% Key papers for Variational Bayesian deep learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2017_bayesian_56173,
  title = {{Bayesian Compression for Deep Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9113},
}

@inproceedings{icml2017_multiplicative_36299,
  title = {{Multiplicative Normalizing Flows for Variational Bayesian Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/575},
}

@inproceedings{neurips2020_bayesian_59440,
  title = {{Bayesian Deep Learning and a Probabilistic Perspective of Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17386},
}

@inproceedings{neurips2019_a_57838,
  title = {{A Simple Baseline for Bayesian Uncertainty in Deep Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14257},
}

@inproceedings{neurips2019_practical_58820,
  title = {{Practical Deep Learning with Bayesian Principles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13585},
}

@inproceedings{cvpr2019_generalizing_14244,
  title = {{Generalizing Eye Tracking With Bayesian Adversarial Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2018_fast_36694,
  title = {{Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2261},
}

@inproceedings{aaai2017_bayesian_105865,
  title = {{Bayesian Neural Word Embedding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10987},
}

@inproceedings{neurips2020_variational_61076,
  title = {{Variational Bayesian Unlearning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18547},
}

@inproceedings{aaai2020_specifying_102013,
  title = {{Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5875},
}

@inproceedings{neurips2019_projected_58844,
  title = {{Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14417},
}

@inproceedings{neurips2021_laplace_62851,
  title = {{Laplace Redux - Effortless Bayesian Deep Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26510},
}

@inproceedings{icml2018_noisy_36874,
  title = {{Noisy Natural Gradient as Variational Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2250},
}

@inproceedings{cvpr2023_learning_21344,
  title = {{Learning Analytical Posterior Probability for Human Mesh Recovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22905},
}

@inproceedings{neurips2018_slang_57592,
  title = {{SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11605},
}

@inproceedings{icml2018_variational_37074,
  title = {{Variational Bayesian dropout: pitfalls and fixes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2336},
}

@inproceedings{icml2019_dropout_37315,
  title = {{Dropout as a Structured Shrinkage Prior}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3900},
}

@inproceedings{neurips2020_liberty_60247,
  title = {{Liberty or Depth: Deep Bayesian Neural Nets Do Not Need Complex Weight Posterior Approximations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17700},
}

@inproceedings{icml2020_the_38859,
  title = {{The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6382},
}

@inproceedings{cvpr2019_variational_14995,
  title = {{Variational Bayesian Dropout With a Hierarchical Prior}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2024_variational_34489,
  title = {{Variational Bayesian Last Layers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18585},
}

@inproceedings{neurips2024_divide_71012,
  title = {{Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96195},
}

@inproceedings{aaai2024_shuffled_7334,
  title = {{Shuffled Deep Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29224},
}

@inproceedings{neurips2024_fsp_70727,
  title = {{FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96397},
}

@inproceedings{neurips2024_bayesian_71173,
  title = {{Bayesian Online Natural Gradient (BONG)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96054},
}

@inproceedings{neurips2024_sparse_71375,
  title = {{Sparse Bayesian Generative Modeling for Compressive Sensing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95874},
}

@inproceedings{icml2024_accelerating_43644,
  title = {{Accelerating Convergence in Bayesian Few-Shot Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34808},
}

@inproceedings{icml2024_improving_43843,
  title = {{Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34609},
}

@inproceedings{icml2024_variational_44600,
  title = {{Variational Inference with Coverage Guarantees in Simulation-Based Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33852},
}

@inproceedings{icml2025_deep_47003,
  title = {{Deep Bayesian Filter for Bayes-Faithful Data Assimilation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45580},
}

@inproceedings{icml2025_improving_48649,
  title = {{Improving Generalization with Flat Hilbert Bayesian Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43972},
}

@inproceedings{icml2026_gaussian_51935,
  title = {{Gaussian Mean Field Variational Inference can Overestimate Predictive Variance}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=RG7maF4bGu},
}

@inproceedings{icml2026_predictive_53226,
  title = {{Predictive variational inference: Learn the predictively optimal posterior distribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=dVIts0fNb4},
}

@inproceedings{neurips2024_bayesian_71379,
  title = {{Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95870},
}

@inproceedings{neurips2024_enhancing_74132,
  title = {{Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93406},
}

@inproceedings{neurips2025_colt_75344,
  title = {{CoLT: The conditional localization test for assessing the accuracy of neural posterior estimates}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=761hggw1Wx},
}

@inproceedings{neurips2025_variational_75495,
  title = {{Variational Inference with Mixtures of Isotropic Gaussians}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=8gsAg9TqhK},
}

@inproceedings{neurips2025_viking_79619,
  title = {{VIKING: Deep variational inference with stochastic projections}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rHBuLD2slP},
}

@inproceedings{neurips2025_posterior_80067,
  title = {{Posterior Contraction for Sparse Neural Networks in Besov Spaces with Intrinsic Dimensionality}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=vqoiuHbOsG},
}

@inproceedings{neurips2025_model_80109,
  title = {{Model-Informed Flows for Bayesian Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=wEk10M4CPD},
}