xuangu-fang / Gaussian-Process-Slover-for-High-Freq-PDELinks
Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)
☆25Updated last year
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:
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆28Updated last year
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆14Updated last year
- ☆12Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- ☆25Updated 6 months ago
- This is the implementation of the RecFNO.☆25Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆25Updated last year
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- Tackling the Curse of Dimensionality with Physics-Informed Neural Networks☆15Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆49Updated 4 months ago
- Code for orthogonal neural operator☆17Updated 2 years ago
- Physics Informed Fourier Neural Operator☆25Updated last year
- ☆47Updated 9 months ago
- ☆10Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆16Updated last year
- Deep finite volume method☆21Updated last year
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆15Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆23Updated 8 months ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆13Updated 8 months ago
- ☆24Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆11Updated 3 months ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆36Updated last year
- ☆66Updated 4 months ago
- Physics-encoded recurrent convolutional neural network☆48Updated 3 years ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated last year
- We propose the first Multiphysics Bench for benchmarking and investigating Scientific Machine Learning for solving multiphysics PDEs.☆33Updated 7 months ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆15Updated 2 years ago
- 🏔️ PINNACLE: PINN Adaptive ColLocation and Experimental points selection☆26Updated last year