partial differential equation

DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023 Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract) AAAI 2023 Factorized Fourier Neural Operators ICLR 2023 Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023 Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023 General Covariance Data Augmentation for Neural PDE Solvers ICML 2023 Geometry-Informed Neural Operator for Large-Scale 3D PDEs NeurIPS 2023 GNOT: A General Neural Operator Transformer for Operator Learning ICML 2023 Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023 Group Equivariant Fourier Neural Operators for Partial Differential Equations ICML 2023 Guiding continuous operator learning through Physics-based boundary constraints ICLR 2023 Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NeurIPS 2023 Implicit Neural Spatial Representations for Time-dependent PDEs ICML 2023 LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite NeurIPS 2023 Latent Traversals in Generative Models as Potential Flows ICML 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Neural PDE Solvers with Parameter-Guided Channel Attention ICML 2023 Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces JMLR 2023 Learning Physical Models that Can Respect Conservation Laws ICML 2023 Learning Physics-Informed Neural Networks without Stacked Back-propagation AISTATS 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers ICML 2023 Learning Space-Time Continuous Latent Neural PDEs from Partially Observed States NeurIPS 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023