physics-guided learning

AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting AAAI 2026 Learning Subglacial Bed Topography from Sparse Radar with Physics-Guided Residuals WACV 2026 MIX-based Foreground and Background Patch Augmentation Guided by Physics and Material Properties for X-ray Detection WACV 2026 MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting AAAI 2026 Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction AAAI 2026 Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems ICLR 2025 PHATNet: A Physics-guided Haze Transfer Network for Domain-adaptive Real-world Image Dehazing ICCV 2025 Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks AAAI 2025 SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models AAAI 2024 Transfer Learning Using Inaccurate Physics Rule for Streamflow Prediction IJCAI 2024 Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023 Physics-Driven ML-Based Modelling for Correcting Inverse Estimation NeurIPS 2023 Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography CVPR 2023 STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction AAAI 2022