conftrace_

partial differential equation

222 papers

Explore in graph

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

Controlgym: Large-scale control environments for benchmarking reinforcement learning algorithms L4DC 2024
Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activations IJCAI 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NIPS 2024
Operator learning without the adjoint JMLR 2024
Neural Oscillators for Generalization of Physics-Informed Machine Learning AAAI 2024
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling JMLR 2024
Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations IJCAI 2024
On conditional diffusion models for PDE simulations NIPS 2024
Understanding the difficulty of solving Cauchy problems with PINNs L4DC 2024
Neural Physical Simulation with Multi-Resolution Hash Grid Encoding AAAI 2024
FUSE: Fast Unified Simulation and Estimation for PDEs NIPS 2024
Random Grid Neural Processes for Parametric Partial Differential Equations 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
Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Exploration on Physics-Informed Neural Networks on Partial Differential Equations (Student Abstract) AAAI 2023
NUNO: A General Framework for Learning Parametric PDEs with Non-Uniform Data ICML 2023
DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks AAAI 2023
Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces 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
Transfer Learning Enhanced DeepONet for Long-Time Prediction of Evolution Equations AAAI 2023
D-CIPHER: Discovery of Closed-form Partial Differential Equations NIPS 2023
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023