% Key papers for Neural operators for general geometries (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2021_fourier_30463,
  title = {{Fourier Neural Operator for Parametric Partial Differential Equations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3281},
}

@inproceedings{neurips2020_implicit_60047,
  title = {{Implicit Neural Representations with Periodic Activation Functions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16958},
}

@inproceedings{neurips2024_fourier_70851,
  title = {{Fourier Neural Operator with Learned Deformations for PDEs on General Geometries}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/98327},
}

@inproceedings{neurips2021_multiwavelet_61973,
  title = {{Multiwavelet-based Operator Learning for Differential Equations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/26769},
}

@inproceedings{aaai2023_transfer_4872,
  title = {{Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26262},
}

@inproceedings{aaai2022_solving_2759,
  title = {{Solving PDE-Constrained Control Problems Using Operator Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04504-solving-pde-constrained-control-problems-using-operator-learning/},
}

@inproceedings{neurips2023_operator_66798,
  title = {{Operator Learning with Neural Fields: Tackling PDEs on General Geometries}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72838},
}

@inproceedings{neurips2024_latent_72450,
  title = {{Latent Neural Operator for Solving Forward and Inverse PDE Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94908},
}

@inproceedings{neurips2021_ntopo_62654,
  title = {{NTopo: Mesh-free Topology Optimization using Implicit Neural Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27173},
}

@inproceedings{neurips2022_neurolight_64542,
  title = {{NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55267},
}

@inproceedings{icml2024_neural_45679,
  title = {{Neural Operators with Localized Integral and Differential Kernels}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32773},
}

@inproceedings{iclr2023_factorized_33308,
  title = {{Factorized Fourier Neural Operators}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10680},
}

@inproceedings{icml2023_neural_42289,
  title = {{Neural Inverse Operators for Solving PDE Inverse Problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24713},
}

@inproceedings{iclr2022_steerable_31197,
  title = {{Steerable Partial Differential Operators for Equivariant Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6313},
}

@inproceedings{icml2023_group_42820,
  title = {{Group Equivariant Fourier Neural Operators for Partial Differential Equations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/23875},
}

@inproceedings{neurips2023_steik_67823,
  title = {{StEik: Stabilizing the Optimization of Neural Signed Distance Functions and Finer Shape Representation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71936},
}

@inproceedings{neurips2023_domain_69802,
  title = {{Domain Agnostic Fourier Neural Operators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70145},
}

@inproceedings{neurips2024_derivative_72514,
  title = {{Derivative-enhanced Deep Operator Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94851},
}

@inproceedings{neurips2024_amortized_72811,
  title = {{Amortized Fourier Neural Operators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94587},
}

@inproceedings{neurips2024_data_71814,
  title = {{Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95483},
}

@inproceedings{neurips2024_pretraining_74416,
  title = {{Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93155},
}

@inproceedings{aaai2024_component_5444,
  title = {{Component Fourier Neural Operator for Singularly Perturbed Differential Equations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29274},
}

@inproceedings{cvpr2025_accurate_25420,
  title = {{Accurate Differential Operators for Hybrid Neural Fields}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33708},
}

@inproceedings{iclr2024_neural_33518,
  title = {{Neural Spectral Methods: Self-supervised learning in the spectral domain}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19557},
}

@inproceedings{icml2025_linearization_46085,
  title = {{Linearization Turns Neural Operators into Function-Valued Gaussian Processes}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46474},
}

@inproceedings{neurips2024_stochastic_71522,
  title = {{Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95741},
}

@inproceedings{neurips2024_alias_73304,
  title = {{Alias-Free Mamba Neural Operator}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94139},
}

@inproceedings{neurips2024_pace_74288,
  title = {{PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93270},
}

@inproceedings{neurips2025_learning_77314,
  title = {{Learning to Insert for Constructive Neural Vehicle Routing Solver}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=SXr3Dynctm},
}

@inproceedings{icml2024_reference_43782,
  title = {{Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34670},
}

@inproceedings{icml2024_neural_44046,
  title = {{Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34406},
}

@inproceedings{icml2024_beyond_44768,
  title = {{Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33684},
}

@inproceedings{iclr2025_spectral_81844,
  title = {{Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29939},
}

@inproceedings{aaai2026_cross_107535,
  title = {{Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39887},
}