% Key papers for Accelerating autoregressive image generation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2023_long_43127,
  title = {{Long Horizon Temperature Scaling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25200},
}

@inproceedings{neurips2025_towards_76649,
  title = {{Towards Better \& Faster Autoregressive Image Generation: From the Perspective of Entropy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=LiQH1MOCMs},
}

@inproceedings{cvpr2025_hmar_26470,
  title = {{HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34513},
}

@inproceedings{icml2025_efficient_48064,
  title = {{Efficient Generative Modeling with Residual Vector Quantization-Based Tokens}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44543},
}

@inproceedings{neurips2024_unlocking_70234,
  title = {{Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-Guidance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96852},
}

@inproceedings{neurips2025_adaptive_74697,
  title = {{Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=0EcomthIKh},
}

@inproceedings{icml2025_zipar_47341,
  title = {{ZipAR: Parallel Autoregressive Image Generation through Spatial Locality}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45251},
}

@inproceedings{icml2025_neural_48881,
  title = {{Neural Genetic Search in Discrete Spaces}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43742},
}

@inproceedings{icml2026_csd_54475,
  title = {{CSD: Content-aware Speculative Decoding for Efficient Image Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=pJbip42zR6},
}

@inproceedings{neurips2025_plug_78970,
  title = {{Plug-and-Play Context Feature Reuse for Efficient Masked Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=kLNtfA47dL},
}

@inproceedings{neurips2025_speculative_80276,
  title = {{Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=y2eWc6jrlu},
}

@inproceedings{iclr2025_lantern_81050,
  title = {{LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30718},
}

@inproceedings{iclr2025_distilled_84155,
  title = {{Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27673},
}

@inproceedings{iclr2026_partition_89134,
  title = {{Partition Generative Modeling: Masked Modeling Without Masks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=vEh1ceS154},
}

@inproceedings{neurips2026_fixed_89821,
  title = {{Fixed-Point Masked Generative Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155218},
}

@inproceedings{neurips2026_unirank_94715,
  title = {{UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152871},
}

@inproceedings{cvpr2026_vvs_97904,
  title = {{VVS: Accelerating Speculative Decoding for Visual Autoregressive Generation via Partial Verification Skipping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Dong_VVS_Accelerating_Speculative_Decoding_for_Visual_Autoregressive_Generation_via_Partial_CVPR_2026_paper.html},
}

@inproceedings{icml2025_effective_48615,
  title = {{Effective and Efficient Masked Image Generation Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44006},
}

@inproceedings{icml2026_scalingar_51153,
  title = {{ScalingAR: Scaling Confidence for Autoregressive Image Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=JBEt767Naf},
}

@inproceedings{icml2026_speculative_53339,
  title = {{Speculative Coupled Decoding for Training-Free Lossless Acceleration of Autoregressive Visual Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ea4sx1kxDz},
}

@inproceedings{iclr2026_hyperspherical_85669,
  title = {{Hyperspherical Latents Improve Continuous-Token Autoregressive Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=H13wHRiL3i},
}