xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDE
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
☆20Updated 11 months ago
Alternatives and similar repositories for Gaussian-Process-Slover-for-High-Freq-PDE
Users that are interested in Gaussian-Process-Slover-for-High-Freq-PDE are comparing it to the libraries listed below
Sorting:
- ☆12Updated 2 years ago
- Code for orthogonal neural operator☆15Updated last year
- ☆20Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated 10 months ago
- ☆10Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆14Updated 8 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆29Updated 2 months ago
- ☆41Updated 2 years ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆21Updated 5 months ago
- ☆35Updated 2 months ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆26Updated 6 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆26Updated 3 years ago
- This is the implementation of the RecFNO.☆20Updated 2 years ago
- DeepONet extrapolation☆27Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 11 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- ☆32Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆22Updated 2 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Updated 11 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆64Updated 6 months ago
- ☆27Updated 2 months ago
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆15Updated 4 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆42Updated last year
- Differential equation neural operator☆22Updated last year
- Deep finite volume method☆21Updated 10 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆18Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆26Updated 5 months ago
- Fourier-enhanced multiple-input neural operators☆13Updated 8 months ago
- ☆14Updated 3 years ago