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

Learning to Accelerate Partial Differential Equations via Latent Global Evolution NIPS 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids NIPS 2022
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs AAAI 2022
Online Matching in Sparse Random Graphs: Non-Asymptotic Performances of Greedy Algorithm NIPS 2021
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
A Priori Generalization Analysis of the Deep Ritz Method for Solving High Dimensional Elliptic Partial Differential Equations COLT 2021
Conditionally Parameterized, Discretization-Aware Neural Networks for Mesh-Based Modeling of Physical Systems NIPS 2021
On the Representation of Solutions to Elliptic PDEs in Barron Spaces NIPS 2021
LSH-SMILE: Locality Sensitive Hashing Accelerated Simulation and Learning NIPS 2021
Rethinking Neural Operations for Diverse Tasks NIPS 2021
SPDE-Net: Neural Network based prediction of stabilization parameter for SUPG technique ACML 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
Differential Spectral Normalization (DSN) for PDE Discovery AAAI 2021
GRAND: Graph Neural Diffusion ICML 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling NIPS 2021
PDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations NIPS 2021
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations NIPS 2021
Choose a Transformer: Fourier or Galerkin NIPS 2021
Characterizing possible failure modes in physics-informed neural networks NIPS 2021
Linearly Constrained Gaussian Processes with Boundary Conditions AISTATS 2021
Multi-Fidelity High-Order Gaussian Processes for Physical Simulation AISTATS 2021
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021
Learning Stochastic Behaviour from Aggregate Data ICML 2021
Functional Space Analysis of Local GAN Convergence ICML 2021
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation AAAI 2021