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

@inproceedings{cvpr2017_on_12505,
  title = {{On Human Motion Prediction Using Recurrent Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_independently_13223,
  title = {{Independently Recurrent Neural Network (IndRNN): Building a Longer and Deeper RNN}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Independently_Recurrent_Neural_CVPR_2018_paper.html},
}

@inproceedings{aaai2020_where_99752,
  title = {{Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5353},
}

@inproceedings{icml2016_unitary_36021,
  title = {{Unitary Evolution Recurrent Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/arjovsky16.html},
}

@inproceedings{neurips2016_phased_55937,
  title = {{Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7222},
}

@inproceedings{icml2017_tensor_36423,
  title = {{Tensor-Train Recurrent Neural Networks for Video Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/770},
}

@inproceedings{cvpr2018_learning_13267,
  title = {{Learning Compact Recurrent Neural Networks With Block-Term Tensor Decomposition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ye_Learning_Compact_Recurrent_CVPR_2018_paper.html},
}

@inproceedings{aaai2019_predicting_99933,
  title = {{Predicting Hurricane Trajectories Using a Recurrent Neural Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3819},
}

@inproceedings{aaai2019_compressing_101678,
  title = {{Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4393},
}

@inproceedings{neurips2016_full_55742,
  title = {{Full-Capacity Unitary Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7168},
}

@inproceedings{iclr2019_quaternion_28821,
  title = {{Quaternion Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/714},
}

@inproceedings{iclr2017_variable_28294,
  title = {{Variable Computation in Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=S1LVSrcge},
}

@inproceedings{icml2023_resurrecting_42119,
  title = {{Resurrecting Recurrent Neural Networks for Long Sequences}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23579},
}

@inproceedings{neurips2016_lightrnn_55849,
  title = {{LightRNN: Memory and Computation-Efficient Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7099},
}

@inproceedings{neurips2019_can_57973,
  title = {{Can SGD Learn Recurrent Neural Networks with Provable Generalization?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14047},
}

@inproceedings{iclr2018_skip_28552,
  title = {{Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/312},
}

@inproceedings{cvpr2021_towards_18020,
  title = {{Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2019_reverse_58914,
  title = {{Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14457},
}

@inproceedings{aaai2019_complex_101660,
  title = {{Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4371},
}

@inproceedings{icml2019_state_37754,
  title = {{State-Regularized Recurrent Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3704},
}

@inproceedings{neurips2024_structured_71431,
  title = {{Structured flexibility in recurrent neural networks via neuromodulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95823},
}

@inproceedings{aaai2024_on_6834,
  title = {{On the Expressivity of Recurrent Neural Cascades}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28929},
}

@inproceedings{aaai2025_enhancing_8985,
  title = {{Enhancing Predictive Healthcare Using AI-Driven Early Warning Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35326},
}

@inproceedings{iclr2024_exploring_34564,
  title = {{Exploring the Promise and Limits of Real-Time Recurrent Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18510},
}

@inproceedings{icml2024_learning_44355,
  title = {{Learning Useful Representations of Recurrent Neural Network Weight Matrices}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34097},
}

@inproceedings{neurips2024_second_72036,
  title = {{Second-order forward-mode optimization of recurrent neural networks for neuroscience}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95282},
}

@inproceedings{neurips2025_measuring_77155,
  title = {{Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=R0LqbSgZjP},
}

@inproceedings{neurips2024_recurrent_72766,
  title = {{Recurrent neural network dynamical systems for biological vision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94629},
}

@inproceedings{iclr2025_flashrnn_83266,
  title = {{FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28546},
}

@inproceedings{icml2025_learning_46931,
  title = {{Learning dynamics in linear recurrent neural networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45649},
}

@inproceedings{iclr2026_discovering_84956,
  title = {{Discovering alternative solutions beyond the simplicity bias in recurrent neural networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=8fViWZ0yZJ},
}

@inproceedings{iclr2026_flashrnn_88426,
  title = {{FlashRNN: Unlocking Parallel Training of Nonlinear RNNs for Large Language Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=mX8b64iUaa},
}