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

@inproceedings{aaai2021_combining_265,
  title = {{Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03677-combining-reinforcement-learning-and-constraint-programming-for-combinatorial-optimization/},
}

@inproceedings{iclr2020_a_29275,
  title = {{A Learning-based Iterative Method for Solving Vehicle Routing Problems}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BJe1334YDH},
}

@inproceedings{neurips2018_greedy_57189,
  title = {{Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11102},
}

@inproceedings{aaai2017_maximizing_104592,
  title = {{Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11170},
}

@inproceedings{iclr2020_differentiation_29338,
  title = {{Differentiation of Blackbox Combinatorial Solvers}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BkevoJSYPB},
}

@inproceedings{aaai2017_data_105708,
  title = {{Data-Driven Approximations to NP-Hard Problems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10750},
}

@inproceedings{aaai2018_warmstarting_101109,
  title = {{Warmstarting of Model-Based Algorithm Configuration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11532},
}

@inproceedings{aaai2022_learning_2356,
  title = {{Learning to Solve Travelling Salesman Problem with Hardness-Adaptive Curriculum}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09136-learning-to-solve-travelling-salesman-problem-with-hardness-adaptive-curriculum/},
}

@inproceedings{aaai2018_towards_106133,
  title = {{Towards Generalization in QBF Solving via Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12208},
}

@inproceedings{cvpr2022_learning_19230,
  title = {{Learning To Solve Hard Minimal Problems}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_deep_100663,
  title = {{Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5531},
}

@inproceedings{neurips2023_neural_68113,
  title = {{Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71671},
}

@inproceedings{neurips2023_deepaco_68766,
  title = {{DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71083},
}

@inproceedings{iclr2022_pareto_31265,
  title = {{Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7076},
}

@inproceedings{aaai2018_single_101010,
  title = {{Single-Peakedness and Total Unimodularity: New Polynomial-Time Algorithms for Multi-Winner Elections}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11460},
}

@inproceedings{neurips2021_learning_61269,
  title = {{Learning Hard Optimization Problems: A Data Generation Perspective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28118},
}

@inproceedings{neurips2020_belief_59449,
  title = {{Belief Propagation Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19029},
}

@inproceedings{aaai2016_solving_104818,
  title = {{Solving the Station Repacking Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10077},
}

@inproceedings{aaai2022_fast_2087,
  title = {{Fast Approximations for Job Shop Scheduling: A Lagrangian Dual Deep Learning Method}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/07239-fast-approximations-for-job-shop-scheduling-a-lagrangian-dual-deep-learning-method/},
}

@inproceedings{icml2019_capsandruns_37208,
  title = {{CapsAndRuns: An Improved Method for Approximately Optimal Algorithm Configuration}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3650},
}

@inproceedings{aaai2024_nn_6737,
  title = {{NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29200},
}

@inproceedings{neurips2024_udc_73072,
  title = {{UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94355},
}

@inproceedings{aaai2025_dualopt_8834,
  title = {{DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34926},
}

@inproceedings{aaai2025_runtime_10584,
  title = {{Runtime Analysis for Multi-Objective Evolutionary Algorithms in Unbounded Integer Spaces}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34901},
}

@inproceedings{aaai2024_optimal_6864,
  title = {{Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28894},
}

@inproceedings{aaai2024_theoretical_7557,
  title = {{Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30060},
}

@inproceedings{neurips2024_are_72279,
  title = {{Are Graph Neural Networks Optimal Approximation Algorithms?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95066},
}

@inproceedings{aaai2024_on_6822,
  title = {{On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28895},
}

@inproceedings{neurips2024_districtnet_73838,
  title = {{DistrictNet: Decision-aware learning for geographical districting}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93670},
}

@inproceedings{aaai2026_ucpo_108665,
  title = {{UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41017},
}

@inproceedings{aaai2024_sat_7204,
  title = {{SAT-Based Tree Decomposition with Iterative Cascading Policy Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28659},
}

@inproceedings{icml2025_neural_48001,
  title = {{Neural Solver Selection for Combinatorial Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44604},
}

@inproceedings{neurips2024_neural_71150,
  title = {{Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96075},
}

@inproceedings{neurips2024_learning_73766,
  title = {{Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93738},
}

@inproceedings{neurips2025_rethinking_76675,
  title = {{Rethinking Neural Combinatorial Optimization for Vehicle Routing Problems with Different Constraint Tightness Degrees}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Lwn1rLB8t7},
}

@inproceedings{neurips2025_preference_77403,
  title = {{Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=TSd6GrXTFW},
}

@inproceedings{neurips2025_neural_77500,
  title = {{Neural Combinatorial Optimization for Time Dependent Traveling Salesman Problem}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=UXTR6ZYV1x},
}

@inproceedings{iclr2025_approximation_81126,
  title = {{Approximation algorithms for combinatorial optimization with predictions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30643},
}

@inproceedings{iclr2025_learning_81153,
  title = {{Learning-Guided Rolling Horizon Optimization for Long-Horizon Flexible Job-Shop Scheduling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30617},
}

@inproceedings{iclr2025_polynet_82242,
  title = {{PolyNet: Learning Diverse Solution Strategies for Neural Combinatorial Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29548},
}