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

@inproceedings{neurips2016_interaction_55793,
  title = {{Interaction Networks for Learning about Objects, Relations and Physics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6908},
}

@inproceedings{neurips2016_learning_55834,
  title = {{Learning and Forecasting Opinion Dynamics in Social Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7023},
}

@inproceedings{iclr2021_inductive_30196,
  title = {{Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2651},
}

@inproceedings{neurips2019_attentive_57921,
  title = {{Attentive State-Space Modeling of Disease Progression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14124},
}

@inproceedings{cvpr2020_dynamic_15451,
  title = {{Dynamic Neural Relational Inference}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2017_correlated_99774,
  title = {{Correlated Cascades: Compete or Cooperate}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10483},
}

@inproceedings{neurips2018_deep_57002,
  title = {{Deep Generative Markov State Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11395},
}

@inproceedings{cvpr2018_learning_13277,
  title = {{Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Bone_Learning_Distributions_of_CVPR_2018_paper.html},
}

@inproceedings{icml2017_latent_36244,
  title = {{Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/817},
}

@inproceedings{aaai2023_einns_3524,
  title = {{EINNs: Epidemiologically-Informed Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26690},
}

@inproceedings{icml2020_simgans_38759,
  title = {{SimGANs: Simulator-Based Generative Adversarial Networks for ECG Synthesis to Improve Deep ECG Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6235},
}

@inproceedings{iclr2017_recurrent_28259,
  title = {{Recurrent Hidden Semi-Markov Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=HJGODLqgx},
}

@inproceedings{iclr2018_simulating_28676,
  title = {{Simulating Action Dynamics with Neural Process Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/85},
}

@inproceedings{cvpr2020_generative_15598,
  title = {{Generative Hybrid Representations for Activity Forecasting With No-Regret Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_learning_60158,
  title = {{Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18930},
}

@inproceedings{aaai2019_neural_101589,
  title = {{Neural Collective Graphical Models for Estimating Spatio-Temporal Population Flow from Aggregated Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4283},
}

@inproceedings{neurips2020_stlnet_60768,
  title = {{STLnet: Signal Temporal Logic Enforced Multivariate Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18760},
}

@inproceedings{aaai2021_neural_1057,
  title = {{Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04054-neural-latent-space-model-for-dynamic-networks-and-temporal-knowledge-graphs/},
}

@inproceedings{icml2018_dependent_36629,
  title = {{Dependent Relational Gamma Process Models for Longitudinal Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1942},
}

@inproceedings{neurips2022_the_66242,
  title = {{The least-control principle for local learning at equilibrium}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53228},
}

@inproceedings{icml2024_dyslim_43397,
  title = {{DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35055},
}

@inproceedings{aaai2024_learning_6459,
  title = {{Learning Hybrid Dynamics Models with Simulator-Informed Latent States}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29075},
}

@inproceedings{neurips2024_continuous_71314,
  title = {{Continuous Temporal Domain Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95933},
}

@inproceedings{neurips2024_towards_73080,
  title = {{Towards the Dynamics of a DNN Learning Symbolic Interactions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94348},
}

@inproceedings{aaai2026_modeling_100044,
  title = {{Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37095},
}

@inproceedings{aaai2024_investigation_6356,
  title = {{Investigation into Training Dynamics of Learned Optimizers (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30514},
}

@inproceedings{iclr2024_latent_34735,
  title = {{Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18339},
}

@inproceedings{icml2026_independent_49606,
  title = {{Independent Component Discovery in Temporal Count Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=46FG6Y9MuF},
}

@inproceedings{icml2026_lerd_50304,
  title = {{LERD: Latent Event-Relational Dynamics for Neurodegenerative Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=B5DAV1EA8Z},
}

@inproceedings{icml2026_dynamics_50885,
  title = {{Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Ge3VtuCvZ7},
}

@inproceedings{icml2026_dynamic_52681,
  title = {{Dynamic Compression Flows for Neuroscience Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Y86LpaxXz4},
}

@inproceedings{icml2026_drl_53714,
  title = {{DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=hyksWoNb7h},
}

@inproceedings{neurips2024_dynamics_73112,
  title = {{Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94317},
}

@inproceedings{neurips2024_emergence_73919,
  title = {{Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93592},
}

@inproceedings{neurips2024_neural_74079,
  title = {{Neural Persistence Dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93451},
}

@inproceedings{neurips2024_gated_74614,
  title = {{Gated Inference Network: Inference and Learning State-Space Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/92976},
}

@inproceedings{neurips2025_uncover_74688,
  title = {{Uncover Governing Law of Pathology Propagation Mechanism Through A Mean-Field Game}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=098tsRhmQ7},
}

@inproceedings{neurips2025_brainode_75426,
  title = {{BrainODE: Neural Shape Dynamics for Age- and Disease-aware Brain Trajectories}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=7yOl9qiLWd},
}

@inproceedings{neurips2025_sparse_78801,
  title = {{Sparse Diffusion Autoencoder for Test-time Adapting Prediction of Complex Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=iWWPtwXfnO},
}

@inproceedings{neurips2025_latent_79805,
  title = {{Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=t7NLyOtPEi},
}