partial differential equation

Separable Physics-Informed Neural Networks NeurIPS 2023 Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023 Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows NeurIPS 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NeurIPS 2023 Training Deep Surrogate Models with Large Scale Online Learning ICML 2023 Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023 Transformer Meets Boundary Value Inverse Problems ICLR 2023 Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data ICML 2023 Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023 Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NeurIPS 2022 A composable machine-learning approach for steady-state simulations on high-resolution grids NeurIPS 2022 A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NeurIPS 2022 A Universal PINNs Method for Solving Partial Differential Equations with a Point Source IJCAI 2022 Composing Partial Differential Equations with Physics-Aware Neural Networks ICML 2022 Condensing CNNs With Partial Differential Equations CVPR 2022 Convergence Rates for Gaussian Mixtures of Experts JMLR 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning ICLR 2022 Efficient learning of sparse and decomposable PDEs using random projection UAI 2022 GAR: Generalized Autoregression for Multi-Fidelity Fusion NeurIPS 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NeurIPS 2022 Learning Green's functions associated with time-dependent partial differential equations JMLR 2022 Learning Interface Conditions in Domain Decomposition Solvers NeurIPS 2022 Learning Operators with Coupled Attention JMLR 2022 Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks ICLR 2022