Spatiotemporal Forecasting

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  1. BG4Sea: Biogeochemical Seasonal Forecastability via Progressive Information Scaling

    Jul 18, 2026Gabriela Martinez Balbontin, Anastase Charantonis, Dominique Bereziat +1Multivariate Time Series ForecastingTime Series Forecasting

  2. Spatio-Temporal Prediction of Unsteady Airfoil Aerodynamics Using Augmented Graph Neural Ordinary Differential Equations with Exogenous Controls

    Jul 17, 2026Henrik Lange, Reik Thormann, Philipp BekemeyerGraph Neural NetworksPDE Surrogate Modeling

  3. Robustness of Deep Learning Models for PV Power Forecasting under NWP Forecast Errors: A Spatiotemporal and Physically Interpretable Analysis

    Jul 14, 2026Dandan Chen, Yan Zhao, Xuepeng ChenTime Series ForecastingSolar Power Forecasting

  4. STKAN: Kolmogorov-Arnold Networks for Spatio-Temporal Forecasting

    Jul 14, 2026Sicong Lai, Yuehong Hu, Siru Zhong +3Kolmogorov-Arnold NetworksSpatiotemporal Forecasting

  5. Do We Really Need Transformers for Global Spatial Information Extraction in Traffic Forecasting?

    Jul 14, 2026Qihang Zhang, Siyao Zhang, Letao Kang +3Intelligent Transportation SystemsTraffic Flow Estimation

  6. TSCoNet: A Two-Stage Copula CNN-LSTM for Uncertainty-Aware Spatio-Temporal Forecasting

    Jul 11, 2026Jongwook Kim, Jong-Min KimMultivariate Time Series ForecastingCopula Models

  7. Manifold Constrained Conformal Prediction for Spatial Events

    Jul 10, 2026Collin Nill, Trevor Harris, Jason AdamsSet PredictionProbabilistic Forecasting

  8. Spatio-Temporal Scheduling Prediction Under Backhaul Delay for Resilient Coordinated Beamforming

    Jul 9, 2026Prashant Kumar Singh, Shubham Vaishnav, Ahmet Hasim Gökceoglu +1Wireless CommunicationsWireless Resource Allocation

  9. Predicting Pseudo-nitzschia harmful algal blooms along the Portuguese Coast using satellite-derived predictors

    Jul 8, 2026Ayman Bnoussaad, El Khalil Cherif, Ligia Pinto +3Spatiotemporal Forecasting

  10. Multimodal Spatiotemporal-Frequency Fusion with Peak Enhancement for Cellular Traffic Forecasting

    Jul 8, 2026Qingzhong Li, Yue Hu, Hui Ma +4Time Series ForecastingSpatiotemporal Forecasting

  11. Physics-guided spatiotemporal neural models for fuel density prediction

    Jul 8, 2026Tolga Caglar, Jaynil Jaiswal, Saqib Azim +3Wildfire ForecastingPhysics-Informed ML

  12. From Global to Local: Efficient Regional Weather Downscaling with Global Weather Foundation Model

    Jul 3, 2026Wiktor Kamzela, Jakub Kubiak, Adam Dobosz +5Spatiotemporal ForecastingWeather Forecasting

  13. Less Tokens, Better Forecasts: Sparse Residual Routing for Efficient Weather Prediction

    Jul 2, 2026Janet Wang, Yunbei Zhang, Lin Zhao +3Efficient ViTsDense Prediction

  14. When Context Compensates for Sparse Event History: AlphaEarth for Spatio-Temporal Point-Process Forecasting

    Jul 1, 2026Yahya Aalaila, Mouad Elhamdi, Gerrit Großmann +3Temporal Point ProcessesSpatial Generalization

  15. QuaMoE-DRF: Proactive Beam and Rate Adaptation via Multimodal Dynamic Radio Map Forecasting in ISAC Networks

    Jul 1, 2026Zhihan Zeng, Kaihe Wang, Zhongpei Zhang +1Integrated Sensing and CommunicationWireless Communications

  16. A Multi-Resolution Finite-Volume Inspired Deep Learning Framework for Spatiotemporal Dynamics Prediction

    Jul 1, 2026Xin-Yang Liu, Xiantao Fan, Jian-Xun WangNeural PDE SolversPDE Surrogate Modeling

  17. In-Context Residual Calibration for Uncertainty Quantification of Energy Time Series over Graphs

    Jun 30, 2026Keivan Faghih Niresi, Alice Cicirello, Olga FinkTime Series ForecastingConformal Prediction

  18. Beyond Point Estimates for Glaucoma Visual Field Forecasting with Diffusion Models

    Jun 29, 2026Marta Colmenar Herrera, Pablo Márquez Neila, Şerife Seda Kucur Ergünay +2Spatiotemporal ForecastingUncertainty Calibration

  19. t-STEP: An interpretable model for Total Electron Content predictions and irregularities estimations

    Jun 28, 2026Stephen Tete, Carl Shneider, Maxime Cordy +3Time Series ForecastingSpatiotemporal Forecasting

  20. Parameter-Efficient Quantum-Inspired Fast Weight Programmers for Traffic-Matrix Forecasting

    Jun 26, 2026Kuo-Chung Peng, Jiun-Cheng Jiang, Chun-Hua Lin +3Quantum-Inspired MLSpatiotemporal Forecasting

  21. EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

    Jun 25, 2026Junwei Luo, Shuai Yuan, Zhenya Yang +3World Model LearningForecasting Benchmarks

  22. Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting

    Jun 24, 2026Cristiana Diaconu, Jonas Scholz, Aliaksandra Shysheya +4Time Series ForecastingProbabilistic Forecasting

  23. FDN: Interpretable Spatiotemporal Forecasting with Future Decomposition Networks

    Jun 23, 2026Nicholas Majeske, Ariful AzadExplainable Time Series ForecastingTime Series Forecasting

  24. Auto-Configured Explainable Graph Neural Networks for Multi-Site Pollution Prediction

    Jun 23, 2026Abdelkader Dairi, Fouzi Harrou, Ying SunGraph Structure LearningAir Quality Prediction

  25. MVG-KAN: Multi-View Geo-Wind Guided KAN for PM2.5_{2.5} Forecasting

    Jun 23, 2026Cheng Huang, Muyao Guan, Jairus Yougui Railey +6Multivariate Time Series ForecastingAir Quality Prediction

  26. Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach

    Jun 22, 2026Danyal Maheshwari, Julia Pelzer, Miriam SchulteNeural Surrogate ModelingQuantum Convolutional Neural Networks