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

@inproceedings{neurips2016_deep_55664,
  title = {{Deep ADMM-Net for Compressive Sensing MRI}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7366},
}

@inproceedings{cvpr2017_dsac_12139,
  title = {{DSAC - Differentiable RANSAC for Camera Localization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_learning_13322,
  title = {{Learning to Find Good Correspondences}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yi_Learning_to_Find_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_sr_14763,
  title = {{SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_mnemonic_11703,
  title = {{Mnemonic Descent Method: A Recurrent Process Applied for End-To-End Face Alignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2018_towards_13658,
  title = {{Towards Faster Training of Global Covariance Pooling Networks by Iterative Matrix Square Root Normalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Towards_Faster_Training_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_hierarchical_14280,
  title = {{Hierarchical Deep Stereo Matching on High-Resolution Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{iclr2019_context_28990,
  title = {{Context-adaptive Entropy Model for End-to-end Optimized Image Compression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/1115},
}

@inproceedings{cvpr2020_holistically_15656,
  title = {{Holistically-Attracted Wireframe Parsing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2017_optnet_36328,
  title = {{OptNet: Differentiable Optimization as a Layer in Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/844},
}

@inproceedings{cvpr2020_dnu_15329,
  title = {{DNU: Deep Non-Local Unrolling for Computational Spectral Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2017_end_56294,
  title = {{End-to-End Differentiable Proving}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9161},
}

@inproceedings{iclr2017_deep_28324,
  title = {{Deep Multi-task Representation Learning: A Tensor Factorisation Approach}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SkhU2fcll},
}

@inproceedings{cvpr2019_guided_14270,
  title = {{Guided Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2018_multi_57397,
  title = {{Multi-Layered Gradient Boosting Decision Trees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11356},
}

@inproceedings{iclr2020_difftaichi_29236,
  title = {{DiffTaichi: Differentiable Programming for Physical Simulation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=B1eB5xSFvr},
}

@inproceedings{neurips2018_practical_57521,
  title = {{Practical Deep Stereo (PDS): Toward applications-friendly deep stereo matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11571},
}

@inproceedings{iclr2023_maptr_33062,
  title = {{MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12211},
}

@inproceedings{icml2018_sparsemap_36992,
  title = {{SparseMAP: Differentiable Sparse Structured Inference}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2043},
}

@inproceedings{cvpr2024_para_24396,
  title = {{PARA-Drive: Parallelized Architecture for Real-time Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29664},
}

@inproceedings{aaai2024_glop_6088,
  title = {{GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30009},
}

@inproceedings{cvpr2024_pixelrnn_24473,
  title = {{PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29566},
}

@inproceedings{neurips2024_opus_72798,
  title = {{OPUS: Occupancy Prediction Using a Sparse Set}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94598},
}

@inproceedings{aaai2024_grab_6143,
  title = {{Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28149},
}

@inproceedings{aaai2024_vpdetr_7747,
  title = {{VPDETR: End-to-End Vanishing Point DEtection TRansformers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27881},
}

@inproceedings{cvpr2024_dr2net_23260,
  title = {{Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30866},
}

@inproceedings{cvpr2025_proximal_27326,
  title = {{Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33691},
}

@inproceedings{aaai2025_end_8873,
  title = {{END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32060},
}

@inproceedings{cvpr2025_driving_26010,
  title = {{Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34937},
}

@inproceedings{neurips2024_neuralsteiner_73873,
  title = {{NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93636},
}

@inproceedings{neurips2025_falcon_76266,
  title = {{FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=HUUQmnwUIx},
}

@inproceedings{aaai2025_mlaan_9855,
  title = {{MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34428},
}

@inproceedings{icml2024_sparse_44297,
  title = {{Sparse and Structured Hopfield Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34155},
}

@inproceedings{neurips2024_algebraic_72023,
  title = {{Algebraic Positional Encodings}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95293},
}

@inproceedings{neurips2025_a_77664,
  title = {{A Circular Argument: Does RoPE need to be Equivariant for Vision?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=WCenI6RU9s},
}

@inproceedings{iclr2025_eqnio_81239,
  title = {{EqNIO: Subequivariant Neural Inertial Odometry}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30531},
}

@inproceedings{cvpr2024_repan_24616,
  title = {{RepAn: Enhanced Annealing through Re-parameterization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30127},
}

@inproceedings{cvpr2025_shape_27652,
  title = {{Shape Abstraction via Marching Differentiable Support Functions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33370},
}

@inproceedings{iclr2024_fast_33904,
  title = {{Fast Updating Truncated SVD for Representation Learning with Sparse Matrices}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19171},
}