% Key papers for Physics-informed operator learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2020_predicting_100230,
  title = {{Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5403},
}

@inproceedings{iclr2021_augmenting_30584,
  title = {{Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3126},
}

@inproceedings{aaai2021_physics_1166,
  title = {{Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/00540-physics-informed-deep-learning-for-traffic-state-estimation-a-hybrid-paradigm-informed-by-second-order-traffic-models/},
}

@inproceedings{iclr2018_deep_28459,
  title = {{Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/40},
}

@inproceedings{neurips2022_pdebench_65521,
  title = {{PDEBench: An Extensive Benchmark for Scientific Machine Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55731},
}

@inproceedings{neurips2022_airfrans_65307,
  title = {{AirfRANS: High Fidelity Computational Fluid Dynamics Dataset for Approximating Reynolds-Averaged Navier–Stokes Solutions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55720},
}

@inproceedings{iclr2022_unsupervised_31596,
  title = {{Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6618},
}

@inproceedings{aaai2024_neural_6767,
  title = {{Neural Oscillators for Generalization of Physics-Informed Machine Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29204},
}

@inproceedings{iclr2021_pde_30722,
  title = {{PDE-Driven Spatiotemporal Disentanglement}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3233},
}

@inproceedings{neurips2018_variational_57764,
  title = {{Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11378},
}

@inproceedings{iclr2021_learning_30195,
  title = {{Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3004},
}

@inproceedings{icml2022_learning_40773,
  title = {{Learning to Estimate and Refine Fluid Motion with Physical Dynamics}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17519},
}

@inproceedings{aaai2024_neural_6768,
  title = {{Neural Physical Simulation with Multi-Resolution Hash Grid Encoding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28349},
}

@inproceedings{neurips2023_self_67267,
  title = {{Self-Consistent Velocity Matching of Probability Flows}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72451},
}

@inproceedings{aaai2024_physics_6953,
  title = {{Physics-Informed Representation and Learning: Control and Risk Quantification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30169},
}

@inproceedings{iclr2023_learning_32535,
  title = {{Learning Controllable Adaptive Simulation for Multi-resolution Physics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11428},
}

@inproceedings{icml2022_fast_40537,
  title = {{Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18075},
}

@inproceedings{neurips2025_physics_78253,
  title = {{Physics-Constrained Flow Matching: Sampling Generative Models with Hard Constraints}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=cf4etwjY7n},
}

@inproceedings{aaai2020_a_100279,
  title = {{A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5452},
}

@inproceedings{aaai2023_lifting_4073,
  title = {{Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25504},
}

@inproceedings{aaai2025_learning_9744,
  title = {{Learning Physics Informed Neural ODEs with Partial Measurements}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33846},
}

@inproceedings{icml2024_parcv2_44472,
  title = {{PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33980},
}

@inproceedings{neurips2024_physics_72707,
  title = {{Physics-Regularized Multi-Modal Image Assimilation for Brain Tumor Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94680},
}

@inproceedings{aaai2026_adafield_100094,
  title = {{AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37145},
}

@inproceedings{iclr2024_symmetric_34078,
  title = {{Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18997},
}

@inproceedings{iclr2024_climode_35635,
  title = {{ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17438},
}

@inproceedings{icml2024_papm_44415,
  title = {{PAPM: A Physics-aware Proxy Model for Process Systems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34037},
}

@inproceedings{neurips2024_med_74478,
  title = {{Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93097},
}

@inproceedings{iclr2025_deep_82220,
  title = {{Deep Learning Alternatives Of The Kolmogorov Superposition Theorem}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29570},
}

@inproceedings{neurips2026_scaling_93476,
  title = {{Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/155879},
}

@inproceedings{aaai2026_pimrl_100029,
  title = {{PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37080},
}

@inproceedings{cvpr2025_a_25363,
  title = {{A Physics-Informed Blur Learning Framework for Imaging Systems}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32605},
}

@inproceedings{icml2024_accelerating_45792,
  title = {{Accelerating Legacy Numerical Solvers by Non-intrusive Gradient-based Meta-solving}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32660},
}

@inproceedings{icml2025_omniarch_47496,
  title = {{OmniArch: Building Foundation Model for Scientific Computing}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45099},
}

@inproceedings{icml2025_interpolating_49053,
  title = {{Interpolating Neural Network-Tensor Decomposition (INN-TD): a scalable and interpretable approach for large-scale physics-based problems}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43571},
}

@inproceedings{neurips2024_differentiable_73254,
  title = {{Differentiable Modal Synthesis for Physical Modeling of Planar String Sound and Motion Simulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94184},
}