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

@inproceedings{neurips2016_fast_55729,
  title = {{Fast and accurate spike sorting of high-channel count probes with KiloSort}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7161},
}

@inproceedings{aaai2017_optimal_104518,
  title = {{Optimal Neighborhood Kernel Clustering with Multiple Kernels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10895},
}

@inproceedings{icml2017_deep_36135,
  title = {{Deep Spectral Clustering Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/494},
}

@inproceedings{icml2017_multilevel_36297,
  title = {{Multilevel Clustering via Wasserstein Means}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/788},
}

@inproceedings{cvpr2016_multiple_11719,
  title = {{Multiple Model Fitting as a Set Coverage Problem}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2022_deepdpm_18627,
  title = {{DeepDPM: Deep Clustering With an Unknown Number of Clusters}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2017_clustering_56194,
  title = {{Clustering with Noisy Queries}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9352},
}

@inproceedings{aaai2019_nearest_101687,
  title = {{Nearest-Neighbour-Induced Isolation Similarity and Its Impact on Density-Based Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4402},
}

@inproceedings{icml2019_dbscan_37262,
  title = {{DBSCAN++: Towards fast and scalable density clustering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3978},
}

@inproceedings{aaai2018_word_102392,
  title = {{Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11659},
}

@inproceedings{neurips2017_clustering_56192,
  title = {{Clustering Billions of Reads for DNA Data Storage}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9120},
}

@inproceedings{neurips2017_query_56604,
  title = {{Query Complexity of Clustering with Side Information}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9245},
}

@inproceedings{icml2018_hierarchical_36731,
  title = {{Hierarchical Clustering with Structural Constraints}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2058},
}

@inproceedings{neurips2016_crowdsourced_55656,
  title = {{Crowdsourced Clustering: Querying Edges vs Triangles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6948},
}

@inproceedings{aaai2016_topic_105169,
  title = {{Topic Concentration in Query Focused Summarization Datasets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10323},
}

@inproceedings{aaai2018_optimal_102470,
  title = {{Optimal Margin Distribution Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11737},
}

@inproceedings{aaai2019_the_101571,
  title = {{The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4265},
}

@inproceedings{icml2018_craftml_36561,
  title = {{CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2216},
}

@inproceedings{neurips2016_flexible_55740,
  title = {{Flexible Models for Microclustering with Application to Entity Resolution}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6983},
}

@inproceedings{aaai2018_balanced_102435,
  title = {{Balanced Clustering via Exclusive Lasso: A Pragmatic Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11702},
}

@inproceedings{aaai2025_k_11334,
  title = {{k-HyperEdge Medoids for Clustering Ensemble}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34010},
}

@inproceedings{aaai2024_low_6551,
  title = {{Low-Distortion Clustering with Ordinal and Limited Cardinal Information}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28811},
}

@inproceedings{aaai2026_break_107752,
  title = {{Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40104},
}

@inproceedings{aaai2024_sec_7217,
  title = {{SEC: More Accurate Clustering Algorithm via Structural Entropy}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29152},
}

@inproceedings{icml2024_mc_44743,
  title = {{MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33709},
}

@inproceedings{neurips2025_accelerating_79738,
  title = {{Accelerating data-driven algorithm selection for combinatorial partitioning problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=sXpyn3lAb5},
}

@inproceedings{iclr2026_internal_88091,
  title = {{Internal Evaluation of Density-Based Clusterings with Noise}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=izbBFuHtAX},
}

@inproceedings{iclr2024_statistically_35523,
  title = {{Statistically Optimal \$K\$-means Clustering via Nonnegative Low-rank Semidefinite Programming}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17550},
}

@inproceedings{icml2025_average_46166,
  title = {{Average Sensitivity of Hierarchical \$k\$-Median Clustering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46394},
}

@inproceedings{icml2025_learning_46689,
  title = {{Learning-Augmented Hierarchical Clustering}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45883},
}

@inproceedings{neurips2024_multidimensional_70337,
  title = {{Multidimensional Fractional Programming for Normalized Cuts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96760},
}

@inproceedings{neurips2024_optimal_74587,
  title = {{Optimal Algorithms for Learning Partitions with Faulty Oracles}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93001},
}

@inproceedings{neurips2025_ultrametric_75953,
  title = {{Ultrametric Cluster Hierarchies: I Want ‘em All!}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=E0033NpFm0},
}

@inproceedings{iclr2026_scalable_85511,
  title = {{Scalable Second-order Riemannian Optimization for \$K\$-means Clustering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=FNWNG1ftuw},
}

@inproceedings{iclr2026_summaries_86878,
  title = {{Summaries as Centroids for Interpretable and Scalable Text Clustering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Uzku7RZXvI},
}

@inproceedings{neurips2026_classification_90997,
  title = {{Classification Fields: Arbitrarily Fine Recursive Hierarchical Clustering From Few Examples}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151054},
}

@inproceedings{neurips2026_tomatomp_93207,
  title = {{ToMAToMP: Robust and Multi-Parameter Topological Clustering}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150420},
}

@inproceedings{aaai2026_scclubench_100059,
  title = {{scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37110},
}

@inproceedings{aaai2026_convex_106845,
  title = {{Convex Clustering Redefined: Robust Learning with the Median of Means Estimator}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39197},
}

@inproceedings{aaai2026_adaptive_106901,
  title = {{Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39253},
}