AI4Science-WestlakeU / le-pde-uqLinks
[AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both forward and inverse problems.
☆16Updated last year
Alternatives and similar repositories for le-pde-uq
Users that are interested in le-pde-uq are comparing it to the libraries listed below
Sorting:
- ☆24Updated 5 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆18Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Updated 4 years ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆37Updated 2 years ago
- ☆23Updated last year
- ☆12Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆48Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 6 months ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆37Updated 8 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆75Updated 7 months ago
- ☆47Updated 8 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆30Updated last week
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆35Updated last year
- ☆20Updated 11 months ago
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆46Updated 3 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- ☆62Updated 3 months ago
- ☆39Updated 2 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆48Updated 2 months ago
- Multiwavelets-based operator model☆66Updated 3 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- ☆83Updated 2 years ago
- ☆54Updated 3 years ago
- ☆13Updated last year