% Key papers for Sharpness-aware minimization theory (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_gradient_21099,
  title = {{Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23093},
}

@inproceedings{iclr2022_efficient_31653,
  title = {{Efficient Sharpness-aware Minimization for Improved Training of Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6193},
}

@inproceedings{cvpr2024_friendly_23515,
  title = {{Friendly Sharpness-Aware Minimization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29933},
}

@inproceedings{neurips2022_make_64097,
  title = {{Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54774},
}

@inproceedings{iclr2022_surrogate_31516,
  title = {{Surrogate Gap Minimization Improves Sharpness-Aware Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6070},
}

@inproceedings{icml2022_towards_41277,
  title = {{Towards Understanding Sharpness-Aware Minimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18251},
}

@inproceedings{aaai2024_cr_5358,
  title = {{CR-SAM: Curvature Regularized Sharpness-Aware Minimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28431},
}

@inproceedings{neurips2022_when_66302,
  title = {{When Do Flat Minima Optimizers Work?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54038},
}

@inproceedings{neurips2022_random_65706,
  title = {{Random Sharpness-Aware Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54978},
}

@inproceedings{neurips2023_why_66731,
  title = {{Why Does Sharpness-Aware Minimization Generalize Better Than SGD?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72901},
}

@inproceedings{icml2023_an_41524,
  title = {{An SDE for Modeling SAM: Theory and Insights}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23614},
}

@inproceedings{neurips2023_the_70102,
  title = {{The Crucial Role of Normalization in Sharpness-Aware Minimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/69875},
}

@inproceedings{iclr2025_sharpness_81030,
  title = {{Sharpness-Aware Minimization: General Analysis and Improved Rates}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30738},
}

@inproceedings{iclr2024_sharpness_33586,
  title = {{Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19489},
}

@inproceedings{icml2023_sam_41592,
  title = {{SAM operates far from home: eigenvalue regularization as a dynamical phenomenon}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24451},
}

@inproceedings{icml2024_a_43649,
  title = {{A Universal Class of Sharpness-Aware Minimization Algorithms}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34803},
}

@inproceedings{icml2024_how_45597,
  title = {{How to Escape Sharp Minima with Random Perturbations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32855},
}

@inproceedings{icml2026_fix_49552,
  title = {{Fix the Loss, Not the Radius: Rethinking the Adversarial Perturbation of Sharpness-Aware Minimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=3XGJpH7Y1r},
}

@inproceedings{neurips2025_unveiling_79632,
  title = {{Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rMptAK0Xm8},
}

@inproceedings{iclr2025_sharpness_82615,
  title = {{Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29182},
}

@inproceedings{iclr2026_sharpness_85193,
  title = {{Sharpness-Aware Machine Unlearning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=BZ8I2tXomt},
}

@inproceedings{iclr2026_towards_87477,
  title = {{Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=c0ERcCz6lD},
}

@inproceedings{iclr2026_revisiting_88735,
  title = {{Revisiting Sharpness-Aware Minimization: A More Faithful and Effective Implementation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=qTRqmMOOrH},
}

@inproceedings{iclr2026_r_88826,
  title = {{Rényi Sharpness: A Novel Sharpness that Strongly Correlates with Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=rRIhUpobCv},
}

@inproceedings{neurips2026_zeroth_95442,
  title = {{Zeroth-Order Sharpness-Aware Learning with Exponential Tilting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155109},
}

@inproceedings{aaai2026_unpacking_106767,
  title = {{Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39074},
}

@inproceedings{aaai2026_beyond_107790,
  title = {{Beyond Sharpness: The Role of Nonuniformity in Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40142},
}

@inproceedings{icml2024_improving_44055,
  title = {{Improving Sharpness-Aware Minimization by Lookahead}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34397},
}

@inproceedings{icml2026_sharpness_49992,
  title = {{Sharpness-Aware Minimization Can Hallucinate Minimizers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=7xwOy8C00l},
}

@inproceedings{icml2026_understanding_50804,
  title = {{Understanding SAM through Minimax Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FtdLp5lYOd},
}

@inproceedings{icml2026_stability_54865,
  title = {{Stability Analysis of Sharpness-Aware Minimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=tNvmMTsRqh},
}