% Key papers for Implicit bias in linear networks (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2018_characterizing_36568,
  title = {{Characterizing Implicit Bias in Terms of Optimization Geometry}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2406},
}

@inproceedings{neurips2018_implicit_57221,
  title = {{Implicit Bias of Gradient Descent on Linear Convolutional Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11900},
}

@inproceedings{iclr2021_a_30426,
  title = {{A unifying view on implicit bias in training linear neural networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2826},
}

@inproceedings{iclr2020_implicit_29500,
  title = {{Implicit Bias of Gradient Descent based Adversarial Training on Separable Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HkgTTh4FDH},
}

@inproceedings{iclr2018_the_28665,
  title = {{The Implicit Bias of Gradient Descent on Separable Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/236},
}

@inproceedings{neurips2020_can_59508,
  title = {{Can Implicit Bias Explain Generalization? Stochastic Convex Optimization as a Case Study}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17662},
}

@inproceedings{icml2021_on_39710,
  title = {{On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10387},
}

@inproceedings{iclr2023_implicit_32396,
  title = {{Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10729},
}

@inproceedings{neurips2019_the_59064,
  title = {{The Implicit Bias of AdaGrad on Separable Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13854},
}

@inproceedings{neurips2020_implicit_60044,
  title = {{Implicit Bias in Deep Linear Classification: Initialization Scale vs Training Accuracy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18201},
}

@inproceedings{neurips2023_implicit_67505,
  title = {{Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72230},
}

@inproceedings{icml2021_the_40020,
  title = {{The Implicit Bias for Adaptive Optimization Algorithms on Homogeneous Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10219},
}

@inproceedings{neurips2021_implicit_63453,
  title = {{Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26447},
}

@inproceedings{icml2021_asymmetric_39059,
  title = {{Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9019},
}

@inproceedings{neurips2022_implicit_65786,
  title = {{Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53716},
}

@inproceedings{iclr2021_direction_29984,
  title = {{Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2821},
}

@inproceedings{iclr2022_implicit_31345,
  title = {{Implicit Bias of MSE Gradient Optimization in Underparameterized Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7090},
}

@inproceedings{icml2024_beyond_44410,
  title = {{Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34042},
}

@inproceedings{neurips2021_how_63480,
  title = {{How Data Augmentation affects Optimization for Linear Regression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28668},
}

@inproceedings{neurips2022_on_64383,
  title = {{On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54436},
}

@inproceedings{neurips2024_the_71570,
  title = {{The Implicit Bias of Gradient Descent on Separable Multiclass Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95699},
}

@inproceedings{aaai2025_effects_8895,
  title = {{Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34118},
}

@inproceedings{icml2024_nonparametric_43301,
  title = {{Nonparametric Teaching of Implicit Neural Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35151},
}

@inproceedings{icml2024_implicit_44628,
  title = {{Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33824},
}

@inproceedings{icml2024_bias_45837,
  title = {{Bias of Stochastic Gradient Descent or the Architecture: Disentangling the Effects of Overparameterization of Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32615},
}

@inproceedings{icml2025_implicit_48760,
  title = {{Implicit Bias of Gradient Descent for Non-Homogeneous Deep Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43862},
}

@inproceedings{icml2026_the_50581,
  title = {{The Implicit Bias of Adam and Muon on Smooth Homogeneous Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DpIc1cpNKG},
}

@inproceedings{icml2026_gradient_51036,
  title = {{Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=IJph1t3Egr},
}

@inproceedings{icml2026_conservation_52992,
  title = {{Conservation Laws for Modern Neural Architectures}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ay4Q69fAJL},
}

@inproceedings{neurips2024_the_73520,
  title = {{The Implicit Bias of Gradient Descent toward Collaboration between Layers: A Dynamic Analysis of Multilayer Perceptions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93957},
}

@inproceedings{neurips2024_the_73952,
  title = {{The Implicit Bias of Heterogeneity towards Invariance: A Study of Multi-Environment Matrix Sensing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93560},
}

@inproceedings{neurips2024_implicit_74440,
  title = {{Implicit Bias of Mirror Flow on Separable Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93131},
}

@inproceedings{neurips2024_the_74489,
  title = {{The Implicit Bias of Adam on Separable Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93086},
}

@inproceedings{neurips2025_when_77185,
  title = {{When majority rules, minority loses: bias amplification of gradient descent}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=RDe4Ntw2oy},
}

@inproceedings{neurips2025_the_77762,
  title = {{The Rich and the Simple: On the Implicit Bias of Adam and SGD}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=XLvHmzaHsx},
}

@inproceedings{neurips2025_implicit_77979,
  title = {{Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Zn2ajV1kTQ},
}

@inproceedings{iclr2025_flavors_81188,
  title = {{Flavors of Margin: Implicit Bias of Steepest Descent in Homogeneous Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30582},
}

@inproceedings{iclr2025_implicit_81597,
  title = {{Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30180},
}

@inproceedings{iclr2025_feature_84160,
  title = {{Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27668},
}