% Key papers for Neural ODE training and analysis (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_neural_57432,
  title = {{Neural Ordinary Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11635},
}

@inproceedings{neurips2019_neural_58663,
  title = {{Neural Jump Stochastic Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14012},
}

@inproceedings{icml2020_how_38288,
  title = {{How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6601},
}

@inproceedings{neurips2020_dissecting_59718,
  title = {{Dissecting Neural ODEs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18744},
}

@inproceedings{neurips2019_augmented_57923,
  title = {{Augmented Neural ODEs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13494},
}

@inproceedings{neurips2020_learning_60162,
  title = {{Learning Differential Equations that are Easy to Solve}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18838},
}

@inproceedings{neurips2018_neural_57431,
  title = {{Neural Networks Trained to Solve Differential Equations Learn General Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11404},
}

@inproceedings{icml2018_learning_36786,
  title = {{Learning Equations for Extrapolation and Control}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2364},
}

@inproceedings{aaai2021_ecg_487,
  title = {{ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00134-ecg-ode-gan-learning-ordinary-differential-equations-of-ecg-dynamics-via-generative-adversarial-learning/},
}

@inproceedings{neurips2017_principles_56594,
  title = {{Principles of Riemannian Geometry  in Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9066},
}

@inproceedings{cvpr2022_nodeo_19413,
  title = {{NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_learning_30583,
  title = {{Learning Neural Event Functions for Ordinary Differential Equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2743},
}

@inproceedings{neurips2020_on_60470,
  title = {{On Second Order Behaviour in Augmented Neural ODEs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17853},
}

@inproceedings{iclr2020_snode_29708,
  title = {{SNODE: Spectral Discretization of Neural ODEs for System Identification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Sye0XkBKvS},
}

@inproceedings{neurips2021_integrating_63352,
  title = {{Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26125},
}

@inproceedings{neurips2021_heavy_62827,
  title = {{Heavy Ball Neural Ordinary Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27392},
}

@inproceedings{aaai2024_signed_7336,
  title = {{Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28670},
}

@inproceedings{icml2022_on_40925,
  title = {{On Numerical Integration in Neural Ordinary Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16941},
}

@inproceedings{neurips2019_neural_58667,
  title = {{Neural Networks with Cheap Differential Operators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14582},
}

@inproceedings{aaai2022_latent_2306,
  title = {{Latent Time Neural Ordinary Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06010-latent-time-neural-ordinary-differential-equations/},
}

@inproceedings{aaai2025_neural_10111,
  title = {{Neural Variable-Order Fractional Differential Equation Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33769},
}

@inproceedings{aaai2025_efficient_8922,
  title = {{Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33952},
}

@inproceedings{aaai2025_symbolic_10882,
  title = {{Symbolic Neural Ordinary Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34037},
}

@inproceedings{aaai2024_operator_6860,
  title = {{Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29036},
}

@inproceedings{icml2024_colora_45088,
  title = {{CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33364},
}

@inproceedings{icml2024_stability_45641,
  title = {{Stability-Informed Initialization of Neural Ordinary Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32811},
}

@inproceedings{aaai2025_architecture_8140,
  title = {{Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33789},
}

@inproceedings{aaai2025_semi_10731,
  title = {{Semi-Implicit Neural Ordinary Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34398},
}

@inproceedings{icml2024_from_43854,
  title = {{From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34598},
}

@inproceedings{icml2024_mechanistic_45405,
  title = {{Mechanistic Neural Networks for Scientific Machine Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33046},
}

@inproceedings{icml2026_neuro_52957,
  title = {{Neuro-Symbolic AI for Analytical Solutions of Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=acvRKe2uMW},
}

@inproceedings{aaai2026_cnm_105250,
  title = {{CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38122},
}

@inproceedings{aaai2025_neural_10104,
  title = {{Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33710},
}

@inproceedings{iclr2024_neural_34563,
  title = {{Neural structure learning with stochastic differential equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18511},
}

@inproceedings{icml2024_fessnc_44860,
  title = {{FESSNC: Fast Exponentially Stable and Safe Neural Controller}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33592},
}

@inproceedings{icml2026_efficient_53298,
  title = {{Efficient Neural Controlled Differential Equations via Attentive Kernel Smoothing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=e6hVbhHEXh},
}

@inproceedings{icml2026_learning_53921,
  title = {{Learning Manifold and Itô Dynamics with Branched Neural Rough Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=k2DxnK87ml},
}

@inproceedings{icml2026_expanding_54986,
  title = {{Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=uZWpKAqjEg},
}

@inproceedings{neurips2024_simulation_71343,
  title = {{Simulation-Free Training of Neural ODEs on Paired Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95906},
}