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

@inproceedings{cvpr2018_foldingnet_13127,
  title = {{FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Yang_FoldingNet_Point_Cloud_CVPR_2018_paper.html},
}

@inproceedings{cvpr2019_modeling_14527,
  title = {{Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2022_pointnext_64351,
  title = {{PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55338},
}

@inproceedings{cvpr2020_grid_15623,
  title = {{Grid-GCN for Fast and Scalable Point Cloud Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_samplenet_16176,
  title = {{SampleNet: Differentiable Point Cloud Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_learning_14454,
  title = {{Learning to Sample}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2023_dsvt_20709,
  title = {{DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22844},
}

@inproceedings{cvpr2020_adaptive_15121,
  title = {{Adaptive Hierarchical Down-Sampling for Point Cloud Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2023_flatformer_21006,
  title = {{FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21308},
}

@inproceedings{cvpr2023_attention_20408,
  title = {{Attention-Based Point Cloud Edge Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21540},
}

@inproceedings{aaai2022_svt_2687,
  title = {{SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00551-svt-net-super-light-weight-sparse-voxel-transformer-for-large-scale-place-recognition/},
}

@inproceedings{cvpr2022_patchformer_19564,
  title = {{PatchFormer: An Efficient Point Transformer With Patch Attention}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_turbo_59123,
  title = {{Turbo Autoencoder: Deep learning based channel codes for point-to-point communication channels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13464},
}

@inproceedings{cvpr2021_regularization_17727,
  title = {{Regularization Strategy for Point Cloud via Rigidly Mixed Sample}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2020_pushing_60647,
  title = {{Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/19041},
}

@inproceedings{neurips2018_training_57723,
  title = {{Training DNNs with Hybrid Block Floating Point}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11069},
}

@inproceedings{cvpr2023_cp3_20552,
  title = {{CP3: Channel Pruning Plug-In for Point-Based Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21421},
}

@inproceedings{neurips2023_spiking_67448,
  title = {{Spiking PointNet: Spiking Neural Networks for Point Clouds}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72285},
}

@inproceedings{aaai2025_spiking_10822,
  title = {{Spiking Point Transformer for Point Cloud Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35459},
}

@inproceedings{cvpr2023_binarizing_20478,
  title = {{Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22449},
}

@inproceedings{cvpr2024_lta_23906,
  title = {{LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29326},
}

@inproceedings{aaai2025_efficient_8896,
  title = {{Efficient 3D Recognition with Event-driven Spike Sparse Convolution}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34212},
}

@inproceedings{aaai2024_point_6962,
  title = {{Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28425},
}

@inproceedings{aaai2025_noise_10122,
  title = {{Noise-Injected Spiking Graph Convolution for Energy-Efficient 3D Point Cloud Denoising}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34050},
}

@inproceedings{cvpr2025_flash3d_26275,
  title = {{Flash3D: Super-scaling Point Transformers through Joint Hardware-Geometry Locality}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33156},
}

@inproceedings{icml2024_locality_45667,
  title = {{Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32785},
}

@inproceedings{icml2026_scalable_55351,
  title = {{Scalable Event Cloud Network for Event-based Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=yAAUcDLYMR},
}

@inproceedings{aaai2025_gcd_9267,
  title = {{GCD-Sampling: A General Cross-scale Decoupled Sampling for Point Cloud}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32267},
}

@inproceedings{icml2025_inrflow_48674,
  title = {{INRFlow: Flow Matching for INRs in Ambient Space}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43948},
}

@inproceedings{neurips2025_dataset_77900,
  title = {{Dataset Distillation of 3D Point Clouds via Distribution Matching}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=YtmfBtIOPQ},
}

@inproceedings{neurips2026_point_91956,
  title = {{Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/153208},
}

@inproceedings{aaai2026_primary_100501,
  title = {{Primary Visual Cortex Inspired Point Cloud Analysis Framework}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37348},
}

@inproceedings{icml2025_point_47500,
  title = {{Point Cloud Dataset Distillation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45095},
}

@inproceedings{icml2026_spikenet_49920,
  title = {{SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=7BpcmBjQL0},
}

@inproceedings{iclr2026_spiking_84827,
  title = {{Spiking Discrepancy Transformer for Point Cloud Analysis}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=7Brnh0aNFn},
}