% Key papers for Data assimilation from sparse observations (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2022_conditional_1859, title = {{Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/07470-conditional-local-convolution-for-spatio-temporal-meteorological-forecasting/}, } @inproceedings{aaai2024_earthfarsser_5791, title = {{Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29521}, } @inproceedings{neurips2023_dyffusion_68403, title = {{DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/71410}, } @inproceedings{icml2021_variational_40100, title = {{Variational Data Assimilation with a Learned Inverse Observation Operator}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/9289}, } @inproceedings{neurips2019_seeing_58959, title = {{Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13927}, } @inproceedings{cvpr2016_variable_11953, title = {{Variable Aperture Light Field Photography: Overcoming the Diffraction-Limited Spatio-Angular Resolution Tradeoff}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2016}, } @inproceedings{iclr2023_continuous_32200, title = {{Continuous PDE Dynamics Forecasting with Implicit Neural Representations}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/12133}, } @inproceedings{iclr2022_learning_31093, title = {{Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6609}, } @inproceedings{neurips2021_efficient_63020, title = {{Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/26345}, } @inproceedings{aaai2024_automated_5236, title = {{Automated State Estimation for Summarizing the Dynamics of Complex Urban Systems Using Representation Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30344}, } @inproceedings{aaai2025_side_10607, title = {{SIDE: Socially Informed Drought Estimation Toward Understanding Societal Impact Dynamics of Environmental Crisis}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35057}, } @inproceedings{cvpr2023_megahertz_21548, title = {{Megahertz Light Steering Without Moving Parts}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023}, url = {https://cvpr.thecvf.com/virtual/2023/poster/22793}, } @inproceedings{icml2021_12_38952, title = {{12-Lead ECG Reconstruction via Koopman Operators}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/10177}, } @inproceedings{neurips2016_spectral_56003, title = {{Spectral Learning of Dynamic Systems from Nonequilibrium Data}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7248}, } @inproceedings{neurips2025_generating_75231, title = {{Generating Full-field Evolution of Physical Dynamics from Irregular Sparse Observations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=5d83SyLm0Z}, } @inproceedings{aaai2026_mocast_106321, title = {{MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38628}, } @inproceedings{iclr2024_implicit_34643, title = {{Implicit Gaussian process representation of vector fields over arbitrary latent manifolds}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18431}, } @inproceedings{aaai2026_neuralom_106188, title = {{NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/38495}, } @inproceedings{aaai2026_fault_107789, title = {{Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/40141}, } @inproceedings{icml2023_computational_41964, title = {{Computational Doob h-transforms for Online Filtering of Discretely Observed Diffusions}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2023}, url = {https://icml.cc/virtual/2023/poster/24670}, } @inproceedings{icml2025_a_46331, title = {{A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46230}, } @inproceedings{icml2025_optimal_46490, title = {{Optimal Sensor Scheduling and Selection for Continuous-Discrete Kalman Filtering with Auxiliary Dynamics}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/46077}, } @inproceedings{icml2025_exploring_46802, title = {{Exploring Invariance in Images through One-way Wave Equations}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45773}, } @inproceedings{icml2026_pnp_51070, title = {{PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=IYtXaU7N6B}, } @inproceedings{icml2026_daisi_51654, title = {{DAISI: Data Assimilation with Inverse Sampling using Stochastic Interpolants}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=OWz1n5HgcC}, } @inproceedings{icml2026_sendai_52735, title = {{SENDAI: A Hierarchical Sparse-measurement, EfficieNt Data AssImilation Framework}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=YblLI3n0dn}, } @inproceedings{icml2026_cheap2rich_52947, title = {{Cheap2Rich: A Multi-Fidelity Framework for Data Assimilation and System Identification of Multiscale Physics - Rotating Detonation Engines}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=aXOchwlOHM}, } @inproceedings{neurips2025_flow_74833, title = {{Flow Field Reconstruction with Sensor Placement Policy Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=1esFEjMUBS}, } @inproceedings{neurips2025_flowdas_74852, title = {{FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=1nWqhiulqD}, } @inproceedings{neurips2025_flownet_75045, title = {{FlowNet: Modeling Dynamic Spatio-Temporal Systems via Flow Propagation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=3jjeQNeCsl}, } @inproceedings{neurips2025_gyroswin_77336, title = {{GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=SkAY3KHKn2}, } @inproceedings{neurips2025_lora_80450, title = {{LoRA-EnVar: Parameter-Efficient Hybrid Ensemble Variational Assimilation for Weather Forecasting}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=zhMl4Smau7}, }