physics-informed neural network

A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026 A Natural Primal-Dual Hybrid Gradient Method for Adversarial Neural Network Training on Solving Partial Differential Equation JMLR 2026 Generalising Traffic Forecasting to Regions Without Traffic Observations AAAI 2026 Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract) AAAI 2026 Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling AAAI 2026 Physics-Informed Approach for Exploratory Hamilton–Jacobi–Bellman Equations via Policy Iterations AAAI 2026 Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations AAAI 2026 Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification AAAI 2026 PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI AAAI 2026 SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction AAAI 2026 STDE++: Polynomial-Time Amortization for Linear Differential Operators JMLR 2026 SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization AAAI 2026 Toward Trustworthy AI for Decision Making in Population Health AAAI 2026 Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning L4DC 2025 Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training AAAI 2025 A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract) AAAI 2025 ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning ICLR 2025 CO2-Net: A Physics-Informed Spatio-Temporal Model for Global Surface CO2 Reconstruction ICCV 2025 ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks ICLR 2025 CoPINN: Cognitive Physics-Informed Neural Networks ICML 2025 Deep Learning Alternatives Of The Kolmogorov Superposition Theorem ICLR 2025 DONIS: Importance Sampling for Training Physics-Informed DeepONet IJCAI 2025 Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025 Dynamics-Based Feature Augmentation of Graph Neural Networks for Variant Emergence Prediction AAAI 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025