% Key papers for Machine learning for physical simulation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2023_climax_42338,
  title = {{ClimaX: A foundation model for weather and climate}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24136},
}

@inproceedings{neurips2021_reinforcement_61889,
  title = {{Reinforcement learning for optimization of variational quantum circuit architectures}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27221},
}

@inproceedings{neurips2018_scalable_57601,
  title = {{Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11933},
}

@inproceedings{neurips2023_prediff_67538,
  title = {{PreDiff: Precipitation Nowcasting with Latent Diffusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/72200},
}

@inproceedings{aaai2022_qubit_2602,
  title = {{Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09935-qubit-routing-using-graph-neural-network-aided-monte-carlo-tree-search/},
}

@inproceedings{aaai2021_correlation_331,
  title = {{Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/12363-correlation-aware-heuristic-search-for-intelligent-virtual-machine-provisioning-in-cloud-systems/},
}

@inproceedings{aaai2021_physics_1167,
  title = {{Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10414-physics-constrained-automatic-feature-engineering-for-predictive-modeling-in-materials-science/},
}

@inproceedings{aaai2023_physics_4366,
  title = {{Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26664},
}

@inproceedings{cvpr2023_flexible_21009,
  title = {{Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23159},
}

@inproceedings{iclr2023_symbolic_32768,
  title = {{Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11641},
}

@inproceedings{icml2016_on_35926,
  title = {{On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/khandelwal16.html},
}

@inproceedings{iclr2022_midi_31338,
  title = {{MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6966},
}

@inproceedings{aaai2025_physics_10302,
  title = {{Physics-Guided Foundation Model for Scientific Discovery: An Application to Aquatic Science}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35078},
}

@inproceedings{neurips2020_learning_60156,
  title = {{Learning Composable Energy Surrogates for PDE Order Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18068},
}

@inproceedings{aaai2023_alpharoute_3091,
  title = {{AlphaRoute: Large-Scale Coordinated Route Planning via Monte Carlo Tree Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26422},
}

@inproceedings{cvpr2020_learning_15818,
  title = {{Learning to Measure the Static Friction Coefficient in Cloth Contact}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_nsgzero_2456,
  title = {{NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04646-nsgzero-efficiently-learning-non-exploitable-policy-in-large-scale-network-security-games-with-neural-monte-carlo-tree-search/},
}

@inproceedings{neurips2023_climsim_68390,
  title = {{ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73569},
}

@inproceedings{aaai2025_deep_8671,
  title = {{Deep Generative Model for Mechanical System Configuration Design}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33812},
}

@inproceedings{cvpr2018_inference_13225,
  title = {{Inference in Higher Order MRF-MAP Problems With Small and Large Cliques}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Shanu_Inference_in_Higher_CVPR_2018_paper.html},
}

@inproceedings{aaai2025_autoscilab_8193,
  title = {{AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31990},
}

@inproceedings{neurips2024_learning_73430,
  title = {{Learning to Predict Structural Vibrations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94031},
}

@inproceedings{aaai2024_integrated_6333,
  title = {{Integrated Systems for Computational Scientific Discovery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30269},
}

@inproceedings{neurips2024_benchmarking_73012,
  title = {{Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://openreview.net/forum?id=cX57Pbw8vS},
}

@inproceedings{neurips2024_chaosbench_74130,
  title = {{ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97481},
}

@inproceedings{aaai2025_learning_9733,
  title = {{Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32014},
}

@inproceedings{aaai2024_end_5833,
  title = {{End-to-End Phase Field Model Discovery Combining Experimentation, Crowdsourcing, Simulation and Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30342},
}

@inproceedings{aaai2024_monte_6673,
  title = {{Monte Carlo Tree Search in the Presence of Transition Uncertainty}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29994},
}

@inproceedings{icml2024_gaussian_44493,
  title = {{Gaussian Plane-Wave Neural Operator for Electron Density Estimation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33959},
}

@inproceedings{icml2025_physics_46673,
  title = {{Physics-Informed Generative Modeling of Wireless Channels}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45899},
}

@inproceedings{neurips2024_fnp_70478,
  title = {{FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96630},
}

@inproceedings{neurips2024_probablistic_71498,
  title = {{Probablistic Emulation of a Global Climate Model with Spherical DYffusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95762},
}

@inproceedings{neurips2024_infusing_72005,
  title = {{Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95309},
}

@inproceedings{neurips2025_lithosim_75861,
  title = {{LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=CtEocbcMyR},
}

@inproceedings{neurips2025_constellaration_76837,
  title = {{ConStellaration: A dataset of QI-like stellarator plasma boundaries and optimization benchmarks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=NQSbGKlCpx},
}

@inproceedings{neurips2025_globaltomo_77784,
  title = {{GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=XUpwWaH7HD},
}

@inproceedings{neurips2025_svrpbench_80290,
  title = {{SVRPBench: A Realistic Benchmark for Stochastic Vehicle Routing Problem}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=yADrJyaBJl},
}

@inproceedings{aaai2024_power_6973,
  title = {{Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract)}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30538},
}