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

@inproceedings{aaai2018_sequence_105764,
  title = {{Sequence-to-Point Learning With Neural Networks for Non-Intrusive Load Monitoring}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11873},
}

@inproceedings{neurips2016_retain_55953,
  title = {{RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7125},
}

@inproceedings{neurips2017_gated_56334,
  title = {{Gated Recurrent Convolution Neural Network for OCR}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8830},
}

@inproceedings{icml2017_recurrent_36360,
  title = {{Recurrent Highway Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/656},
}

@inproceedings{iclr2019_ordered_28746,
  title = {{Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/660},
}

@inproceedings{cvpr2019_multi_14547,
  title = {{Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2021_recurrent_30612,
  title = {{Recurrent Independent Mechanisms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3224},
}

@inproceedings{iclr2018_communication_28721,
  title = {{Communication Algorithms via Deep Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/20},
}

@inproceedings{neurips2020_the_60966,
  title = {{The interplay between randomness and structure during learning in RNNs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17936},
}

@inproceedings{iclr2023_neural_32711,
  title = {{Neural Networks and the Chomsky Hierarchy}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12189},
}

@inproceedings{icml2020_improving_38310,
  title = {{Improving the Gating Mechanism of Recurrent Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6679},
}

@inproceedings{neurips2019_wide_59204,
  title = {{Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14019},
}

@inproceedings{neurips2017_deep_56244,
  title = {{Deep Recurrent Neural Network-Based Identification of Precursor microRNAs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9074},
}

@inproceedings{neurips2017_cortical_56222,
  title = {{Cortical microcircuits as gated-recurrent neural networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8824},
}

@inproceedings{neurips2018_approximating_56871,
  title = {{Approximating Real-Time Recurrent Learning with Random Kronecker Factors}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11637},
}

@inproceedings{icml2018_reviving_36962,
  title = {{Reviving and Improving Recurrent Back-Propagation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/1998},
}

@inproceedings{aaai2020_graduate_100235,
  title = {{Graduate Employment Prediction with Bias}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5408},
}

@inproceedings{aaai2019_attentive_100567,
  title = {{Attentive Tensor Product Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3934},
}

@inproceedings{iclr2018_deep_28657,
  title = {{Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/239},
}

@inproceedings{neurips2021_going_63181,
  title = {{Going Beyond Linear Transformers with Recurrent Fast Weight Programmers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27411},
}

@inproceedings{iclr2024_traveling_35277,
  title = {{Traveling Waves Encode The Recent Past and Enhance Sequence Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17796},
}

@inproceedings{neurips2024_rtify_73818,
  title = {{RTify: Aligning Deep Neural Networks with Human Behavioral Decisions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93690},
}

@inproceedings{neurips2025_unfolding_77667,
  title = {{Unfolding the Black Box of Recurrent Neural Networks for Path Integration}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=WENq0drMfO},
}

@inproceedings{icml2024_hidden_44242,
  title = {{Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34210},
}

@inproceedings{neurips2024_unconditional_70545,
  title = {{Unconditional stability of a recurrent neural circuit implementing divisive normalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96568},
}

@inproceedings{aaai2026_on_107072,
  title = {{On Logical Extrapolation for Mazes with Recurrent and Implicit Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39424},
}

@inproceedings{iclr2024_emergent_35639,
  title = {{Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17434},
}

@inproceedings{neurips2025_rnns_80204,
  title = {{RNNs perform task computations by dynamically warping neural representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=xEauKyHVJj},
}

@inproceedings{neurips2025_revisiting_80235,
  title = {{Revisiting Bi-Linear State Transitions in Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=xcqrAzYzCj},
}

@inproceedings{iclr2025_associative_83363,
  title = {{Associative memory and dead neurons}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28453},
}

@inproceedings{iclr2024_leveraging_33987,
  title = {{Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19088},
}

@inproceedings{icml2025_dynamical_49104,
  title = {{Dynamical phases of short-term memory mechanisms in RNNs}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43521},
}

@inproceedings{icml2026_symbol_49338,
  title = {{Symbol-Equivariant Recurrent Reasoning Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=1YCpxT3t5V},
}

@inproceedings{icml2026_an_49978,
  title = {{An Algebraic View of the Expressivity of Recurrent Language Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=7pbmZatDuD},
}

@inproceedings{icml2026_step_51911,
  title = {{Step-Resolved Data Attribution for Looped Transformers}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=R3GDb4y629},
}

@inproceedings{icml2026_sequential_54362,
  title = {{Sequential Group Composition: A Window into the Mechanics of Deep Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=oFD9pc53pF},
}

@inproceedings{neurips2024_universal_71374,
  title = {{Universal In-Context Approximation By Prompting Fully Recurrent Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95875},
}

@inproceedings{neurips2024_neuralsolver_71518,
  title = {{NeuralSolver: Learning Algorithms For Consistent and Efficient Extrapolation Across General Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95745},
}

@inproceedings{neurips2024_geometry_71831,
  title = {{Geometry of naturalistic object representations in recurrent neural network models of working memory}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95467},
}

@inproceedings{neurips2025_flow_76787,
  title = {{Flow Equivariant Recurrent Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=N1KPOlcN6P},
}