% Key papers for Tractable probabilistic models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2017_towards_36434,
  title = {{Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/738},
}

@inproceedings{iclr2019_meta_28774,
  title = {{Meta-Learning with Latent Embedding Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/839},
}

@inproceedings{icml2017_dynamic_36168,
  title = {{Dynamic Word Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/497},
}

@inproceedings{icml2019_miwae_37526,
  title = {{MIWAE: Deep Generative Modelling and Imputation of Incomplete Data Sets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4140},
}

@inproceedings{iclr2017_pixelcnn_28224,
  title = {{PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=BJrFC6ceg},
}

@inproceedings{neurips2016_exponential_55719,
  title = {{Exponential Family Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6899},
}

@inproceedings{neurips2016_proximal_55947,
  title = {{Proximal Deep Structured Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7308},
}

@inproceedings{iclr2020_a_29468,
  title = {{A Probabilistic Formulation of Unsupervised Text Style Transfer}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJlA0C4tPS},
}

@inproceedings{iclr2020_disentanglement_29882,
  title = {{Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rygeHgSFDH},
}

@inproceedings{aaai2017_probabilistic_104455,
  title = {{Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10832},
}

@inproceedings{neurips2021_why_62000,
  title = {{Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28245},
}

@inproceedings{neurips2020_improving_60065,
  title = {{Improving Local Identifiability in Probabilistic Box Embeddings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19082},
}

@inproceedings{neurips2020_ice_60035,
  title = {{ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17047},
}

@inproceedings{icml2019_faster_37365,
  title = {{Faster Attend-Infer-Repeat with Tractable Probabilistic Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4081},
}

@inproceedings{cvpr2022_co_18422,
  title = {{CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_neural_30324,
  title = {{Neural Approximate Sufficient Statistics for Implicit Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3267},
}

@inproceedings{cvpr2024_latent_23931,
  title = {{Latent Modulated Function for Computational Optimal Continuous Image Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31265},
}

@inproceedings{aaai2018_a_102510,
  title = {{A Spherical Hidden Markov Model for Semantics-Rich Human Mobility Modeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11777},
}

@inproceedings{aaai2018_core_102459,
  title = {{Core Dependency Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11726},
}

@inproceedings{iclr2019_distribution_29084,
  title = {{Distribution-Interpolation Trade off in Generative Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/865},
}

@inproceedings{aaai2024_lingo_6400,
  title = {{LINGO-Space: Language-Conditioned Incremental Grounding for Space}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28898},
}

@inproceedings{iclr2024_subtractive_35616,
  title = {{Subtractive Mixture Models via Squaring: Representation and Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17457},
}

@inproceedings{neurips2024_latent_70144,
  title = {{Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96937},
}

@inproceedings{aaai2025_masked_9913,
  title = {{Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33685},
}

@inproceedings{icml2024_an_43765,
  title = {{An Independence-promoting Loss for Music Generation with Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34687},
}

@inproceedings{icml2025_low_47746,
  title = {{Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44854},
}

@inproceedings{icml2026_adaptive_49786,
  title = {{Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=5hDvooOKUP},
}

@inproceedings{icml2026_omitted_53935,
  title = {{Omitted Variable Bias in Language Models Under Distribution Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=kCGGQfZyaE},
}

@inproceedings{neurips2024_exogenous_74566,
  title = {{Exogenous Matching: Learning Good Proposals for Tractable Counterfactual Estimation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93019},
}

@inproceedings{neurips2025_missing_79600,
  title = {{Missing Data Imputation by Reducing Mutual Information with Rectified Flows}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=r4BrtJRmy9},
}

@inproceedings{icml2026_attention_51505,
  title = {{Attention Implements the Fisher Geometry of Exponential Families}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Mzdg78Zg7l},
}

@inproceedings{neurips2026_lecellmodel_89869,
  title = {{LeCellModel: Interpretable Density Estimation over the Gene Expression Manifold}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153391},
}