2019_bayesian_57941,
  title = {{Bayesian Learning of Sum-Product Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13748},
}

@inproceedings{aaai2023_kalman_3948,
  title = {{Kalman Bayesian Neural Networks for Closed-Form Online Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26200},
}

@inproceedings{iclr2019_variance_28733,
  title = {{Variance Networks: When Expectation Does Not Meet Your Expectations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/884},
}

@inproceedings{aaai2019_structured_103303,
  title = {{Structured Bayesian Networks: From Inference to Learning with Routes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4796},
}

@inproceedings{icml2019_partially_37648,
  title = {{Partially Exchangeable Networks and Architectures for Learning Summary Statistics in Approximate Bayesian Computation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4054},
}

@inproceedings{aaai2025_bayesian_8235,
  title = {{Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33790},
}

@inproceedings{aaai2024_full_6068,
  title = {{Full Bayesian Significance Testing for Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28731},
}

@inproceedings{aaai2024_learning_6437,
  title = {{Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30039},
}

@inproceedings{iclr2024_training_34529,
  title = {{Training Bayesian Neural Networks with Sparse Subspace Variational Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18545},
}

@inproceedings{icml2024_improving_43273,
  title = {{Improving Neural Additive Models with Bayesian Principles}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35179},
}

@inproceedings{iclr2024_a_34009,
  title = {{A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19066},
}

@inproceedings{icml2025_barnn_48285,
  title = {{BARNN: A Bayesian Autoregressive and Recurrent Neural Network}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44327},
}

@inproceedings{aaai2024_inference_6321,
  title = {{Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30042},
}

@inproceedings{iclr2024_enhancing_35539,
  title = {{Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17534},
}

@inproceedings{icml2024_connecting_45589,
  title = {{Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32863},
}

@inproceedings{icml2025_position_46121,
  title = {{Position: The Future of Bayesian Prediction Is Prior-Fitted}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/40175},
}

@inproceedings{icml2025_bayesian_47654,
  title = {{Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44943},
}

@inproceedings{icml2026_multi_52499,
  title = {{Multi-Task Bayesian In-Context Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Wcl5b7O2KT},
}

@inproceedings{icml2026_transformers_53876,
  title = {{Transformers Can Learn Posterior Predictive Distributions In-Context}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=jfKliftgkl},
}

@inproceedings{icml2026_singular_54674,
  title = {{Singular Bayesian Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=rKD8HtgY8G},
}

@inproceedings{neurips2024_reparameterization_70252,
  title = {{Reparameterization invariance in approximate Bayesian inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96837},
}

@inproceedings{neurips2024_unrolled_73042,
  title = {{Unrolled denoising networks provably learn to perform optimal Bayesian inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94381},
}

@inproceedings{neurips2024_the_73939,
  title = {{The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93573},
}

@inproceedings{neurips2025_martingale_78546,
  title = {{Martingale Posterior Neural Networks for Fast Sequential Decision Making}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fqfYzp4GKi},
}

@inproceedings{iclr2026_bayesian_87568,
  title = {{Bayesian Neural Networks for Functional ANOVA Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=cvZhXILRLI},
}