% Key papers for Equivariant diffusion for 3D molecules (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2022_equivariant_40508,
  title = {{Equivariant Diffusion for Molecule Generation in 3D}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16253},
}

@inproceedings{neurips2022_torsional_66336,
  title = {{Torsional Diffusion for Molecular Conformer Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54153},
}

@inproceedings{aaai2023_mdm_4106,
  title = {{MDM: Molecular Diffusion Model for 3D Molecule Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25639},
}

@inproceedings{iclr2023_3d_33072,
  title = {{3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11022},
}

@inproceedings{icml2023_geometric_43037,
  title = {{Geometric Latent Diffusion Models for 3D Molecule Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24562},
}

@inproceedings{neurips2023_crystal_67355,
  title = {{Crystal Structure Prediction by Joint Equivariant Diffusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72373},
}

@inproceedings{iclr2024_scalable_35592,
  title = {{Scalable Diffusion for Materials Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17481},
}

@inproceedings{iclr2024_mofdiff_33460,
  title = {{MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19615},
}

@inproceedings{iclr2024_space_35064,
  title = {{Space Group Constrained Crystal Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18009},
}

@inproceedings{aaai2024_geometric_6135,
  title = {{Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27787},
}

@inproceedings{icml2023_moldiff_42709,
  title = {{MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24055},
}

@inproceedings{cvpr2025_dtgbrepgen_25843,
  title = {{DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34428},
}

@inproceedings{neurips2024_graph_73021,
  title = {{Graph Diffusion Transformers for Multi-Conditional Molecular Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94402},
}

@inproceedings{neurips2023_towards_67705,
  title = {{Towards Symmetry-Aware Generation of Periodic Materials}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72046},
}

@inproceedings{iclr2024_navigating_35122,
  title = {{Navigating the Design Space of Equivariant Diffusion-Based Generative Models for De Novo 3D Molecule Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17951},
}

@inproceedings{icml2025_all_46272,
  title = {{All-atom Diffusion Transformers: Unified generative modelling of molecules and materials}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46288},
}

@inproceedings{iclr2025_symmcd_84063,
  title = {{SymmCD: Symmetry-Preserving Crystal Generation with Diffusion Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27763},
}

@inproceedings{aaai2024_disco_5683,
  title = {{DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29238},
}

@inproceedings{icml2023_coarse_41673,
  title = {{Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23731},
}

@inproceedings{neurips2023_edgi_68716,
  title = {{EDGI: Equivariant Diffusion for Planning with Embodied Agents}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71127},
}

@inproceedings{aaai2024_vector_7760,
  title = {{Vector Field Oriented Diffusion Model for Crystal Material Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30224},
}

@inproceedings{icml2025_wyckoffdiff_47130,
  title = {{WyckoffDiff -- A Generative Diffusion Model for Crystal Symmetry}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45457},
}

@inproceedings{neurips2024_generative_72040,
  title = {{Generative Hierarchical Materials Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95278},
}

@inproceedings{aaai2025_exploit_9061,
  title = {{Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32098},
}

@inproceedings{iclr2025_next_83497,
  title = {{NExT-Mol: 3D Diffusion Meets 1D Language Modeling for 3D Molecule Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28319},
}

@inproceedings{iclr2026_oxtal_84762,
  title = {{OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=6Jd5aBml0y},
}

@inproceedings{icml2025_geometric_46221,
  title = {{Geometric Representation Condition Improves Equivariant Molecule Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46339},
}

@inproceedings{icml2025_kinetic_46229,
  title = {{Kinetic Langevin Diffusion for Crystalline Materials Generation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46331},
}

@inproceedings{icml2025_unimate_47617,
  title = {{UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44980},
}

@inproceedings{neurips2024_unified_71441,
  title = {{Unified Guidance for Geometry-Conditioned Molecular Generation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95815},
}