% Key papers for Probabilistic inference for ODEs and SDEs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2022_dpm_63807,
  title = {{DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54266},
}

@inproceedings{aaai2020_odin_102244,
  title = {{ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6106},
}

@inproceedings{neurips2018_algorithmic_56856,
  title = {{Algorithmic Linearly Constrained Gaussian Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11225},
}

@inproceedings{neurips2020_deep_59651,
  title = {{Deep Energy-based Modeling of Discrete-Time Physics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17224},
}

@inproceedings{neurips2016_probabilistic_55942,
  title = {{Probabilistic Linear Multistep Methods}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6973},
}

@inproceedings{aaai2023_ode_4262,
  title = {{ODE-RSSM: Learning Stochastic Recurrent State Space Model from Irregularly Sampled Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26310},
}

@inproceedings{icml2019_goode_37386,
  title = {{GOODE: A Gaussian Off-The-Shelf Ordinary Differential Equation Solver}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4213},
}

@inproceedings{icml2016_fast_35837,
  title = {{Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/niu16.html},
}

@inproceedings{icml2020_stochastic_38789,
  title = {{Stochastic Differential Equations with Variational Wishart Diffusions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6149},
}

@inproceedings{icml2021_learning_39535,
  title = {{Learning Stochastic Behaviour from Aggregate Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8959},
}

@inproceedings{icml2022_probabilistic_41035,
  title = {{Probabilistic ODE Solutions in Millions of Dimensions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16335},
}

@inproceedings{iclr2023_finde_33299,
  title = {{FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11978},
}

@inproceedings{icml2022_continuous_40372,
  title = {{Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17111},
}

@inproceedings{neurips2022_constraining_65068,
  title = {{Constraining Gaussian Processes to Systems of Linear Ordinary Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54060},
}

@inproceedings{icml2022_autoip_40262,
  title = {{AutoIP: A United Framework to Integrate Physics into Gaussian Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16201},
}

@inproceedings{neurips2021_a_61437,
  title = {{A Probabilistic State Space Model for Joint Inference from Differential Equations and Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26829},
}

@inproceedings{neurips2024_constant_73421,
  title = {{Constant Acceleration Flow}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94039},
}

@inproceedings{aaai2025_discovering_8756,
  title = {{Discovering Symmetries of ODEs by Symbolic Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33948},
}

@inproceedings{iclr2024_on_35113,
  title = {{On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17960},
}

@inproceedings{icml2022_fenrir_40566,
  title = {{Fenrir: Physics-Enhanced Regression for Initial Value Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17163},
}

@inproceedings{icml2024_unifying_43313,
  title = {{Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35139},
}

@inproceedings{icml2024_diffusion_43413,
  title = {{Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35039},
}

@inproceedings{neurips2024_evidential_70222,
  title = {{Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96864},
}

@inproceedings{aaai2025_active_8014,
  title = {{Active Symbolic Discovery of Ordinary Differential Equations via Phase Portrait Sketching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33938},
}

@inproceedings{aaai2025_pioneer_10306,
  title = {{Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33372},
}

@inproceedings{neurips2024_gradients_72159,
  title = {{Gradients of Functions of Large Matrices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95179},
}

@inproceedings{neurips2024_symmetry_72864,
  title = {{Symmetry-Informed Governing Equation Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94538},
}

@inproceedings{neurips2025_heavy_79685,
  title = {{Heavy-Ball Momentum Method in Continuous Time and Discretization Error Analysis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=rvRaxhcjc6},
}

@inproceedings{iclr2024_decoupled_33882,
  title = {{Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19193},
}

@inproceedings{icml2024_generalization_44942,
  title = {{Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33510},
}

@inproceedings{icml2025_sde_45851,
  title = {{SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46692},
}

@inproceedings{icml2025_closed_46384,
  title = {{Closed-form Solutions: A New Perspective on Solving Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46180},
}

@inproceedings{icml2025_finite_47518,
  title = {{Finite-Time Analysis of Discrete-Time Stochastic Interpolants}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45078},
}

@inproceedings{icml2025_explicit_48390,
  title = {{Explicit Discovery of Nonlinear Symmetries from Dynamic Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44226},
}

@inproceedings{icml2026_tensor_50521,
  title = {{Tensor Train Diffusion: Leveraging Low-Rank Structures for High-Dimensional Score-Based Sampling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=DDQX97Xi1Z},
}

@inproceedings{icml2026_foundation_52803,
  title = {{Foundation Inference Models for Ordinary Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ZBHDZDaG0h},
}

@inproceedings{neurips2024_learning_74444,
  title = {{Learning Infinitesimal Generators of Continuous Symmetries from Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93128},
}