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

@inproceedings{iclr2017_beta_28332,
  title = {{beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=Sy2fzU9gl},
}

@inproceedings{aaai2017_a_105861,
  title = {{A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10983},
}

@inproceedings{iclr2017_adversarially_28199,
  title = {{Adversarially Learned Inference}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=B1ElR4cgg},
}

@inproceedings{cvpr2020_uc_16390,
  title = {{UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_towards_16371,
  title = {{Towards Visually Explaining Variational Autoencoders}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_genesis_29357,
  title = {{GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BkxfaTVFwH},
}

@inproceedings{neurips2020_metasdf_60312,
  title = {{MetaSDF: Meta-Learning Signed Distance Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16962},
}

@inproceedings{iclr2020_diverse_29917,
  title = {{Diverse Trajectory Forecasting with Determinantal Point Processes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=ryxnY3NYPS},
}

@inproceedings{icml2017_learning_36255,
  title = {{Learning Hierarchical Features from Deep Generative Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/852},
}

@inproceedings{icml2017_sequence_36392,
  title = {{Sequence to Better Sequence: Continuous Revision of Combinatorial Structures}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/623},
}

@inproceedings{aaai2017_learning_105987,
  title = {{Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11016},
}

@inproceedings{aaai2017_relational_104428,
  title = {{Relational Deep Learning: A Deep Latent Variable Model for Link Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10805},
}

@inproceedings{aaai2018_cooperative_102567,
  title = {{Cooperative Learning of Energy-Based Model and Latent Variable Model via MCMC Teaching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11834},
}

@inproceedings{aaai2018_deconvolutional_105931,
  title = {{Deconvolutional Latent-Variable Model for Text Sequence Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11991},
}

@inproceedings{iclr2018_variational_28496,
  title = {{Variational Inference of Disentangled Latent Concepts from Unlabeled Observations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/82},
}

@inproceedings{aaai2020_weakly_101894,
  title = {{Weakly Supervised Disentanglement by Pairwise Similarities}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5754},
}

@inproceedings{iclr2018_generative_28532,
  title = {{Generative Models of Visually Grounded Imagination}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/218},
}

@inproceedings{aaai2020_revision_103045,
  title = {{Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6355},
}

@inproceedings{neurips2017_variational_56767,
  title = {{Variational Memory Addressing in Generative Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9173},
}

@inproceedings{aaai2019_deep_100164,
  title = {{Deep Latent Generative Models for Energy Disaggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3872},
}

@inproceedings{aaai2024_morphvae_6675,
  title = {{MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28904},
}

@inproceedings{neurips2024_latent_73702,
  title = {{Latent Intrinsics Emerge from Training to Relight}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93795},
}

@inproceedings{iclr2024_alpha_35311,
  title = {{\$alpha\$TC-VAE: On the relationship between Disentanglement and Diversity}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17762},
}

@inproceedings{icml2024_latent_44538,
  title = {{Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33914},
}

@inproceedings{icml2024_autoencoding_44653,
  title = {{Autoencoding Conditional Neural Processes for Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33799},
}

@inproceedings{icml2025_generalization_47266,
  title = {{Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45323},
}

@inproceedings{icml2026_unsupervised_50838,
  title = {{Unsupervised Disentanglement Without Compromises : How Functional Orthogonality Enforces Identifiability}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=GDDYhRWpG4},
}

@inproceedings{icml2026_var_54525,
  title = {{Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture – Bridging Predictive and Generative Self-Supervised Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=pqgHG9xDcb},
}

@inproceedings{neurips2025_autoregressive_75058,
  title = {{Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=3oh7lBEF7X},
}

@inproceedings{iclr2025_grounding_81117,
  title = {{Grounding Continuous Representations in Geometry: Equivariant Neural Fields}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30651},
}

@inproceedings{iclr2025_synergy_81466,
  title = {{Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30309},
}

@inproceedings{iclr2026_disentanglement_85358,
  title = {{Disentanglement of Variations with Multimodal Generative Modeling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=DcHGEcqdFf},
}

@inproceedings{neurips2026_disentanglement_91869,
  title = {{Disentanglement as Identifiable Pushforward Factorisation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155738},
}

@inproceedings{neurips2026_beyond_93862,
  title = {{Beyond ICA: Identifiability by Symmetry Breaking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150471},
}

@inproceedings{cvpr2026_mapping_98460,
  title = {{Mapping Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Sen_Mapping_Networks_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_cad_104188,
  title = {{CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37717},
}

@inproceedings{aaai2026_shala_106851,
  title = {{ShaLa: Multimodal Shared Latent Generative Modelling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39203},
}

@inproceedings{aaai2026_vita_108845,
  title = {{VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41197},
}

@inproceedings{iclr2024_modelling_34318,
  title = {{Modelling complex vector drawings with stroke-clouds}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18757},
}

@inproceedings{icml2026_generative_49193,
  title = {{Generative Modeling of Discrete Latent Structures via Dynamic Policy Gradients}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=03q28fBsB7},
}