% Key papers for Structured continuous-depth models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2018_learning_102413,
  title = {{Learning Across Scales---Multiscale Methods for Convolution Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11680},
}

@inproceedings{iclr2020_deep_29578,
  title = {{Deep Learning For Symbolic Mathematics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=S1eZYeHFDS},
}

@inproceedings{neurips2020_neural_60398,
  title = {{Neural Manifold Ordinary Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17185},
}

@inproceedings{cvpr2022_learning_19199,
  title = {{Learning Optimal K-Space Acquisition and Reconstruction Using Physics-Informed Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_training_61006,
  title = {{Training Generative Adversarial Networks by Solving Ordinary Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18977},
}

@inproceedings{neurips2021_on_62871,
  title = {{On the Validity of Modeling SGD with Stochastic Differential Equations (SDEs)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26813},
}

@inproceedings{aaai2021_the_1496,
  title = {{The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00548-the-lob-recreation-model-predicting-the-limit-order-book-from-taq-history-using-an-ordinary-differential-equation-recurrent-neural-network/},
}

@inproceedings{aaai2022_shaping_2736,
  title = {{Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09567-shaping-noise-for-robust-attributions-in-neural-stochastic-differential-equations/},
}

@inproceedings{icml2019_ares_37117,
  title = {{AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3857},
}

@inproceedings{neurips2019_a_57839,
  title = {{A Solvable High-Dimensional Model of GAN}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14309},
}

@inproceedings{neurips2022_neural_66060,
  title = {{Neural Conservation Laws: A Divergence-Free Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53752},
}

@inproceedings{neurips2024_adaflow_74302,
  title = {{AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93256},
}

@inproceedings{aaai2022_hod_2199,
  title = {{HoD-Net: High-Order Differentiable Deep Neural Networks and Applications}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/08249-hod-net-high-order-differentiable-deep-neural-networks-and-applications/},
}

@inproceedings{neurips2020_a_59300,
  title = {{A shooting formulation of deep learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18495},
}

@inproceedings{neurips2021_sparse_62561,
  title = {{Sparse Flows: Pruning Continuous-depth Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26911},
}

@inproceedings{neurips2024_exact_73731,
  title = {{Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93768},
}

@inproceedings{icml2021_functional_39364,
  title = {{Functional Space Analysis of Local GAN Convergence}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10305},
}

@inproceedings{icml2023_neural_41392,
  title = {{Neural signature kernels as infinite-width-depth-limits of controlled ResNets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23861},
}

@inproceedings{neurips2023_exploring_66622,
  title = {{Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72998},
}

@inproceedings{aaai2023_casode_3239,
  title = {{CasODE: Modeling Irregular Information Cascade via Neural Ordinary Differential Equations (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26956},
}

@inproceedings{icml2024_attns_43570,
  title = {{AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34882},
}

@inproceedings{icml2024_dna_44278,
  title = {{DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34174},
}

@inproceedings{icml2026_score_54971,
  title = {{Score Based Error Correcting Code Decoder}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=uQiLoAF0bM},
}

@inproceedings{neurips2024_melloc_71872,
  title = {{MeLLoC: Lossless Compression with High-order Mechanism Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95430},
}

@inproceedings{neurips2025_bundleflow_78776,
  title = {{BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=iD3UTLZ6B9},
}

@inproceedings{icml2026_deep_51522,
  title = {{Deep Trajectory Supervision: Deep Supervision Strikes Back}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=N9kBjRH0Cx},
}