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

MultiAdam: Parameter-wise Scale-invariant Optimizer for Multiscale Training of Physics-informed Neural Networks ICML 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023
Gradient Descent Finds the Global Optima of Two-Layer Physics-Informed Neural Networks ICML 2023
Random Grid Neural Processes for Parametric Partial Differential Equations ICML 2023
Implicit Neural Spatial Representations for Time-dependent PDEs ICML 2023
Neural Inverse Operators for Solving PDE Inverse Problems ICML 2023
Neural Q-learning for solving PDEs JMLR 2023
Latent Traversals in Generative Models as Potential Flows ICML 2023
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers AAAI 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks NIPS 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks NIPS 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing NIPS 2023
Nonparametric Boundary Geometry in Physics Informed Deep Learning NIPS 2023
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations NIPS 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers NIPS 2023
Convolutional Neural Operators for robust and accurate learning of PDEs NIPS 2023
Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NIPS 2023
D-CIPHER: Discovery of Closed-form Partial Differential Equations NIPS 2023
Neural Operator: Learning Maps Between Function Spaces With Applications to PDEs JMLR 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries JMLR 2023
Solving High-Dimensional PDEs with Latent Spectral Models ICML 2023
Learning Physical Models that Can Respect Conservation Laws ICML 2023
NeuralStagger: Accelerating Physics-constrained Neural PDE Solver with Spatial-temporal Decomposition ICML 2023