% Key papers for Spatiotemporal forecasting and imputation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2016_fortune_104726, title = {{Fortune Teller: Predicting Your Career Path}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2016}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/9969}, } @inproceedings{aaai2022_stden_2683, title = {{STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/04048-stden-towards-physics-guided-neural-networks-for-traffic-flow-prediction/}, } @inproceedings{cvpr2024_diffcast_23178, title = {{DiffCast: A Unified Framework via Residual Diffusion for Precipitation Nowcasting}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2024}, url = {https://cvpr.thecvf.com/virtual/2024/poster/30756}, } @inproceedings{aaai2024_flightbert_6028, title = {{FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/27763}, } @inproceedings{aaai2021_modeling_1002, title = {{Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/04723-modeling-heterogeneous-relations-across-multiple-modes-for-potential-crowd-flow-prediction/}, } @inproceedings{neurips2019_regression_58894, title = {{Regression Planning Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13352}, } @inproceedings{neurips2021_neuromlr_62279, title = {{NeuroMLR: Robust \& Reliable Route Recommendation on Road Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/26807}, } @inproceedings{aaai2025_vqlti_11222, title = {{VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/35070}, } @inproceedings{aaai2025_aerodynamic_8066, title = {{Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2025}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/32071}, } @inproceedings{aaai2024_itrendrnn_7850, title = {{iTrendRNN: An Interpretable Trend-Aware RNN for Meteorological Spatiotemporal Prediction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/30217}, } @inproceedings{icml2025_fixing_47685, title = {{Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44912}, } @inproceedings{neurips2020_learning_60235, title = {{Learning to Select Best Forecast Tasks for Clinical Outcome Prediction}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2020}, url = {https://nips.cc/virtual/2020/poster/18137}, } @inproceedings{iclr2018_automatically_28462, title = {{Automatically Inferring Data Quality for Spatiotemporal Forecasting}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/327}, } @inproceedings{aaai2022_dynamic_2005, title = {{Dynamic Manifold Learning for Land Deformation Forecasting}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2022}, url = {https://aaai.org/papers/04725-dynamic-manifold-learning-for-land-deformation-forecasting/}, } @inproceedings{neurips2025_causal_80031, title = {{Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=vN3ZRS7L3I}, } @inproceedings{neurips2016_disease_55685, title = {{Disease Trajectory Maps}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/7327}, } @inproceedings{iclr2024_glucobench_34778, title = {{GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/18296}, } @inproceedings{neurips2025_pf_76201, title = {{PF∆: A Benchmark Dataset for Power Flow under Load, Generation, and Topology Variations}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=Gi1HtsTAkv}, } @inproceedings{aaai2026_detecting_107061, title = {{Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/39413}, } @inproceedings{cvpr2025_blood_25600, title = {{Blood Flow Speed Estimation with Optical Coherence Tomography Angiography Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2025}, url = {https://cvpr.thecvf.com/virtual/2025/poster/33414}, } @inproceedings{iclr2024_long_35700, title = {{Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2024}, url = {https://iclr.cc/virtual/2024/poster/17373}, } @inproceedings{icml2024_cogdpm_45093, title = {{CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/33359}, } @inproceedings{icml2025_temporal_48294, title = {{Temporal Difference Flows}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/44320}, } @inproceedings{icml2026_spatiotemporal_50468, title = {{Spatiotemporal Imputation with Graph-Informed Flow Matching}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=Cc5oIi4EeL}, } @inproceedings{neurips2025_hybrid_76229, title = {{Hybrid-Balance GFlowNet for Solving Vehicle Routing Problems}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2025}, url = {https://openreview.net/forum?id=GxGrGswvND}, } @inproceedings{icml2025_perceptually_46596, title = {{Perceptually Constrained Precipitation Nowcasting Model}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2025}, url = {https://icml.cc/virtual/2025/poster/45973}, } @inproceedings{icml2026_diting_51044, title = {{DITING: A Weak Degradation Listener for Battery Lifetime Early Prediction}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=IMH7K8Jn6A}, } @inproceedings{aaai2026_foreswe_108932, title = {{ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/41284}, } @inproceedings{aaai2026_trustenergy_108955, title = {{TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2026}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/41307}, }