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

@inproceedings{aaai2021_liquid_939,
  title = {{Liquid Time-constant Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07657-liquid-time-constant-networks/},
}

@inproceedings{neurips2019_latent_58461,
  title = {{Latent Ordinary Differential Equations for Irregularly-Sampled Time Series}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13668},
}

@inproceedings{neurips2019_gru_58312,
  title = {{GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13825},
}

@inproceedings{neurips2020_neural_60394,
  title = {{Neural Controlled Differential Equations for Irregular Time Series}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17252},
}

@inproceedings{neurips2021_combining_63570,
  title = {{Combining Recurrent, Convolutional, and Continuous-time Models with Linear State Space Layers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26291},
}

@inproceedings{icml2021_neural_39658,
  title = {{Neural Rough Differential Equations for Long Time Series}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10039},
}

@inproceedings{neurips2023_contiformer_68522,
  title = {{ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71304},
}

@inproceedings{neurips2021_neural_62436,
  title = {{Neural Flows: Efficient Alternative to Neural ODEs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27302},
}

@inproceedings{iclr2021_mali_30461,
  title = {{MALI: A memory efficient and reverse accurate integrator for Neural ODEs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2945},
}

@inproceedings{neurips2020_steer_60767,
  title = {{STEER : Simple Temporal Regularization For Neural ODE}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17833},
}

@inproceedings{aaai2024_ivp_6259,
  title = {{IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29534},
}

@inproceedings{icml2022_modeling_40843,
  title = {{Modeling Irregular Time Series with Continuous Recurrent Units}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16343},
}

@inproceedings{aaai2023_learnable_3985,
  title = {{Learnable Path in Neural Controlled Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25969},
}

@inproceedings{aaai2025_dualdynamics_8831,
  title = {{DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34173},
}

@inproceedings{iclr2021_neural_29969,
  title = {{Neural ODE Processes}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2925},
}

@inproceedings{iclr2024_stable_33613,
  title = {{Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19462},
}

@inproceedings{cvpr2016_solving_11876,
  title = {{Solving Temporal Puzzles}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{icml2023_markovian_42511,
  title = {{Markovian Gaussian Process Variational Autoencoders}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24454},
}

@inproceedings{neurips2023_homotopy_69622,
  title = {{Homotopy-based training of NeuralODEs for accurate dynamics discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70313},
}

@inproceedings{neurips2024_trajectory_73224,
  title = {{Trajectory Flow Matching with Applications to Clinical Time Series Modelling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94212},
}

@inproceedings{icml2024_log_43276,
  title = {{Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35176},
}

@inproceedings{iclr2024_parallelizing_33957,
  title = {{Parallelizing non-linear sequential models over the sequence length}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19118},
}

@inproceedings{iclr2024_on_35088,
  title = {{On the Generalization and Approximation Capacities of Neural Controlled Differential Equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17985},
}

@inproceedings{aaai2026_continuum_107090,
  title = {{Continuum Dropout for Neural Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39442},
}

@inproceedings{icml2024_dynamic_45732,
  title = {{Dynamic Survival Analysis with Controlled Latent States}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32720},
}

@inproceedings{icml2026_continuous_51220,
  title = {{Continuous-Time Piecewise-Linear Recurrent Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=JuaulCZ7gE},
}

@inproceedings{icml2026_hierarchical_51954,
  title = {{Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ROje5jwFq1},
}

@inproceedings{neurips2025_structured_76256,
  title = {{Structured Linear CDEs: Maximally Expressive and Parallel-in-Time Sequence Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=HKDyRDzy1E},
}

@inproceedings{iclr2025_physiome_80904,
  title = {{Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time-Series Forecasting Based on Biological ODEs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30863},
}

@inproceedings{iclr2025_neural_81482,
  title = {{Neural Functions for Learning Periodic Signal}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30294},
}

@inproceedings{iclr2025_stabilized_82625,
  title = {{Stabilized Neural Prediction of Potential Outcomes in Continuous Time}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29172},
}

@inproceedings{iclr2026_denots_86648,
  title = {{DeNOTS: Stable Deep Neural ODEs for Time Series}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=SFoDJZ1sSk},
}

@inproceedings{iclr2026_random_88203,
  title = {{Random Controlled Differential Equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=kHqt0ZSbKT},
}

@inproceedings{neurips2026_universal_89786,
  title = {{Universal Time Series Generation with Neural Controlled Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150341},
}

@inproceedings{neurips2026_curriculum_91211,
  title = {{Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153849},
}

@inproceedings{aaai2026_flowpath_107291,
  title = {{FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39643},
}