physics-informed neural network

EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics AAAI 2025 How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective EMNLP 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 KP-PINNs: Kernel Packet Accelerated Physics Informed Neural Networks IJCAI 2025 Learning an Implicit Physics Model for Image-based Fluid Simulation ICCV 2025 Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups ICLR 2025 Neural Conjugate Flows: A Physics-Informed Architecture with Flow Structure AAAI 2025 Number Theoretic Accelerated Learning of Physics-Informed Neural Networks AAAI 2025 Physics-Informed Deep Learning and Compressive Collocation for High-Dimensional Diffusion-Reaction Equations: Practical Existence Theory and Numerics JMLR 2025 Physics-Informed Diffusion Models ICLR 2025 Physics Informed Kolmogorov-Arnold Neural Networks for Dynamical Analysis via Efficient-KAN and WAV-KAN JMLR 2025 PIED: Physics-Informed Experimental Design for Inverse Problems ICLR 2025 PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations ICLR 2025 QP Based Constrained Optimization for Reliable PINN Training L4DC 2025 Refined generalization analysis of the Deep Ritz Method and Physics-Informed Neural Networks ICML 2025 Solving Differential Equations with Constrained Learning ICLR 2025 Sub-Sequential Physics-Informed Learning with State Space Model ICML 2025 Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs ICLR 2024 An operator preconditioning perspective on training in physics-informed machine learning ICLR 2024 Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning NeurIPS 2024 Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024 Challenges in Training PINNs: A Loss Landscape Perspective ICML 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning NeurIPS 2024 DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks ICLR 2024