conftrace_

partial differential equation

222 papers

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Also known as

PDE

Co-occurring keywords

physics-informed neural network (97) neural network (6616) neural operator (74) operator learning (48) neural network optimization (1293) scientific machine learning (23) graph neural network (3962) inverse problem (240) physics-informed learning (66) fourier neural operator (22)

Papers

Convergence Rates for Gaussian Mixtures of Experts JMLR 2022
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis JMLR 2022
Learning Interface Conditions in Domain Decomposition Solvers NIPS 2022
Physics guided neural networks for spatio-temporal super-resolution of turbulent flows UAI 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Condensing CNNs With Partial Differential Equations CVPR 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion NIPS 2022
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs NIPS 2022
Lie Point Symmetry Data Augmentation for Neural PDE Solvers ICML 2022
Surprising Instabilities in Training Deep Networks and a Theoretical Analysis NIPS 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions NIPS 2022
PDEBench: An Extensive Benchmark for Scientific Machine Learning NIPS 2022
NOMAD: Nonlinear Manifold Decoders for Operator Learning NIPS 2022
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent NIPS 2022
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations NIPS 2022
Neural Stochastic PDEs: Resolution-Invariant Learning of Continuous Spatiotemporal Dynamics NIPS 2022
Is $L^2$ Physics Informed Loss Always Suitable for Training Physics Informed Neural Network? NIPS 2022
Generic bounds on the approximation error for physics-informed (and) operator learning NIPS 2022
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source IJCAI 2022
Efficient learning of sparse and decomposable PDEs using random projection UAI 2022
MAgNet: Mesh Agnostic Neural PDE Solver NIPS 2022
PDE-Based Optimal Strategy for Unconstrained Online Learning ICML 2022
Learning Green's functions associated with time-dependent partial differential equations JMLR 2022
Robust SDE-Based Variational Formulations for Solving Linear PDEs via Deep Learning ICML 2022
Composing Partial Differential Equations with Physics-Aware Neural Networks ICML 2022