% Key papers for Latent diffusion with learned tokenizers (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_diffusion_18666,
  title = {{Diffusion Autoencoders: Toward a Meaningful and Decodable Representation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2022_diffusion_63836,
  title = {{Diffusion-LM Improves Controllable Text Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53701},
}

@inproceedings{cvpr2023_semantic_22171,
  title = {{Semantic-Conditional Diffusion Networks for Image Captioning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21056},
}

@inproceedings{iclr2023_diffuseq_33042,
  title = {{DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11561},
}

@inproceedings{icml2023_tabddpm_42732,
  title = {{TabDDPM: Modelling Tabular Data with Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24703},
}

@inproceedings{icml2020_educating_38141,
  title = {{Educating Text Autoencoders: Latent Representation Guidance via Denoising}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6616},
}

@inproceedings{neurips2018_nonlocal_57444,
  title = {{Nonlocal Neural Networks, Nonlocal Diffusion and Nonlocal Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11073},
}

@inproceedings{neurips2024_simple_71657,
  title = {{Simple and Effective Masked Diffusion Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95622},
}

@inproceedings{iclr2024_mixed_33599,
  title = {{Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19476},
}

@inproceedings{cvpr2024_soda_24719,
  title = {{SODA: Bottleneck Diffusion Models for Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30222},
}

@inproceedings{cvpr2023_binary_20479,
  title = {{Binary Latent Diffusion}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23107},
}

@inproceedings{icml2017_uncorrelation_36437,
  title = {{Uncorrelation and Evenness: a New Diversity-Promoting Regularizer}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/491},
}

@inproceedings{neurips2023_ar_66543,
  title = {{AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73068},
}

@inproceedings{neurips2023_latent_67899,
  title = {{Latent Diffusion for Language Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71868},
}

@inproceedings{icml2023_text_42924,
  title = {{Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23708},
}

@inproceedings{neurips2022_unsupervised_64537,
  title = {{Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55284},
}

@inproceedings{icml2022_latent_40747,
  title = {{Latent Diffusion Energy-Based Model for Interpretable Text Modelling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17721},
}

@inproceedings{aaai2025_explore_9067,
  title = {{Explore In-Context Segmentation via Latent Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32812},
}

@inproceedings{cvpr2024_nivel_24247,
  title = {{NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29496},
}

@inproceedings{iclr2024_copilot4d_34384,
  title = {{Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18691},
}

@inproceedings{neurips2024_diffusion_72275,
  title = {{Diffusion Model with Cross Attention as an Inductive Bias for Disentanglement}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95070},
}

@inproceedings{aaai2024_factorized_5949,
  title = {{Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28407},
}

@inproceedings{iclr2025_representation_81304,
  title = {{Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30467},
}

@inproceedings{icml2024_behavior_45073,
  title = {{Behavior Generation with Latent Actions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33379},
}

@inproceedings{neurips2025_boosting_78759,
  title = {{Boosting Generative Image Modeling via Joint Image-Feature Synthesis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=i4qAfV04rZ},
}

@inproceedings{cvpr2025_nested_27059,
  title = {{Nested Diffusion Models Using Hierarchical Latent Priors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32454},
}

@inproceedings{icml2026_scalable_51059,
  title = {{Scalable Single-Cell Gene Expression Generation with Latent Diffusion Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=IRwg87oeJo},
}

@inproceedings{neurips2024_kaleido_74035,
  title = {{Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93489},
}

@inproceedings{neurips2024_stabilize_74428,
  title = {{Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93143},
}

@inproceedings{cvpr2025_mmar_26870,
  title = {{MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33687},
}

@inproceedings{iclr2024_addp_34775,
  title = {{ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18299},
}

@inproceedings{icml2025_latent_48965,
  title = {{Latent Diffusion Planning for Imitation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43658},
}

@inproceedings{icml2026_multimodal_51775,
  title = {{Multimodal Latent Language Modeling with Next-Token Diffusion}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=PnTXyTR2VG},
}

@inproceedings{neurips2024_a_72212,
  title = {{A versatile informative diffusion model for single-cell ATAC-seq data generation and analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95129},
}